A whale attacks a boat in Frank Goodrich's 1858 novel "Man upon the sea: or, a history of maritime adventure, exploration, and discovery, from the earliest ages to the present time". Public domain via Wikimedia Commons November 20, 1820, was a bright morning in the heart of the Pacific Ocean, 1,500 nautical miles west of the Galpagos Islands. For the crew of the Essex, it was a day flecked with hope: The lookouts atop the whale-shipinspire Herman Melvilles great American novel, Moby-Dick.The Essex began its final journey in August 1819, departing its home island of Nantucket, Massachusetts, for the sperm-whale-rich Pacific Ocean. The 238-ton ship, built in 1799, was around 100 tons smaller and two decades older than the sleekest ships coming out of Nantucket. But based on the financial success of its previous voyages in search of sperm oila high-quality lighting oil derived from the spermaceti organ in the head of the sperm whaleit was considered a desirable, even lucky, ship by local whalers.But the Essexs luck didnt last. From the outset of its 1819 voyage, its crew faced difficultiesor, to a superstitious 19th-century sailor, bad omens. On the second day at sea, a squall knocked the ship completely on its side. The whole ships crew were, for a short time, thrown into the utmost consternation and confusion, first mate Owen Chase wrote in his account of the voyage, Narrative of the Most Extraordinary and Distressing Shipwreck of the Whale-Ship Essex. They lost two whaling boatssmaller vessels used to approach and kill whalesbut kept moving ahead. A sketch of a whale striking theEssexby sailor Thomas Nickerson, a former cabin boy on theEssex. Thomas Nickerson via Public domain via Wikimedia Commons The ships success in whale hunting was just as mercurial, with dry spells followed by successful sprees. But after rounding Cape Horn and quietly tracing the Chilean coast to little avail, its sailors found overwhelming success off of Peru in the new year, filling 450 barrels with oil from 11 whales in just two months.The pace exhausted the crew, but when a lookout spotted a shoal of sperm whales on the morning of November 20, the sailors lowered and manned the whale boats in pursuit nonetheless. Chases team harpooned a whale early on, but it thrashed its tail against the boat, and the men retreated to the Essex.There, Chase observed a very large spermaceti whale rapidly approachingand then ramming intothe ship. After an appalling and tremendous jar, the Essex brought up as suddenly and violently as if she had struck a rock, and trembled for a few seconds like a leaf.The whale convulsed on the surface of the waves for a moment before charging again. It appeared with tenfold fury and vengeance, Chase wrote. It smashed its head into the bow, completely rupturing the ships hull before swimming away. An image of a whale attacking the Essexin Mariners Chronicle, New Haven, 1834. Public Domain via Nantucket Historical AssociationThe crew made for the remaining whale boats, and together with those who had not yet returned to the Essex, spent the next few days salvaging supplies from the wreckage, rigging up new sails on the small craft and debating where to sail for salvation. They ultimately decided to head 2,000 nautical miles to the coast of South America, avoiding nearer islands.All the sufferings of these miserable men might, in all human probability, have been avoided had they immediately after leaving the wreck, steered straight for Tahiti, from which they were not very distant at the time, a young Melville jotted in his copy of Chases Narrative, which later inspired him to tell a tragic whaling tale of his own. But they dreaded cannibals.Ironically and tragically, the crew eventually succumbed to cannibalism themselves over the months that followed. As they drifted at sea and landed on deserted islands, members of the voyage were separated from one another, dying of starvation, dehydration and disease. At first, the sailors only ate comrades who had died naturally. Then, on February 1, 1821, the survivors cast lots to determine who would be sacrificed to feed the others. The unlucky victim submitted to his executions with great fortitude and resignation, Chase later wrote.Later that month, a British vessel picked up the stragglers in Chases group, who were so weak they had to be lifted onto the ship. The captains boat was rescued in mid-March117 days after the sinking. Of the 20 or 21 whalers who left Nantucket on the Essex, only eight survived.Upon Chases return to his family, who had given me up for lost, his unexpected appearance was welcomed with the most grateful obligations and acknowledgements to a beneficent Creator, who had guided me through darkness, trouble and death, once more to the bosom of my country and friends. Readers have reason for gratitude, too: Though Melvilles Essex-inspired novel was a flop upon publication, it has since become part of the canon of American literature. Get the latest stories in your inbox every weekday.

