By CHRIS McGOWAN This image of Jupiter from NASA’s James Webb Space Telescope’s NIRCam (Near-Infrared Camera) shows stunning details of the majestic planet in infrared light. (Image courtesy of NASA, ESA and CSA) Special effects have been used for decades to depict space exploration, from visits to planets and moons to zero gravity and spaceships – one need only think of the landmark 2001: A Space Odyssey (1968). Since that era, visual effects have increasingly grown in realism and importance. VFX have been used for entertainment and for scientific purposes, outreach to the public and astronaut training in virtual reality. Compelling images and videos can bring data to life. NASA’s Scientific Visualization Studio (SVS) produces visualizations, animations and images to help scientists tell stories of their research and make science more approachable and engaging. A.J. Christensen is a senior visualization designer for the NASA Scientific Visualization Studio (SVS) at the Goddard Space Flight Center in Greenbelt, Maryland. There, he develops data visualization techniques and designs data-driven imagery for scientific analysis and public outreach using Hollywood visual effects tools, according to NASA. SVS visualizations feature datasets from Earth-and space-based instrumentation, scientific supercomputer models and physical statistical distributions that have been analyzed and processed by computational scientists. Christensen’s specialties include working with 3D volumetric data, using the procedural cinematic software Houdini and science topics in Heliophysics, Geophysics and Astrophysics. He previously worked at the National Center for Supercomputing Applications’ Advanced Visualization Lab where he worked on more than a dozen science documentary full-dome films as well as the IMAX films Hubble 3D and A Beautiful Planet – and he worked at DNEG on the movie Interstellar, which won the 2015 Best Visual Effects Academy Award. This global map of CO2 was created by NASA’s Scientific Visualization Studio using a model called GEOS, short for the Goddard Earth Observing System. GEOS is a high-resolution weather reanalysis model, powered by supercomputers, that is used to represent what was happening in the atmosphere. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) “The NASA Scientific Visualization Studio operates like a small VFX studio that creates animations of scientific data that has been collected or analyzed at NASA. We are one of several groups at NASA that create imagery for public consumption, but we are also a part of the scientific research process, helping scientists understand and share their data through pictures and video.” —A.J. Christensen, Senior Visualization Designer, NASA Scientific Visualization Studio (SVS) About his work at NASA SVS, Christensen comments, “The NASA Scientific Visualization Studio operates like a small VFX studio that creates animations of scientific data that has been collected or analyzed at NASA. We are one of several groups at NASA that create imagery for public consumption, but we are also a part of the scientific research process, helping scientists understand and share their data through pictures and video. This past year we were part of NASA’s total eclipse outreach efforts, we participated in all the major earth science and astronomy conferences, we launched a public exhibition at the Smithsonian Museum of Natural History called the Earth Information Center, and we posted hundreds of new visualizations to our publicly accessible website: svs.gsfc.nasa.gov.” This is the ‘beauty shot version’ of Perpetual Ocean 2: Western Boundary Currents. The visualization starts with a rotating globe showing ocean currents. The colors used to color the flow in this version were chosen to provide a pleasing look. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) The Gulf Stream and connected currents. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Venus, our nearby “sister” planet, beckons today as a compelling target for exploration that may connect the objects in our own solar system to those discovered around nearby stars. (Image courtesy of NASA’s Goddard Space Flight Center) WORKING WITH DATA While Christensen is interpreting the data from active spacecraft and making it usable in different forms, such as for science and outreach, he notes, “It’s not just spacecraft that collect data. NASA maintains or monitors instruments on Earth too – on land, in the oceans and in the air. And to be precise, there are robots wandering around Mars that are collecting data, too.” He continues, “Sometimes the data comes to our team as raw telescope imagery, sometimes we get it as a data product that a scientist has already analyzed and extracted meaning from, and sometimes various sensor data is used to drive computational models and we work with the models’ resulting output.” Jupiter’s moon Europa may have life in a vast ocean beneath its icy surface. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) HOUDINI AND OTHER TOOLS “Data visualization means a lot of different things to different people, but many people on our team interpret it as a form of filmmaking,” Christensen says. “We are very inspired by the approach to visual storytelling that Hollywood uses, and we use tools that are standard for Hollywood VFX. Many professionals in our area – the visualization of 3D scientific data – were previously using other animation tools but have discovered that Houdini is the most capable of understanding and manipulating unusual data, so there has been major movement toward Houdini over the past decade.” Satellite imagery from NASA’s Solar Dynamics Observatory (SDO) shows the Sun in ultraviolet light colorized in light brown. Seen in ultraviolet light, the dark patches on the Sun are known as coronal holes and are regions where fast solar wind gushes out into space. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Christensen explains, “We have always worked with scientific software as well – sometimes there’s only one software tool in existence to interpret a particular kind of scientific data. More often than not, scientific software does not have a GUI, so we’ve had to become proficient at learning new coding environments very quickly. IDL and Python are the generic data manipulation environments we use when something is too complicated or oversized for Houdini, but there are lots of alternatives out there. Typically, we use these tools to get the data into a format that Houdini can interpret, and then we use Houdini to do our shading, lighting and camera design, and seamlessly blend different datasets together.” While cruising around Saturn in early October 2004, Cassini captured a series of images that have been composed into this large global natural color view of Saturn and its rings. This grand mosaic consists of 126 images acquired in a tile-like fashion, covering one end of Saturn’s rings to the other and the entire planet in between. (Image courtesy of ASA/JPL/Space Science Institute) The black hole Gargantua and the surrounding accretion disc from the 2014 movie Interstellar. (Image courtesy of DNEG and Paramount Pictures) Another visualization of the black hole Gargantua. (Image courtesy of DNEG and Paramount Pictures) INTERSTELLAR & GARGANTUA Christensen recalls working for DNEG on Interstellar (2014). “When I first started at DNEG, they asked me to work on the giant waves on Miller’s ocean planet [in the film]. About a week in, my manager took me into the hall and said, ‘I was looking at your reel and saw all this astronomy stuff. We’re working on another sequence with an accretion disk around a black hole that I’m wondering if we should put you on.’ And I said, ‘Oh yeah, I’ve done lots of accretion disks.’ So, for the rest of my time on the show, I was working on the black hole team.” He adds, “There are a lot of people in my community that would be hesitant to label any big-budget movie sequence as a scientific visualization. The typical assumption is that for a Hollywood movie, no one cares about accuracy as long as it looks good. Guardians of the Galaxy makes it seem like space is positively littered with nebulae, and Star Wars makes it seem like asteroids travel in herds. But the black hole Gargantua in Interstellar is a good case for being called a visualization. The imagery you see in the movie is the direct result of a collaboration with an expert scientist, Dr. Kip Thorne, working with the DNEG research team using the actual Einstein equations that describe the gravity around a black hole.” Thorne is a Nobel Prize-winning theoretical physicist who taught at Caltech for many years. He has reached wide audiences with his books and presentations on black holes, time travel and wormholes on PBS and BBC shows. Christensen comments, “You can make the argument that some of the complexity around what a black hole actually looks like was discarded for the film, and they admit as much in the research paper that was published after the movie came out. But our team at NASA does that same thing. There is no such thing as an objectively ‘true’ scientific image – you always have to make aesthetic decisions around whether the image tells the science story, and often it makes more sense to omit information to clarify what’s important. Ultimately, Gargantua taught a whole lot of people something new about science, and that’s what a good scientific visualization aims to do.” The SVS produces an annual visualization of the Moon’s phase and libration comprising 8,760 hourly renderings of its precise size, orientation and illumination. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) FURTHER CHALLENGES The sheer size of the data often encountered by Christensen and his peers is a challenge. “I’m currently working with a dataset that is 400GB per timestep. It’s so big that I don’t even want to move it from one file server to another. So, then I have to make decisions about which data attributes to keep and which to discard, whether there’s a region of the data that I can cull or downsample, and I have to experiment with data compression schemes that might require me to entirely re-design the pipeline I’m using for Houdini. Of course, if I get rid of too much information, it becomes very resource-intensive to recompute everything, but if I don’t get rid of enough, then my design process becomes agonizingly slow.” SVS also works closely with its NASA partner groups Conceptual Image Lab (CIL) and Goddard Media Studios (GMS) to publish a diverse array of content. Conceptual Image Lab focuses more on the artistic side of things – producing high-fidelity renders using film animation and visual design techniques, according to NASA. Where the SVS primarily focuses on making data-based visualizations, CIL puts more emphasis on conceptual visualizations – producing animations featuring NASA spacecraft, planetary observations and simulations, according to NASA. Goddard Media Studios, on the other hand, is more focused towards public outreach – producing interviews, TV programs and documentaries. GMS continues to be the main producers behind NASA TV, and as such, much of their content is aimed towards the general public. An impact crater on the moon. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Image of Mars showing a partly shadowed Olympus Mons toward the upper left of the image. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Mars. Hellas Basin can be seen in the lower right portion of the image. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Mars slightly tilted to show the Martian North Pole. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Christensen notes, “One of the more unique challenges in this field is one of bringing people from very different backgrounds to agree on a common outcome. I work on teams with scientists, communicators and technologists, and we all have different communities we’re trying to satisfy. For instance, communicators are generally trying to simplify animations so their learning goal is clear, but scientists will insist that we add text and annotations on top of the video to eliminate ambiguity and avoid misinterpretations. Often, the technologist will have to say we can’t zoom in or look at the data in a certain way because it will show the data boundaries or data resolution limits. Every shot is a negotiation, but in trying to compromise, we often push the boundaries of what has been done before, which is exciting.”

In context: TSMC has steadily raised the prices of its most advanced semiconductor process nodes over the past several years – so much so that one analysis suggests the cost per transistor hasn't decreased in over a decade. Further price hikes, driven by tariffs and rising development costs, are reinforcing the notion that Moore's Law is truly dead. The Commercial Times reports that TSMC's upcoming N2 2nm semiconductors will cost $30,000 per wafer, a roughly 66% increase over the company's 3nm chips. Future nodes are expected to be even more expensive and likely reserved for the largest manufacturers. TSMC has justified these price increases by citing the massive cost of building 2nm fabrication plants, which can reach up to $725 million. According to United Daily News, major players such as Apple, AMD, Qualcomm, Broadcom, and Nvidia are expected to place orders before the end of the year despite the higher prices, potentially bringing TSMC's 2nm Arizona fab to full capacity. Also see: How profitable are TSMC's nodes: crunching the numbers Unsurprisingly, Apple is getting first dibs. The A20 processor in next year's iPhone 18 Pro is expected to be the first chip based on TSMC's N2 process. Intel's Nova Lake processors, targeting desktops and possibly high-end laptops, are also slated to use N2 and are expected to launch next year. Earlier reports indicated that yield rates for TSMC's 2nm process reached 60% last year and have since improved. New data suggests that 256Mb SRAM yield rates now exceed 90%. Trial production is likely already underway, with mass production scheduled to begin later this year. // Related Stories With tape-outs for 2nm-based designs surpassing previous nodes at the same development stage, TSMC aims to produce tens of thousands of wafers by the end of 2025. TSMC also plans to follow N2 with N2P and N2X in the second half of next year. N2P is expected to offer an 18% performance boost over N3E at the same power level and 36% greater energy efficiency at the same speed, along with significantly higher logic density. N2X, slated for mass production in 2027, will increase maximum clock frequencies by 10%. As semiconductor geometries continue to shrink, power leakage becomes a major concern. TSMC's 2nm nodes will address this issue with gate-all-around (GAA) transistor architectures, enabling more precise control of electrical currents. Beyond 2nm lies the Angstrom era, where TSMC will implement backside power delivery to further enhance performance. Future process nodes like A16 (1.6nm) and A14 (1.4nm) could cost up to $45,000 per wafer. Meanwhile, Intel is aiming to outpace TSMC's roadmap. The company recently began risk production of its A18 node, which also features gate-all-around and backside power delivery. These chips are expected to debut later this year in Intel's upcoming laptop CPUs, codenamed Panther Lake.

From August 23rd - September 14th, 2023 (Kodiak, Alaska to Seward, Alaska), NOAA Ocean Exploration conducted Seascape Alaska 5: Gulf of Alaska Remotely Operated Vehicle Exploration and Mapping (EX2306), a remotely operated vehicle (ROV) and mapping expedition to the Gulf of Alaska on NOAA Ship Okeanos Explorer. Operations during this 23-day expedition included the completion of 19 successful remotely operated vehicle (ROV) dives, which were conducted in water depths ranging from 253.1 m to 4261.5 m for approximately 87 hours of bottom time and resulted in the collection of 383 samples. EX2306 also collected more than 28,000 sq. km of seafloor bathymetry and associated water column data using an EM 304 multibeam sonar. These images were captured on dives that were included in the source data for the How Little We’ve Seen: A Visual Coverage Estimate of the Deep Seafloor paper. They are good general reference imagery for the type of deep ocean observations captured by ROVs.