The 3D bioprinter at the Collins BioMicrosystems Laboratory at the University of Melbourne. University of MelbourneScientists have been fantasizing about the potential of precise 3D bioprinting for years. Just imagine, for example, if doctors could trial therapies on an exact replica of a kidney disease patients kidney until they found the perfect solution for that individualit would have huge implications for the medical field, especially in drug testing. But modern technology has yet to achieve this.Now, however, biomedical engineers in Australia have invented an innovative high-speed bioprinter that brings us one step closer to that ability, and it uses surprising elements: sound, light and bubbles. Their work was presented in a study published in the journal Nature late last month.Currently, scientists have only limited ways to create tissue for testing pharmaceutical therapies, such as using lab-grown samples or by relying on traditional 3D bioprinting, per Popular Sciences Andrew Paul. However, cultivating organs in a lab is complex and expensiveand printing them is currently slow and prone to errors, such as positioning cells incorrectly.Incorrect cell positioning is a big reason most 3D bioprinters fail to produce structures that accurately represent human tissue, David Collins, head of the Collins BioMicrosystems Laboratory at the University of Melbourne and a co-author of the study, says in a statement.But with our new approach, Collins and two other researchers write in an article for Pursuit, not only can we position cells with precision, we can also fabricate at a scale of single cells.So, how does it work? The new printer projects light onto a resin bubble to harden it into the desired shape, while a speaker emits sound waves that make the bubble vibrate. These waves help position the individual cells and dramatically speed up the process. In fact, this innovative printing is 350 times faster than traditional methods, per the statement.What were doing is we are shining light in a 2D pattern acrossand this is kind of what is the distinguishing feature for this technologywe are printing across a bubble, Collins explains to ABC Melbournes Raf Epstein. Were continuously changing those projections that are curing the individual layers as we go through that, he adds. The fundamental principle is that we can shine light onto a material, and we can create a solid.Because the tissue floats in resin as it is printed, the bioprinter can also create really delicate structures using really soft materials, softer than anything currently being used, Collins tells New Scientists James Woodford. Being able to accurately reproduce the consistency of human tissue is fundamental. He adds that they can even print analogs of different parts of the body, such as bone, tendons and skin.Additionally, the floating tissue doesnt need to be printed onto a solid platform, in contrast to traditional methods. Instead, it can be printed directly into a Petri dish, vial or lab plate. This increases the cells survival rate by avoiding the need to physically handle the material, which in traditional bioprinters sometimes contaminates and harms the cells.For now, the team has only printed tiny samples with a diameter of 3 centimeters, a length of 7 centimeters and a resolution of 15 micrometers, per New Scientist. And the team writes in Pursuit that completely 3D-printing organs is still a bit futuristic.But they have a bold vision for that future. This technology, researchers say, could be used to replicate human organs and tissues for more targeted and ethical drug trials, since it would eliminate the need for animal testing. Next, the team plans to work with the Peter MacCallum Cancer Center in Melbourne to further their research.This means that the current one-size-fits-all approach to disease treatment could soon become obsolete, they write in Pursuit. The new printing innovation can help pave the way for more effective, patient-specific therapies in the fight against cancer and other diseases.Get the latest stories in your inbox every weekday.Filed Under: 3D Printing, Australia, Biology, Cancer, Engineering, Health, Innovations, Medicine, New Research, Organs, Technology, Treatment

Quicksave Interactive wants to make the web interactive with WebGL technology by launching QSApp, a tool to make the web more accessible.Read More

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreMultidomain attacks are on the verge of becoming a digital epidemic as nation-states and well-funded cybercrime attack groups look to exploit wide gaps in digital estates defenses. Enterprises are having to contend with widening and often unknown gaps between enterprise assets, apps, systems, data, identities and endpoints.The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers. Microsofts Security Exposure Management Platform (MSEM) at Ignite 2024 reflects how quickly the arms race is maturing and why its containment requires more advanced platforms.In addition to Microsofts MSEM, other key players in the graph database arms race for combating multidomain threats include CrowdStrike with its Threat Graph, Ciscos SecureX, SentinelOnes Purple AI, Palo Alto Networks Cortex XDR and Trend Micros Vision One, alongside providers like Neo4j, TigerGraph and Amazon Neptune who supply foundational graph database technology.Three years ago, we were seeing 567 password-related attacks per second. Today, that number has skyrocketed to 7,000 per second. This represents a massive escalation in the scale, speed and sophistication of modern cyber threats, underscoring the urgency for proactive and unified security strategies, Vasu Sakkal, Microsofts corporate vice president of security, compliance, identity, management and privacy, told VentureBeat during a recent interview.Microsoft goes all-in on their security vision at Ignite 2024With every organization experiencing more multidomain intrusion attempts and suffering from undiscovered breaches, Microsoft is doubling down on security, pivoting its strategy to graph-based defense in MSEM. Sakkal told VentureBeat, The sophistication, scale, and speed of modern attacks require a generational shift in security. Graph databases and generative AI offer defenders the tools to unify fragmented insights into actionable intelligence.Cristian Rodriguez, CrowdStrikes Americas Field CTO, echoed the importance of graph technology in a recent interview with VentureBeat. Graph databases allow us to map adversary behavior across domains, identifying the subtle connections and patterns attackers exploit. By visualizing these relationships, defenders gain the contextual insight needed to anticipate and disrupt complex, cross-domain attack strategies, Rodriguez said.Key announcements from Ignite 2024 include:Microsoft Security Exposure Management Platform (MSEM). At the core of Microsofts strategy, MSEM leverages graph technology to dynamically map relationships across digital estates, including devices, identities and data. MSEM support for graph databases enables security teams to identify high-risk attack paths and prioritize proactive remediation efforts.Zero Day Quest. Microsoft is offering $4M in rewards to uncover vulnerabilities in AI and cloud platforms. This initiative aims to bring together researchers, engineers and AI red teams to address critical risks preemptively.Windows Resiliency Initiative. Focusing on zero trust principles, this initiative looks to enhance system reliability and recovery by securing credentials, implementing Zero Trust DNS protocols and fortifying Windows 11 against emerging threats.Security Copilot Enhancements. Microsoft claims that Security Copilots generative AI capabilities enhance SOC operations by automating threat detection, streamlining incident triage and reducing mean time to resolution by 30%. Integrated with Entra, Intune, Purview and Defender, these updates provide actionable insights, helping security teams address threats with greater efficiency and accuracy.Updates in Microsoft Purview. Purviews advanced Data Security Posture Management (DSPM) tools tackle generative AI risks by discovering, protecting and governing sensitive data in real-time. Features include detecting prompt injections, mitigating data misuse and preventing oversharing in AI apps. The tool also strengthens compliance with AI governance standards, aligning enterprise security with evolving regulations.Why now? The role of graph databases in cybersecurityJohn Lambert, corporate vice president for Microsoft Security Research, underscored the critical importance of graph-based thinking in cybersecurity, explaining to VentureBeat, Defenders think in lists, cyberattackers think in graphs. As long as this is true, attackers win.He added that Microsofts approach to exposure management involves creating a comprehensive graph of the digital estate, overlaying vulnerabilities, threat intelligence and attack paths. Its about giving defenders a complete map of their environment, allowing them to prioritize the most critical risks while understanding the potential blast radius of any compromise, Lambert added.Graph databases are gathering momentum as an architectural strategy for cybersecurity platforms. They excel at visualizing and analyzing interconnected data, which is critical for identifying attack paths in real time.Key benefits of graph databases include:Relational Context: Map relationships between assets and vulnerabilities.Fast Querying: Traverse billions of nodes in milliseconds.Threat Detection: Identify high-risk attack paths, reducing false positives.Knowledge Discovery: Use graph AI for insights into interconnected risks.Behavioral Analysis: Graphs detect subtle attack patterns across domains.Scalability: Integrate new data points seamlessly into existing threat models.Multidimensional Analysis:The Gartner heat map underscores how graph databases excel in cybersecurity use cases like anomaly detection, monitoring and decision-making, positioning them as essential tools in modern defense strategies.Emerging Tech: Optimize Threat Detection With Knowledge Graph Databases, May 2024. Source: GartnerWhat makes Microsofts MSEM platform uniqueThe Microsoft Security Exposure Management Platform (MSEM) differentiates itself from other graph database-driven cybersecurity platforms through its real-time visibility and risk management, which helps security operations center teams stay on top of risks, threats, incidents