(Image Courtesy of NOAA Ocean Exploration)NewsletterSign up for our email newsletter for the latest science newsKey Takeaways on Deep Ocean Exploration: We have visually explored less than 0.001 percent of the deep sea floor. To put that in perspective, 66 percent of the planet is deep ocean, and 99.999 percent of that ocean is unknown to us.Like ecosystems on land, the sea has a complex food web. Most of life in the sea depends on detritus, mostly phytoplankton, falling down from the surface, something called “marine snow.”Organisms that live in shallow water absorb carbon dioxide and take that with them when they sink to the bottom, often to be buried in deep-sea sediment. This is known as a carbon sink. It’s important to know the rates at which this happens, because this partially offsets the carbon we’re adding to the atmosphere. It’s been said many times that we know more about the moon than our own ocean. But is it really true that we’ve explored only a tiny portion of the sea?Katy Croff Bell wondered about this, too. Bell is an oceanographer and the founder of the Ocean Discovery League. She knew that Woods Hole Oceanographic Institution and others have been operating deep-sea submersibles like Alvin for decades, and there are facilities in 20 or so places around the world doing deep-sea research. But how much of the sea floor have these projects actually explored visually, not just mapped or sampled?Mapping the Deep OceanBell started looking up dive data and doing some math. “I stayed up way too late and came up with a very, very tiny number,” she recalls. She didn’t believe her own results and got everyone she could think of to double-check her math. But the results held. Over the next four years, she and her team compiled a database of dives from organizations and individuals around the world, and the data support her initial estimate. The number is indeed tiny. It turns out that we have visually explored less than 0.001 percent of the deep sea floor. To put that in perspective, 66 percent of the planet is deep ocean, and 99.999 percent of that ocean is unknown to us. Bell and her team published their findings in May 2025 in the journal Science Advances.Why Deep Sea Exploration MattersFrom July 14 - July 25, 2023, NOAA Ocean Exploration and partners conducted the third in a series of Seascape Alaska expeditions on NOAA Ship Okeanos Explorer. Over the course of 12 days at sea, the team conducted 6 full remotely operated vehicle (ROV) dives, mapped nearly 16,000 square kilometers (6,180 square miles), and collected a variety of biological and geological samples. When combined with numerous biological and geological observations, data from the Seascape Alaska 3: Aleutians Remotely Operated Vehicle Exploration and Mapping expedition will help to establish a baseline assessment of the ocean environment, increase understanding of marine life and habitats to inform management decisions, and increase public awareness of ocean issues. These images were captured on dives that were included in the source data for the How Little We’ve Seen: A Visual Coverage Estimate of the Deep Seafloor paper. They are good general reference imagery for the type of deep ocean observations captured by ROVs. (Image Courtesy of NOAA Ocean Exploration)About 26 percent of the ocean has been mapped with multi-beam sonar, explains Bell, and that gives us an idea of the shape of the ocean floor. But that’s like looking at a topographical map of an area you’re planning to hike. You know where the hills and valleys are, but you have no idea what kind of plants and animals you’re likely to encounter. If you want to understand the deep ocean, you need to get down there and see what kind of rocks and sediment are there, learn about the corals and sponges and other animals living there, she says. Samples of ocean life are helpful, but they do not give anything like a full picture of the life-forms in the deep sea, and more importantly, they tell you little about the complex ecosystems they’re a part of. But when you put mapping and sampling together with visual data, plus data about temperature, depths, and salinity, Bell says, you start to build a picture of what a given ocean habitat is like, and eventually, the role of that habitat in the global ocean system.The Deep-Sea "Snow" That Provides LifeFrom August 23rd - September 14th, 2023 (Kodiak, Alaska to Seward, Alaska), NOAA Ocean Exploration conducted Seascape Alaska 5: Gulf of Alaska Remotely Operated Vehicle Exploration and Mapping (EX2306), a remotely operated vehicle (ROV) and mapping expedition to the Gulf of Alaska on NOAA Ship Okeanos Explorer. Operations during this 23-day expedition included the completion of 19 successful remotely operated vehicle (ROV) dives, which were conducted in water depths ranging from 253.1 m to 4261.5 m for approximately 87 hours of bottom time and resulted in the collection of 383 samples. EX2306 also collected more than 28,000 sq. km of seafloor bathymetry and associated water column data using an EM 304 multibeam sonar. These images were captured on dives that were included in the source data for the How Little We’ve Seen: A Visual Coverage Estimate of the Deep Seafloor paper. They are good general reference imagery for the type of deep ocean observations captured by ROVs. (Image Courtesy of NOAA Ocean Exploration)Like ecosystems on land, the sea has a complex food web. Most of life in the sea depends on detritus, mostly phytoplankton, falling down from the surface, something called “marine snow,” explains James Douglass, an ecologist at Florida Gulf Coast University who studies life on the sea bed. This snow of nutrients is eaten by what are called suspension feeders, including filter feeders, such as sponges and corals, which have tentacles or basket-like appendages to trap the snow. Then other organisms, such as crabs and worms, feed on these creatures. The crabs and worms, in turn, are eaten by fish. Deposit feeders, such as the sea pig, a type of sea cucumber that “trundles across the bottom eating mud all day,” add to the already huge variety of life, Douglass says. The types of organisms you have in the deep sea depend on how deep it is, whether the sea floor is rocky or muddy, how quickly currents bring food, and whether there are underwater hot springs or cold seeps, or other sources of extra energy, says Douglass. So yes, it’s a complicated world down there, and there’s an awful lot we don’t yet know.Deep-Sea Ecosystems and Climate Change From July 14 - July 25, 2023, NOAA Ocean Exploration and partners conducted the third in a series of Seascape Alaska expeditions on NOAA Ship Okeanos Explorer. Over the course of 12 days at sea, the team conducted 6 full remotely operated vehicle (ROV) dives, mapped nearly 16,000 square kilometers (6,180 square miles), and collected a variety of biological and geological samples. When combined with numerous biological and geological observations, data from the Seascape Alaska 3: Aleutians Remotely Operated Vehicle Exploration and Mapping expedition will help to establish a baseline assessment of the ocean environment, increase understanding of marine life and habitats to inform management decisions, and increase public awareness of ocean issues. These images were captured on dives that were included in the source data for the How Little We’ve Seen: A Visual Coverage Estimate of the Deep Seafloor paper. They are good general reference imagery for the type of deep ocean observations captured by ROVs. (Image Courtesy of NOAA Ocean Exploration)Learning about ocean ecosystems is extremely valuable as basic science. But it has a more urgent purpose as well. Though we often think of the land and the sea as two completely separate places, they are intertwined in many significant ways. The ocean has absorbed 90 percent of the excess heat and 30 percent of the carbon dioxide released into the atmosphere by humans, says Bell. “But we don’t really have a good understanding of how this is going to impact deep-sea ecosystems, and those ecosystems play a vital role in the process of carbon sequestration,” she says.When it comes to climate change, the deep sea has a lot to teach us. In parts of the deep sea, Douglass explains, nothing disturbs the layers of sediment that are deposited slowly over the course of thousands, even millions of years. Geologists can interpret the layers and study the fossils preserved in them to get an understanding of what the conditions of the planet were like in the distant past, similar to the way climatologists study Antarctic ice cores. “We've learned things about how the ocean ecosystem changes when climate changes. We've learned that some worrying things can happen under certain climate conditions in the deep ocean,” Douglass says. “For example, the ocean can become less oxygenated, which would be a catastrophic threat to deep-sea life.”The Deep Ocean and Climate RegulationAnd, of course, there’s carbon dioxide. “The deep sea is not just a passive record of what happened to the climate; it’s involved in regulating climate,” Douglass says. Organisms that live in shallow water absorb carbon dioxide and take that with them when they sink to the bottom, often to be buried in deep-sea sediment. This is known as a carbon sink. Douglass says it’s very important to know the rates at which this happens, because this partially offsets the carbon we’re adding to the atmosphere. “Deep-sea carbon storage is a huge element in our understanding of the planet's ability to regulate climate,” he adds.If we are to truly understand the way the entire planet works, we need to understand the deep sea and its complex ecosystems as well as life on land and in the shallows. And to do that, Bell says, we need to get down there and look.