and breaches.Sakkal told VentureBeat, MSEM bridges the gap between detection and action, empowering defenders to anticipate and mitigate threats effectively. The platform exemplifies Microsofts vision of a unified, graph-driven security approach, offering organizations the tools to stay ahead of modern threats with precision and speed.Built on graph-powered insights, MSEM integrates three core capabilities needed to battle back against multi-domain attacks and fragmented security data. They include:Attack Surface Management. MSEM is designed to provide a dynamic view of an organizations digital estate, enabling the identification of assets, interdependencies and vulnerabilities. Features like automated discovery of IoT/OT devices and unprotected endpoints ensure visibility while prioritizing high-risk areas. The device inventory dashboard categorizes assets by criticality, helping security teams focus on the most urgent threats with precision.Source: MicrosoftAttack Path Analysis. MSEM uses graph databases to map attack paths from an adversarys perspective, pinpointing critical routes they might exploit. Enhanced with AI-driven graph modeling, it identifies high-risk pathways across hybrid environments, including on-premises, cloud and IoT systems.Unified Exposure Insights. Microsoft also designed MSEM to translate technical data into actionable intelligence for both security professionals and business leader personas. It supports ransomware protection, SaaS security, and IoT risk management, ensuring targeted, insightful data is provided to security analysts.Microsoft also announced the following MSEM enhancements at Ignite 2024:Third-Party Integrations: MSEM connects with Rapid7, Tenable and Qualys, broadening its visibility and making it a powerful tool for hybrid environments.AI-Powered Graph Modeling: Detects hidden vulnerabilities and performs advanced threat path analysis for proactive risk reduction.Historical Trends and Metrics: This tool tracks shifts in exposure over time, helping teams adapt to evolving threats confidently.Graph databases growing role in cybersecurityGraph databases have proven invaluable in tracking and defeating multi-domain attacks. They excel at visualizing and analyzing interconnected data in real time, enabling faster and more accurate threat detection, attack path analysis and risk prioritization. Its no surprise that graph database technology dominates the roadmaps of leading cybersecurity platform providers.Ciscos SecureX Threat Response is one example. The Cisco platform extends the utility of graph databases into network-centric environments, connecting data across endpoints, IoT devices and hybrid networks. Key strengths include an integrated incident response thats integrated across the Cisco suite of apps and tools and network-centric visibility.What we have to do is make sure that we use AI natively for defenses because you cannot go out and fight those AI weaponization attacks from adversaries at a human scale. You have to do it at machine scale, Jeetu Patel, Ciscos executive vice president and CPO, told VentureBeat in an interview earlier this year.CrowdStrikes Threat Graph was introduced at their annual customer event, Fal.Con in 2022 and is often cited as an example of the power of graph databases in endpoint security. Processing over 2.5 trillion daily events, Threat Graph excels in detecting weak signals and mapping adversary behavior. Rodriguez emphasized to VentureBeat, Our graph capabilities ensure precision by focusing on endpoint telemetry, providing defenders with actionable insights faster than ever. CrowdStrikes key differentiators include endpoint precision in tracking lateral movements and identifying anomalous behaviors. Threat Graph also supports behavioral analysis used on AI to uncover adversary techniques across workloads.Palo Alto Networks (Cortex XDR), SentinelOne (Singularity) and Trend Micro are among the notable players leveraging graph databases to enhance their threat detection and real-time anomaly analysis capabilities. Gartner predicted in the recent research note Emerging Tech: Optimize Threat Detection With Knowledge Graph Databases that their widespread adoption will continue due to their ability to support AI-driven insights and reduce noise in security operations.Graph databases will transform enterprise defenseMicrosofts Lambert encapsulated the industrys trajectory by stating, May the best attack graph win. Graph databases are transforming how defenders think about interconnected risks, underscoring their pivotal role in modern cybersecurity strategies.Multi-domain attacks target the weaknesses between and within complex digital estates. Finding gaps in identity management is an area nation-state attackers concentrate on and mine data to access the core enterprise systems of a company. Microsoft joins Cisco, CrowdStrike, Palo Alto Networks, SentinelOne and Trend Micro, enabling and continuing to improve graph database technology to identify and act on threats before a breach happens.VB DailyStay in the know! Get the latest news in your inbox dailyBy subscribing, you agree to VentureBeat's Terms of Service.Thanks for subscribing. Check out more VB newsletters here.An error occured.