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:Science Advances. How little we’ve seen: A visual coverage estimate of the deep seafloorAvery Hurt is a freelance science journalist. In addition to writing for Discover, she writes regularly for a variety of outlets, both print and online, including National Geographic, Science News Explores, Medscape, and WebMD. She’s the author of Bullet With Your Name on It: What You Will Probably Die From and What You Can Do About It, Clerisy Press 2007, as well as several books for young readers. Avery got her start in journalism while attending university, writing for the school newspaper and editing the student non-fiction magazine. Though she writes about all areas of science, she is particularly interested in neuroscience, the science of consciousness, and AI–interests she developed while earning a degree in philosophy.1 free article leftWant More? Get unlimited access for as low as $1.99/monthSubscribeAlready a subscriber?Register or Log In1 free articleSubscribeWant more?Keep reading for as low as $1.99!SubscribeAlready a subscriber?Register or Log In

Editor's take: The University of Arizona could become the birthplace of the world's first petahertz-speed transistor. If successful, this research work could mark the dawn of a new era in computing, where the speed of light, rather than electricity, sets the pace for innovation. A team of scientists has unveiled a breakthrough that could one day propel computers to operate at speeds millions of times faster than today's most advanced processors. The discovery, led by researchers at the University of Arizona and their international collaborators, centers on harnessing ultrafast pulses of light to control the movement of electrons in graphene – a material just one atom thick. The research, recently published in Nature Communications, demonstrates that electrons can be made to bypass barriers almost instantaneously by firing laser pulses lasting less than a trillionth of a second at graphene. This phenomenon, known as quantum tunneling, has long intrigued physicists, but the team's ability to observe and manipulate it in real time marks a significant milestone. Mohammed Hassan, an associate professor of physics and optical sciences at the University of Arizona, explained that this advance could usher in processing speeds in the petahertz range – over a thousand times faster than the chips powering today's computers. Such a leap, he said, would transform the landscape of computing, enabling dramatic progress in fields ranging from artificial intelligence and space research to chemistry and health care. Hassan, who previously led the development of the world's fastest electron microscope, worked alongside colleagues from the University of Arizona, the California Institute of Technology's Jet Propulsion Laboratory, and Ludwig Maximilian University of Munich. Their initial focus was studying how graphene conducts electricity when exposed to laser light. Typically, the symmetrical structure of graphene causes the currents generated on either side to cancel each other out, resulting in no net current. However, the team made a surprising discovery after modifying the graphene samples. They observed that a single electron could "tunnel" through the material – and that this fleeting event could be captured in real time. This unexpected result prompted further investigation and ultimately led to the creation of what Hassan calls "the world's fastest petahertz quantum transistor." // Related Stories To achieve this, the scientists used a commercially available graphene phototransistor, enhanced with a special silicon layer. They exposed it to a laser switching on and off at an astonishing rate of 638 attoseconds – each attosecond being one quintillionth of a second. The result was a transistor capable of operating at petahertz speeds, a feat previously considered far beyond reach. Unlike many scientific breakthroughs that require highly controlled laboratory environments, this new transistor functioned in everyday, ambient conditions. This opens the door for the technology to be adapted for commercial use and integrated into future generations of electronic devices. Hassan and his team are now working with Tech Launch Arizona to patent and commercialize their invention. Their next goal is to develop a version of the transistor that operates using standard, commercially available lasers, making the technology more accessible to industry partners.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After three hours at Google’s I/O 2025 event last week in Silicon Valley, it became increasingly clear: Google is rallying its formidable AI efforts – prominently branded under the Gemini name but encompassing a diverse range of underlying model architectures and research – with laser focus. It is releasing a slew of innovations and technologies around it, then integrating them into products at a breathtaking pace. Beyond headline-grabbing features, Google laid out a bolder ambition: an operating system for the AI age – not the disk-booting kind, but a logic layer every app could tap – a “world model” meant to power a universal assistant that understands our physical surroundings, and reasons and acts on our behalf. It’s a strategic offensive that many observers may have missed amid the bamboozlement of features.  On one hand, it’s a high-stakes strategy to leapfrog entrenched competitors. But on the other, as Google pours billions into this moonshot, a critical question looms: Can Google’s brilliance in AI research and technology translate into products faster than its rivals, whose edge has its own brilliance: packaging AI into immediately accessible and commercially potent products? Can Google out-maneuver a laser-focused Microsoft, fend off OpenAI’s vertical hardware dreams, and, crucially, keep its own search empire alive in the disruptive currents of AI? Google is already pursuing this future at dizzying scale. Pichai told I/O that the company now processes 480 trillion tokens a month – 50× more than a year ago – and almost 5x more than the 100 trillion tokens a month that Microsoft’s Satya Nadella said his company processed. This momentum is also reflected in developer adoption, with Pichai saying that over 7 million developers are now building with the Gemini API, representing a five-fold increase since the last I/O, while Gemini usage on Vertex AI has surged more than 40 times. And unit costs keep falling as Gemini 2.5 models and the Ironwood TPU squeeze more performance from each watt and dollar. AI Mode (rolling out in the U.S.) and AI Overviews (already serving 1.5 billion users monthly) are the live test beds where Google tunes latency, quality, and future ad formats as it shifts search into an AI-first era. Source: Google I/O 20025 Google’s doubling-down on what it calls “a world model” – an AI it aims to imbue with a deep understanding of real-world dynamics – and with it a vision for a universal assistant – one powered by Google, and not other companies – creates another big tension: How much control does Google want over this all-knowing assistant, built upon its crown jewel of search? Does it primarily want to leverage it first for itself, to save its $200 billion search business that depends on owning the starting point and avoiding disruption by OpenAI? Or will Google fully open its foundational AI for other developers and companies to leverage – another  segment representing a significant portion of its business, engaging over 20 million developers, more than any other company?  It has sometimes stopped short of a radical focus on building these core products for others with the same clarity as its nemesis, Microsoft. That’s because it keeps a lot of core functionality reserved for its cherished search engine. That said, Google is making significant efforts to provide developer access wherever possible. A telling example is Project Mariner. Google could have embedded the agentic browser-automation features directly inside Chrome, giving consumers an immediate showcase under Google’s full control. However, Google followed up by saying Mariner’s computer-use capabilities would be released via the Gemini API more broadly “this summer.” This signals that external access is coming for any rival that wants comparable automation. In fact, Google said partners Automation Anywhere and UiPath were already building with it. Google’s grand design: the ‘world model’ and universal assistant The clearest articulation of Google’s grand design came from Demis Hassabis, CEO of Google DeepMind, during the I/O keynote. He stated Google continued to “double down” on efforts towards artificial general intelligence (AGI). While Gemini was already “the best multimodal model,” Hassabis explained, Google is working hard to “extend it to become what we call a world model. That is a model that can make plans and imagine new experiences by simulating aspects of the world, just like the brain does.”  This concept of ‘a world model,’ as articulated by Hassabis, is about creating AI that learns the underlying principles of how the world works – simulating cause and effect, understanding intuitive physics, and ultimately learning by observing, much like a human does. An early, perhaps easily overlooked by those not steeped in foundational AI research, yet significant indicator of this direction is Google DeepMind’s work on models like Genie 2. This research shows how to generate interactive, two-dimensional game environments and playable worlds from varied prompts like images or text. It offers a glimpse at an AI that can simulate and understand dynamic systems. Hassabis has developed this concept of a “world model” and its manifestation as a “universal AI assistant” in several talks since late 2024, and it was presented at I/O most comprehensively – with CEO Sundar Pichai and Gemini lead Josh Woodward echoing the vision on the same stage. (While other AI leaders, including Microsoft’s Satya Nadella, OpenAI’s Sam Altman, and xAI’s Elon Musk have all discussed ‘world models,” Google uniquely and most comprehensively ties this foundational concept to its near-term strategic thrust: the ‘universal AI assistant.) Speaking about the Gemini app, Google’s equivalent to OpenAI’s ChatGPT, Hassabis declared, “This is our ultimate vision for the Gemini app, to transform it into a universal AI assistant, an AI that’s personal, proactive, and powerful, and one of our key milestones on the road to AGI.”  This vision was made tangible through I/O demonstrations. Google demoed a new app called Flow – a drag-and-drop filmmaking canvas that preserves character and camera consistency – that leverages Veo 3, the new model that layers physics-aware video and native audio. To Hassabis, that pairing is early proof that ‘world-model understanding is already leaking into creative tooling.’ For robotics, he separately highlighted the fine-tuned Gemini Robotics model, arguing that ‘AI systems will need world models to operate effectively.” CEO Sundar Pichai reinforced this, citing Project Astra which “explores the future capabilities of a universal AI assistant that can understand the world around you.” These Astra capabilities, like live video understanding and screen sharing, are now integrated into Gemini Live. Josh Woodward, who leads Google Labs and the Gemini App, detailed the app’s goal to be the “most personal, proactive, and powerful AI assistant.” He showcased how “personal context” (connecting search history, and soon Gmail/Calendar) enables Gemini to anticipate needs, like providing personalized exam quizzes or custom explainer videos using analogies a user understands (e.g., thermodynamics explained via cycling. This, Woodward emphasized, is “where we’re headed with Gemini,” enabled by the Gemini 2.5 Pro model allowing users to “think things into existence.”  The new developer tools unveiled at I/O are building blocks. Gemini 2.5 Pro with “Deep Think” and the hyper-efficient 2.5 Flash (now with native audio and URL context grounding from Gemini API) form the core intelligence. Google also quietly previewed Gemini Diffusion, signalling its willingness to move beyond pure Transformer stacks when that yields better efficiency or latency. Google is stuffing these capabilities into a crowded toolkit: AI Studio and Firebase Studio are core starting points for developers, while Vertex AI remains the enterprise on-ramp. The strategic stakes: defending search, courting developers amid an AI arms race This colossal undertaking is driven by Google’s massive R&D capabilities but also by strategic necessity. In the enterprise software landscape, Microsoft has a formidable hold, a Fortune 500 Chief AI Officer told VentureBeat, reassuring customers with its full commitment to tooling Copilot. The executive requested anonymity because of the sensitivity of commenting on the intense competition between the AI cloud providers. Microsoft’s dominance in Office 365 productivity applications will be exceptionally hard to dislodge through direct feature-for-feature competition, the executive said. Google’s path to potential leadership – its “end-run” around Microsoft’s enterprise hold – lies in redefining the game with a fundamentally superior, AI-native interaction paradigm. If Google delivers a truly “universal AI assistant” powered by a comprehensive world model, it could become the new indispensable layer – the effective operating system – for how users and businesses interact with technology. As Pichai mused with podcaster David Friedberg shortly before I/O, that means awareness of physical surroundings. And so AR glasses, Pichai said, “maybe that’s the next leap…that’s what’s exciting for me.” But this AI offensive is a race against multiple clocks. First, the $200 billion search-ads engine that funds Google must be protected even as it is reinvented. The U.S. Department of Justice’s monopolization ruling still hangs over Google – divestiture of Chrome has been floated as the leading remedy. And in Europe, the Digital Markets Act as well as emerging copyright-liability lawsuits could hem in how freely Gemini crawls or displays the open web. Finally, execution speed matters. Google has been criticized for moving slowly in past years. But over the past 12 months, it became clear Google had been working patiently on multiple fronts, and that it has paid off with faster growth than rivals. The challenge of successfully navigating this AI transition at massive scale is immense, as evidenced by the recent Bloomberg report detailing how even a tech titan like Apple is grappling with significant setbacks and internal reorganizations in its AI initiatives. This industry-wide difficulty underscores the high stakes for all players. While Pichai lacks the showmanship of some rivals, the long list of enterprise customer testimonials Google paraded at its Cloud Next event last month – about actual AI deployments – underscores a leader who lets sustained product cadence and enterprise wins speak for themselves.  At the same time, focused competitors advance. Microsoft’s enterprise march continues. Its Build conference showcased Microsoft 365 Copilot as the “UI for AI,” Azure AI Foundry as a “production line for intelligence,” and Copilot Studio for sophisticated agent-building, with impressive low-code workflow demos (Microsoft Build Keynote, Miti Joshi at 22:52, Kadesha Kerr at 51:26). Nadella’s “open agentic web” vision (NLWeb, MCP) offers businesses a pragmatic AI adoption path, allowing selective integration of AI tech – whether it be Google’s or another competitor’s – within a Microsoft-centric framework. OpenAI, meanwhile, is way out ahead with the consumer reach of its ChatGPT product, with recent references by the company to having 600 million monthly users, and 800 million weekly users. This compares to the Gemini app’s 400 million monthly users. And in December, OpenAI launched a full-blown search offering, and is reportedly planning an ad offering – posing what could be an existential threat to Google’s search model. Beyond making leading models, OpenAI is making a provocative vertical play with its reported $6.5 billion acquisition of Jony Ive’s IO, pledging to move “beyond these legacy products” – and hinting that it was launching a hardware product that would attempt to disrupt AI just like the iPhone disrupted mobile. While any of this may potentially disrupt Google’s next-gen personal computing ambitions, it’s also true that OpenAI’s ability to build a deep moat like Apple did with the iPhone may be limited in