Merlin Entertainments to invest over $110m in Minecraft-themed attractionsDeal will see themed rides and stores to open in existing theme parks and city centres in the UK and USImage credit: Mojang/Merlin Entertainments News by Sophie McEvoy Staff Writer Published on Nov. 20, 2024 Microsoft has entered a deal with UK-based theme park operator Merlin Entertainments to open Minecraft-themed attractions, hotel rooms, and stores in the UK and US.As reported by The Guardian, Merlin will invest more than $110 million in the first two attractions, which are expected to open in the UK and US in 2026 and 2027.These attractions will either be in existing theme parks or city centres. Once opened, Microsoft and Merlin plan to expand the partnership globally."We are everywhere digitally, Merlin is everywhere physically," said Microsoft's vice president of franchise development Kayleen Walters. "It's about how do we expand Minecraft beyond the game."Mojang and Microsoft are experts on Minecraft and the brand, Merli are the experts on location-based experiences; it's a shared vision."Merlin Entertainments chief executive Scott O'Neil added: "When we look for partners we look for the right people, scale and community [...] We have partnered with the number one toy brand, Lego, the number one toddler brand, Peppa Pig, and now in Minecraft the biggest video game."Bringing Minecraft to life is going to be one of the greatest joys; this is just the beginning. Our aspirations are very big."Minecraft is not the first game franchise to have attractions in existing theme parks. Nintendo partnered with Universal in 2015, opening Super Nintendo World at Universal Studios Japan in 2021.In 2016, Universal announced that Nintendo-themed areas would be coming to US-based parks. Super Nintendo World opened at Universal Studios Hollywood in 2023 , with another iteration to open within the new Epic Universal theme park in Orlando next year.

Starfield reaches 15m players | News-in-briefBethesda's space exploration RPG launched on September 6, 2023 News by Sophie McEvoy Staff Writer Published on Nov. 20, 2024 This is a News-in-brief article, our short format linking to an official source for more information. Read more about this story by following the link below:Starfield reaches 15m players

Strava recently informed its users and partners that new terms for its API restrict the data that third-party apps can show, refrain from replicating Stravas look, and place a ban on using data for any model training related to artificial intelligence, machine learning or similar applications. The policy is effective as of November 11th, even though Stravas own post about the change is dated November 15th.Effective November 11, the updated API agreement introduces three key changes that provide Strava users with greater control, security, and a consistent experience:Stronger Privacy Standards: Third-party apps may now only display a users Strava activity data to that specific user. Users will continue to have access to their personal Strava data across apps connected to our platform, though there may be differences in how this data appears.Data Use Limitations: Our terms now explicitly prohibit third parties from using any data obtained via Stravas API in artificial intelligence models or similar applications.Protecting the Strava Experience: Additional terms have been added to protect Stravas unique look and feel and functionality, helping users easily distinguish between Strava and third-party platforms.In a statement sent to The Verge, Strava VP of Communications and Social Impact Brian Bell said, We anticipate that these changes will affect only a small fraction (less than .1 percent) of the applications on the Strava platformthe overwhelming majority of existing use cases are still allowed, including coaching platforms focused on providing feedback to users and tools that help users understand their data and performance. You can read the rest of Stravas updated statement below.Ray Maker, aka DCRainmaker, points out that Strava has widely served as a middleman to get data collected by wearables to other apps and services. According to Maker, every single partner Ive talked to over the last 24 hours has been completely broadsided by this change, with their only notification arriving as an email on Friday giving a 30-day notice to make any adjustments. Now, services like VeloViewer and Final Surge may need to find another way to provide the features Stravas users explicitly ask them to provide, like automatically updated leaderboards, personalized workouts, and year in review recaps, even as Strava is beta testing its AI-generated Athlete Intelligence summaries