an AI era increasingly defined by open protocols (like MCP) and easier model interchangeability. Internally, Google navigates its vast ecosystem. As Jeanine Banks, Google’s VP of Developer X, told VentureBeat serving Google’s diverse global developer community means “it’s not a one size fits all,” leading to a rich but sometimes complex array of tools – AI Studio, Vertex AI, Firebase Studio, numerous APIs. Meanwhile, Amazon is pressing from another flank: Bedrock already hosts Anthropic, Meta, Mistral and Cohere models, giving AWS customers a pragmatic, multi-model default. For enterprise decision-makers: navigating Google’s ‘world model’ future Google’s audacious bid to build the foundational intelligence for the AI age presents enterprise leaders with compelling opportunities and critical considerations: Move now or retrofit later: Falling a release cycle behind could force costly rewrites when assistant-first interfaces become default. Tap into revolutionary potential: For organizations seeking to embrace the most powerful AI, leveraging Google’s “world model” research, multimodal capabilities (like Veo 3 and Imagen 4 showcased by Woodward at I/O), and the AGI trajectory promised by Google offers a path to potentially significant innovation. Prepare for a new interaction paradigm: Success for Google’s “universal assistant” would mean a primary new interface for services and data. Enterprises should strategize for integration via APIs and agentic frameworks for context-aware delivery. Factor in the long game (and its risks): Aligning with Google’s vision is a long-term commitment. The full “world model” and AGI are potentially distant horizons. Decision-makers must balance this with immediate needs and platform complexities. Contrast with focused alternatives: Pragmatic solutions from Microsoft offer tangible enterprise productivity now. Disruptive hardware-AI from OpenAI/IO presents another distinct path. A diversified strategy, leveraging the best of each, often makes sense, especially with the increasingly open agentic web allowing for such flexibility. These complex choices and real-world AI adoption strategies will be central to discussions at VentureBeat’s Transform 2025 next month. The leading independent event brings enterprise technical decision-makers together with leaders from pioneering companies to share firsthand experiences on platform choices – Google, Microsoft, and beyond – and navigating AI deployment, all curated by the VentureBeat editorial team. With limited seating, early registration is encouraged. Google’s defining offensive: shaping the future or strategic overreach? Google’s I/O spectacle was a strong statement: Google signalled that it intends to architect and operate the foundational intelligence of the AI-driven future. Its pursuit of a “world model” and its AGI ambitions aim to redefine computing, outflank competitors, and secure its dominance. The audacity is compelling; the technological promise is immense. The big question is execution and timing. Can Google innovate and integrate its vast technologies into a cohesive, compelling experience faster than rivals solidify their positions? Can it do so while transforming search and navigating regulatory challenges? And can it do so while focused so broadly on both consumers and business – an agenda that is arguably much broader than that of its key competitors? The next few years will be pivotal. If Google delivers on its “world model” vision, it may usher in an era of personalized, ambient intelligence, effectively becoming the new operational layer for our digital lives. If not, its grand ambition could be a cautionary tale of a giant reaching for everything, only to find the future defined by others who aimed more specifically, more quickly.  Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. 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Fantasy Life i studio announces free DLC as the "slow-life RPG" sequel gets off to a flying start Will "update the world". Image credit: LEVEL5 Inc News by Matt Wales News Reporter Published on May 23, 2025 Fantasy Life i: The Girl Who Steals Time has had an unexpectedly strong start for a sequel to a fairly obscure 13-year Nintendo DS game. And developer Level 5 has now thanked fans for their enthusiasm, pledging to release free DLC in response to its "global success". The Girl Who Steals Time, for context, is a sequel to Level 5's Fantasy Life - a sort of job-focussed mash-mash of life sim and RPG - which enjoyed modest critical and commercial success when it launched for Nintendo DS back in 2012. Eurogamer's celebrated its "abundance of features" in our 6/10 review at the time, but noted the result was often "less than the sum of its parts". But in this post-Stardew Valley world - where you can't watch an indie showcase without seeing a dozen new village sims jostling for attention - the newly released Fantasy Life i: The Girl Who Steals seems to resonated with audiences. It's garnered a positive early critical reception and even surpassed 45K concurrents on its first day on Steam (that's more than Doom: The Dark Ages managed) - and Level 5 is now celebrating its launch with news of more to come. Fantasy Life i - features trailer.Watch on YouTube "Due to the game's global success and the warm support from players around the world," it wrote in a message on its website, "we have decided to release a free DLC that includes new recipes as well as expanded content under the title 'Update the World!'." Level 5 hasn't shared much in the way of specifics, but it promises "new content designed to make use of high-rarity weapons obtained from Treasure Groves and other sources", as well as "even more opportunities [for players] to showcase their gear". The studio says it's working to release the DLC "as soon as possible", and will provide further details at a later date. It sounds like there's even more on the way too; "We will continue to update and improve Fantasy Life i," it adds, "so that players can enjoy its world more comfortably and for an even longer time." Fantasy Life i: The Girl Who Steals Time is available now on Steam, Xbox Series X/S, PlayStation 5, and Switch, with a Switch 2 version coming later this year.

Avec l’IA, la course pour imaginer un appareil aussi indispensable que le smartphone L’ancien designer d’Apple, Jony Ive, vient d’intégrer OpenAI pour concevoir un appareil d’un nouveau genre mû par ChatGPT et complémentaire des téléphones. De nombreux concurrents nourrissent déjà la même ambition : offrir une incarnation physique à l’intelligence artificielle. Article réservé aux abonnés Le prototype de lunettes de Google connecté à son IA Gemini, présenté à Mountain View (Californie), le 20 mai 2025. JEFF CHIU / AP En 2007, avec l’iPhone, Apple trouve la formule ergonomique que ses concurrents cherchaient depuis des années. Presque vingt ans plus tard, la course au prochain appareil-clé, que certains patrons de la tech rêveraient aussi indispensable que nos smartphones, commence à devenir intrigante. Car un artisan majeur de l’iPhone entre en piste : le designer anglais Jony Ive, acteur majeur de la renaissance d’Apple aux côtés de Steve Jobs. Mercredi 21 mai, OpenAI a annoncé le rachat de sa start-up, io, pour la somme vertigineuse de 6,5 milliards de dollars (environ 5,7 milliards d’euros), selon Bloomberg. L’éditeur du robot conversationnel ChatGPT a intégré le designer à son encadrement et dit qu’il travaillait sur un appareil électronique pensé autour de l’intelligence artificielle (IA). Lire aussi | Article réservé à nos abonnés IA : OpenAI rachète la start-up de l’ex-designer historique d’Apple Jony Ive, pour 6,5 milliards de dollars OpenAI n’a presque rien révélé à propos de ce projet. Néanmoins, selon le Wall Street Journal, l’objet serait conçu pour rester attentif à ce qui se passe autour de lui et, contrairement à beaucoup d’appareils concurrents, il ne se porterait pas sur le corps mais plutôt dans la poche. Elaboré dans le but d’aider les consommateurs à s’affranchir des écrans, il serait complémentaire des smartphones et des ordinateurs. Sam Altman envisagerait une commercialisation à la fin de 2026 et, d’ici là, imposerait le secret à ses équipes afin d’éviter tout plagiat. Une atmosphère à laquelle Jony Ive est habitué, lui qui a dirigé l’un des laboratoires de design industriel les mieux gardés et les plus observés de la Silicon Valley, chez Apple, pendant une vingtaine d’années. Il vous reste 75.19% de cet article à lire. La suite est réservée aux abonnés.