that Maker says tell me something vaguely positive but usually wrong.TrainerRoad is one app that promises to guide users through Effective, Science-Backed Workouts, based on access to data from Strava, and the team has already commented on the change. In a post on its forum, Nate Pearson writes, This was crazy news to us, too, but noted that Garmin users could use Garmin Connect instead and that the team had already been working on integrating other platforms like Zwift and Wahoo.Brian Bell, Strava VP of Communications and Social Impact:We wanted to provide some additional context around the changes to our API Agreement and the impact for our users and developers. We currently anticipate these changes will impact less than .1% of applications and proactively notified the majority of those affected last week.Enhanced Privacy and User ControlPrivacy and user control are at the forefront of our platform. As a result, we are committed to evolving our API practices as regulatory requirements and user expectations shift. This includesthe decision to limit the ability of a users data to be displayed by third-party apps in ways the user may not expect. Specifically, we want to thoughtfully address situations where users connect to a third-party app and are unaware that their data is being surfaced not just for their own use and visibility, but also to other users (for example, in a public feed or heatmap). The latest API changes address this scenario and provide a more consistent framework for Strava user data.Training AI ModelsWe believe in the potential of AI to transform the athlete experiencewhether its delivering more personalized insights to help you reach your goals, generating route or training recommendations, or countless other possibilities. But innovation in this space must be handled responsibly and with a firm focus on user control. As part of our generative AI features, we are committed to implementing thoughtful solutions that prioritize user control and the ability to opt out.Third-party developers may not take such a deliberate approach to training AI models and as a result, we believe the best decision for the platform and for users is to prohibit the use of data extracted from Strava users in this manner. Our previous terms already disallowed the use of Strava user data in model training and development but weve made this more explicit in light of the increasing activity in this space.No Impact to Most DevelopersWe recognize that our platform thrives because of the creativity and dedication of third-party developers who build tools to complement and extend Stravas capabilities. We are steadfast in our commitment to fostering this ecosystem. We anticipate that these changes will affect only a small fraction (less than .1%) of the applications on the Strava platformthe overwhelming majority of existing use cases are still allowed, including coaching platforms focused on providing feedback to users and tools that help users understand their data and performance.There are plenty of posts on social media complaining about the sudden shift, but one place where dissent wont be tolerated is Stravas own forums. The company says, ...posts requesting or attempting to have Strava revert business decisions will not be permitted.Update, November 19th: Added statement from Strava.

Niantic has announced that its building a new Large Geospatial Model (LGM) that combines millions of scans taken from the smartphones of players of Pokmon Go and other Niantic products. This AI model could allow computers and robots to understand and interact with the world in new ways, the company said in a blog post spotted by Garbage Day.The LGMs spatial intelligence is built on the neural networks developed as part of Niantics Visual Positioning System. The blog post explains that Over the past five years, Niantic has focused on building our Visual Positioning System (VPS), which uses a single image from a phone to determine its position and orientation using a 3D map built from people scanning interesting locations in our games and Scaniverse, and This data is unique because it is taken from a pedestrian perspective and includes places inaccessible to cars.Niantic Chief Scientist Victor Prisacariu was more explicit in a 2022 Q&A, saying, Using the data our users upload when playing games like Ingress and Pokmon Go, we built high-fidelity 3D maps of the world, which include both 3D geometry (or the shape of things) and semantic understanding (what stuff in the map is, such as the ground, sky, trees, etc).As 404 Media points out, nobody who downloaded Pokmon Go in 2016 could have predicted their data would one day fuel this type of AI product.