The Multifunctional Art Center of Lhozhag County Middle School / Shenzhen Huahui DesignSave this picture!© Right Angle ImageVisual Arts Center•Shannan, China Architects: Shenzhen Huahui Design Area Area of this architecture project Area:  6009 m² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Right Angle Image Lead Architects: XIAO Cheng More SpecsLess Specs Save this picture! Text description provided by the architects. The site of our multifunctional art center project is located within Lhozhag Middle School, the county's junior high campus. Funded and built by COFCO Group, the project aims to create a composite art education space that serves as a cross-cultural exchange venue for school staff and students, local residents, international tourists, and artists visiting Tibet.Save this picture!Save this picture!The Weaving and Reconstruction of the Landscape. The site of Lhozhag County Middle School is situated with the mountains to the south and a road to the north. Beyond the road lies a martyrs' memorial square, and further north are National Highway 219 and the Lhozhag Gorge. The campus has undergone construction in different periods, resulting in a fragmented layout dominated by dispersed linear buildings. This has prevented the formation of a cohesive spatial order. Therefore, one of our key objectives is to take this opportunity to reorganize and construct a more organic relationship between the elements of the site. Additionally, the site has a noticeable elevation difference, which, if utilized properly, offers the potential to create more dynamic and engaging spaces.Save this picture!Save this picture!Given the limited area of the site, the design adopts an "embedded" strategy. The first step involves demolishing the existing staff activity room directly facing the school entrance and incorporating it into the new building volume. This move creates a continuous central axis through the campus. The new building is arranged in a compact L-shaped mass at the southern end of this axis, forming a spatial sequence that connects the main entrance of the campus, the front yard, and the small plaza at the entrance to the multifunctional art center. When viewed on a larger scale, the multifunctional center to the south, facing the mountains, and the memorial square to the north, facing the water, create an urban spatial axis within the limited depth of the southern part of Lhozhag County.Save this picture!Save this picture!Massing Configuration and Spatial Morphology. Situated at the northern foothills of a south-facing mountain slope, the project site is constrained by limited space towards the south, making optimal natural daylighting from this direction difficult to achieve. In response, the design incorporates various forms of skylights to maximize solar utilization. The main structure of the Multi-Functional Center is composed of two primary volumes—one linear and one cubic. The elongated volume is organized in a "sandwich-like" spatial configuration, consisting of two solid masses and a narrow central atrium. Flanking the double-height skylit atrium—serving as a hub for circulation, exhibitions, and gatherings—are small-scale spaces housing art classrooms and studios. The square volume contains a 700-seat auditorium, with a skylit side hall designed along its lateral facade.Save this picture!Save this picture!Save this picture!These two volumes are arranged in a near-perpendicular relationship, a deliberate response to both the site's spatial axis and the surrounding buildings. Considering the site's topography, a subtle elevation difference is established between the two forms. The roof of the auditorium becomes a highly accessible outdoor activity platform. On this rooftop, several small, south-facing structures with windows are designed to offer engaging and playful spaces for students' extracurricular activities. Between the main building's southern edge and the northward-sloping mountain base lies a narrow wedge-shaped courtyard, functioning as a "miniature gorge" between architecture and terrain—an extension of both outdoor exhibition areas and indoor activity spaces.Save this picture!Save this picture!Save this picture!Low-Tech Construction and Contextual Integration. Our intention was to express the project's sense of place through a distilled contemporary architectural language—one that remains restrained and respectful in its articulation. The surrounding context—both its unrefined natural landscape and the neighboring built forms—exudes a raw, elemental force that speaks to the site's primal character. Each day, the children's recitations echo through the arms of the mountains, mingling with the distant sound of the Lhozhag Valley stream. I envisioned the new building as a stone emerging from the mountain itself—something that sparks curiosity while also evoking a quiet familiarity. It is curious in the way it appears as a white "magic box" filled with intriguing spatial experiences; yet familiar in its subtle dialogue with the surrounding built environment, sharing a common architectural language. This "stone" is firmly grounded in the land—solid, steady, and reassuring.Save this picture!Save this picture!At the main entrance façade, we designed what could be described as a "Mondrian frame" for Lhozhag. Through a composition of solids and voids, light and reflection, the façade glass is broken down into mirrored panels of varying sizes and hues. These reflections—of the sky, the snow-capped peaks, the building, and the children themselves—create a sense of "familiar strangeness", subtly provoking curiosity and encouraging exploration in their daily routines.Construction methods employ conventional, locally executable techniques, prioritizing recyclable regional materials. Skylight configurations enhance natural daylighting and thermal mass performance, significantly reducing heating energy use in winter.Save this picture!Save this picture!The Canyon of Light. The "Light Canyon Atrium" serves as the spiritual and spatial core of the entire building. It is both an abstract interpretation of Lhozhag's dramatic natural terrain and a contemporary reimagining of the essential qualities of traditional Tibetan architecture. (Diagram: Spatial Archetype) Inspired by the idea that "sunlight breathes life into the canyon, where daily routines unfold", the design celebrates this raw, vibrant energy through spatial scale, light quality, and chromatic composition.Save this picture!Save this picture!Upon entering from the foyer, one ascends a multipurpose stepped platform to the second floor and then turns—only to be met with a breathtaking atrium measuring 60 meters in length, 7 meters in width, and 14 meters in height. This vertical void captures abundant daylight from above, extending across the building to link diverse functional zones. It gathers the distant landscape into its frame, forging a dialogue between interior and exterior, architecture and nature. The experience is ever-changing—one may pass through, pause, encounter, gaze into or out of it—each movement revealing new spatial surprises. Witnessing children in colorful attire moving through the longitudinally unfolding space, where the indoor sky seamlessly merges with the real one beyond, and distant mountains appear to embrace the end of the axis, the envisioned scenarios have materialized as intended.Save this picture!Save this picture!Here, light is "combed" through a kaleidoscopic filter—a gesture that feels uniquely appropriate to Tibet's vivid natural palette. White walls act as canvases for sunlight's seasonal performances, while solid-colored interior corridors peek through varying-sized apertures, adding layers of visual liveliness. Ultimately, the "Canyon of Light" became the guiding concept of the entire project. Through a dialogue between architecture and environment, and a fusion of tradition and modernity, the project creates a space that is both functional and poetic—an iconic centerpiece for Lhozhag County Middle School and a cultural threshold for exchange between campus and community. Yet above all, we hope the true owners of the space are the students themselves. On holidays, when children in traditional Tibetan dress gather here to play and laugh, the scene feels so naturally harmonious that it evokes a beautiful illusion: as if this building has always been here， growing with the children, quietly witnessing the passage of time.Save this picture!The "Roots" and "Wings" of Culture. The 2017 Pritzker Prize-winning Spanish firm RCR Arquitectes articulated a profound view on locality: "We believe that harmony with nature means that architecture must deeply understand its surrounding environment. While we embrace globalization, we hope our architecture remains firmly rooted in its place. We often say that architecture needs both 'roots' and 'wings.' The three of us each have our own origin, something intrinsic that resides within us. Even as we move from one place to another, this origin remains unchanged—it is the product of a place, a climate, and a culture. The world is becoming increasingly interconnected, but we believe that understanding and respecting these origins is essential. They enrich the shared creative force that expresses who we are, and that is deeply important."Save this picture!In Lhozhag, the younger generation navigates a cultural tug-of-war: between their deep Tibetan heritage and the currents of modernity. Like the mirrored facades that reflect distant snow-capped mountains, village rooftops, ancient monasteries, and colorful prayer flags by day—with the children's own figures merging into these scenes—the architecture becomes a metaphor for cultural identity. "Who are you?" "Where do your roots lie?" When they see themselves in these reflections, they encounter both their homeland and the coexistence of their culture with the wider world. Through architectural language, the project aims to show that they need not choose between tradition and modernity but can balance both—rooted in their cultural soil while courageously reaching outward. May the light of the canyon forever illuminate the path in these children's hearts.Save this picture! Project gallerySee allShow less Project locationAddress:Shannan, ChinaLocation to be used only as a reference. It could indicate city/country but not exact address.About this office MaterialsGlassConcreteMaterials and TagsGlass

The island of Bolga, just visible off the starboard bow during the trial voyage onboard ‘Skårungen’ in May 2022, is an important traditional landmark that may have featured in Viking Age seafaring itineraries from the Arctic towards southern Scandinavia and mainland Europe. Credit: Journal of Archeological Method and Theory / Jarrett Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. Greer Jarrett has spent the past three years sailing Scandinavia’s waterways in historically accurate Viking ships. The voyages aren’t part of some reenactment fantasy or preparation for an upcoming film role. Instead, the archeologist wants to show that exploration based on historical knowledge can help us better understand how an ancient culture lived, explored, and interacted with the world around them. Last year, Jarrett contributed to research suggesting the Vikings participated in more complex trading routes with Indigenous Arctic tribes than previously believed. After his latest excursions along the eastern coasts of Norway, Jarrett now says his team believes that rather than solely relying on concentrated trading outposts, Norse sailors frequently utilized a decentralized network of ports on the region’s numerous islands and peninsulas. Their argument is detailed in a study published earlier this month in the Journal of Archeological Method and Theory. Over 3,100 miles at sea Since 2022, Jarrett and his intrepid crews have navigated multiple voyages aboard an open, square-rigged clinker boat built in the style of those used during the Viking Age (roughly 800–1050 CE). Their first trip traveled to and from the Arctic Circle from Trondheim, a common route for sailors after the Norwegian city’s founding in 997 CE. The researchers have since sailed more than 3,100 miles along historic Viking trade routes, as well as into the Baltic Sea and the Kattegat waterway separating Sweden from Denmark. These expeditions, coupled with interdisciplinary analysis and evidence, has provided substantial evidence that the original Viking travelers journeyed further from land than historians long theorized. However, these trips weren’t undertaken with the aid of a compass, sextant, or even a map. Instead, the Norse relied on mental maps informed by cultural myths tied to coastal landmarks. “Examples include Viking stories about the islands Torghatten, Hestmona and Skrova off the Norwegian coast,” Jarrett explained in a Lund University profile. “The stories serve to remind sailors of the dangers surrounding these places, or of their importance as navigation marks.”  These tales were passed down through generations to help seafarers, or what Jarrett refers to as a “Maritime Cultural Mindscape.” He also conducted interviews with present-day fishermen and sailors about various routes known to have been utilized in the 19th and early 20th century, before motorized boats were common. The Norðvegr, with the coastal regions mentioned in the text, the tracks of the project’s two trial voyages (black and white dashed lines), and the traditional sailing corridor along the west coast of Norway (blue shaded zone), known in Old Norse as leið. Credit: Journal of Archeological Method and Theory Coastal trips After previously demonstrating that Viking vessels can handle open oceanic waters even in tough conditions, Jarrett was determined to explore their capabilities close to land and among the fjords. He and his team sailed two trips along Norway’s western coast towards the Lofoten Islands, an archipelago in the Arctic Circle. While their rigging and ship were modeled after ancient technology, researchers also utilized digital geospatial reconstructions of the region to envision the surrounding landscapes as they would have existed at the time of the Vikings. According to Jarrett, the daily challenges are “just as great, but not as obvious” as ocean sailing. These included underwater currents and katabatic winds—the wind generated as a mountain’s dense, cool, high-altitude air flows into a lower elevation. Weather proved an additional challenge, particularly the cold temperatures in the Lofoten Islands. “Our hands really suffered. At that point I realized just how crucial it is to have a good crew,” Jarrett said. Extensive socio-cultural knowledge also didn’t keep the voyages free from danger, either. At one point, the boat’s mainsail yard snapped, forcing Jarrett and his crew to improvise a solution using only Viking-era materials. “We had to lash two oars together to hold the sail, and hope that it would hold,” he said. After returning home, Jarrett and colleagues combined their data with historical documentation and cultural knowledge. It was clear to them that the numerous environmental and oceanographic variables made coastal journeys difficult in their own special set of ways. “With this type of boat, it has to be easy to get in and out of the harbor in all possible wind conditions. There must be several routes in and out,” he said. “Shallow bays are not an issue because of the shallow draft of the boats. Getting far up the narrow fjords, however, is tricky. They are difficult to sail upwind with a square rig, and the boats are sensitive to katabatic winds.” Continuities in boatbuilding traditions from the Viking Age are evident in the shape and rig of this fyring, a smaller type of Åfjord boat similar to the vessels associated with non-elite Viking Age farmsteads. Credit: Tora Heide Viking havens His resulting study argues it is highly unlikely that Vikings only docked at well-established, populated towns and harbors. Instead, sailors probably relied on a decentralized network of smaller port hubs located farther out to sea that Jarrett refers to as “havens.” “A lot of the time, we only know about the starting and ending points of the trade that took place during the Viking Age. Major ports, such as Bergen and Trondheim in Norway, Ribe in Denmark, and Dublin in Ireland,” said Jarrett. “The thing I am interested in is what happened on the journeys between these major trading centers.” Jarrett has now identified four potential sites along the Norwegian coast that could have served as Viking havens. He hopes that archeological teams may soon investigate these areas to see what they might unearth. Evidence could include jetty and mooring post remnants, ballast stones, boatbuilding pits, temporary shelters, and artifacts indicating local commerce. At the same time, he acknowledges that these suggestions are starting points, not necessarily final destinations. “Due to the nature of the evidence, the methodology presented here can uncover potentials, but not realities,” Jarrett and the study’s co-authors write. “The list of possible Viking Age havens… is intended as a working document, which can shape and be shaped by future archaeological surveys and excavations.”

Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. Drones can be a divisive subject, but they do have their uses (beyond causing mass panic). Professional unpiloted aerial vehicles (UAVs) are already instrumental in conservation efforts and engineering projects, but even personal use drones do more than recording cool aerial shots of your vacation. In the case of a recent emergency in Florida, one man’s drone helped save a teenager’s life. Earlier this month, amateur shark fisherman Andrew Smith was convinced by a friend to come with them to Pensacola Beach after getting off from work. But within 10 minutes of arriving, the scene went from a casual afternoon by the water to a full-fledged emergency. “I was sitting there and this girl came running asking if anybody could swim,” Smith told the local news outlet WSVN. “I said ‘no I absolutely could not swim’, and she was running and screaming and nobody could swim.” Bystanders soon learned that the teen’s friend had been swept out to sea by a rip current. Rip currents are powerful, localized offshore currents created when wind and breaking waves push surface water towards land. The resultant slight water level rise near the shore causes excess water to flow back into the sea via the path of least resistance. Slightly deeper areas in a sand bar or reef can exacerbate the force, dragging objects or people out through the gap.Rip currents are often confused with rip tides or undertows, none of which actually pull you downward. Instead, they are strongest near the water’s surface and carry you beyond the line of breaking waves. NOAA estimates an average of 76 people drowned from rip currents per year off US shores between 2015 and 2024. With the situation growing more serious by the moment, Smith quickly came up with an idea. He attached a life preserver to the drone he had brought with him, and began piloting it out towards the drowning girl. Strong winds made his first rescue attempt difficult. “It was a terrible miss,” he recounted. “I released it too early, it was really windy. It wasn’t close at all.” The girl had been struggling against the currents for around five minutes by that point. Unfortunately, Smith only had a single flotation device left nearby to try again. “That was it, that was the last opportunity we were gonna have.” After adjusting for the wind, he gave it another shot. This time, the drop was much more accurate—the teenager was able to grab the life preserver and hang on for another few minutes until emergency responders arrived. “If it wasn’t for that second drop, she wouldn’t have made it. The EMS said she wouldn’t have made it,” said Smith. After receiving a check-up, EMS confirmed the girl sustained no serious injuries and was able to go home—but not before her dad spoke with Smith. “He talked to me for like five minutes, called me his guardian angel and thanked me and stuff. It was pretty crazy,” he said. For anyone who finds themselves stuck in a rip current without the prospect of a drone-assisted rescue, the best bet is to resist panicking or fighting against the waters. Instead, experts recommend attempting to swim across the current—generally parallel to the shore. Rip currents usually aren’t very wide, so it’s often possible to paddle out of its pull this way. Another option may be to allow the current to pull you past the breaking waves. Rip currents dissipate from there, and you can then either begin swimming to shore or tread while waiting for a lifeguard or EMS responder to arrive.