Large-sample hydrology is a critical field that addresses pressing global challenges, such as climate change, flood prediction, and water resource management. By leveraging vast datasets of hydrological and meteorological information across diverse regions, researchers develop models to predict water-related phenomena. This enables the creation of effective tools to mitigate risks and improve decision-making in real-world scenarios. These advancements are instrumental in safeguarding communities and ecosystems from water-related challenges.A significant problem in hydrological research is the limited availability of datasets that support real-time forecasting and operational benchmarking. Traditional datasets like ERA5-Land, while comprehensive, are restricted to historical data, limiting their application in real-time forecasting. This restriction poses challenges for hydrological model development, as researchers cannot adequately test model performance under live conditions or evaluate how uncertainty in forecasts propagates through hydrological systems. These gaps hinder advancements in predictive accuracy and the reliability of water management systems.Existing hydrological tools, such as CAMELS and ERA5-Land, provide valuable model development and evaluation insights. CAMELS datasets, which cover regions like the United States, Australia, and Europe, standardize data for various catchments and support regional hydrological studies. ERA5-Land, with its global coverage and high-quality surface variables, is widely used in hydrology. However, these datasets rely on historical observations and need more integration with real-time forecast data. This limitation prevents researchers from fully addressing the dynamic nature of water-related phenomena and responding effectively to real-time scenarios.Researchers from Google Research introduced the Caravan MultiMet extension, significantly enhancing the existing Caravan dataset. This extension integrates six new meteorological products, including three nowcastsCPC, IMERG v07 Early, and CHIRPSand three weather forecastsECMWF IFS HRES, GraphCast, and CHIRPS-GEFS. These additions enable comprehensive analyses of hydrological models in real-time contexts. By incorporating weather forecast data, the extension bridges the divide between hindcasting and operational forecasting, establishing Caravan as the first large-sample hydrology dataset to include such diverse forecast data.The Caravan MultiMet extension includes meteorological data aggregated at daily resolutions for over 22,000 gauges across 48 countries. The integration of both nowcast and forecast products ensures compatibility across datasets. For example, ERA5-Land data in the extension was recalculated in UTC zones to align with other products, simplifying comparisons. Forecast data, such as CHIRPS-GEFS, offers daily lead times ranging from one to 16 days, while GraphCast, developed by DeepMind, employs graph neural networks to produce global weather forecasts with a 10-day lead time. The extensions zarr file format enhances usability, allowing researchers to efficiently query specific variables, basins, and periods without processing the entire dataset. Furthermore, including diverse spatial resolutions, such as CHIRPSs high resolution of 0.05, further enhances the datasets robustness for localized studies.Including forecast data in Caravan has significantly improved model performance and evaluation capabilities. Tests revealed that variables such as temperature, precipitation, and wind components strongly agreed with ERA5-Land data, achieving R scores as high as 0.99 in certain cases. For example, total precipitation data from GraphCast demonstrated an R of 0.87 when compared to ERA5-Land, highlighting its reliability for hydrological applications. Similarly, ECMWF IFS HRES data showed compatibility with ERA5-Land variables, making it a valuable addition to the dataset. These results underscore the MultiMet extensions effectiveness in enhancing hydrological models accuracy and applicability.By introducing the Caravan MultiMet extension, researchers from Google Research addressed critical limitations in hydrological datasets. Integrating diverse meteorological products facilitates real-time forecasting, robust model benchmarking, and improved prediction accuracy. This advancement represents a significant step forward in hydrological research, enabling better water resource management and hazard mitigation decision-making. The availability of this dataset under open licenses further ensures its accessibility and impact on the global research community.Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. If you like our work, you will love ournewsletter.. Dont Forget to join our55k+ ML SubReddit. Nikhil+ postsNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute. LinkedIn event, 'One Platform, Multimodal Possibilities,' where Encord CEO Eric Landau and Head of Product Engineering, Justin Sharps will talk how they are reinventing data development process to help teams build game-changing multimodal AI models, fast

S.T.A.L.K.E.R. 2: Heart of Chornobyl developer GSC Game World has confirmed the global release times for its hotly anticipated post-apocalyptic shooter.In a tweet, GSC said the November 20 release date for S.T.A.L.K.E.R. 2: Heart of Chornobyl kicks off at 8am PT / 11am ET, and is consistent across both PC and Xbox Series X and S. It also launches straight into Xbox Game Pass as part of Wave 2 of November 2024s lineup.S.T.A.L.K.E.R. 2: Heart of Chornobyl global release times. Image credit: GSC Game World.GSC has also confirmed S.T.A.L.K.E.R. 2s final PC system requirements. The game provides four graphics presets: low; medium; high; and epic, as well as a target resolution and FPS for each. The high graphics preset is what GSC calls 'recommended,' and provides 60fps gameplay at 1440p. For that high graphics preset youll need a Nvidia GeForce RTX 3070 Ti / RTX 4070 or AMD Radeon RX 6800 XT GPU and 32GB of RAM. Low and medium require 16GB of RAM and less powerful GPUs. All graphics presets, however, require 160GB of SSD storage, which is a significant footprint worth bearing in mind if youre planning on playing.Meanwhile, GSC confirmed S.T.A.L.K.E.R. 2 features upscaling options for DLSS and FSR. Specifically, S.T.A.L.K.E.R. 2 launches with DLSS 3 and Reflex, which means GeForce RTX 40 Series gamers can activate DLSS 3 with Frame Generation and Super Resolution from day-one, accelerating performance.S.T.A.L.K.E.R. 2: Heart of Chornobyl global release times:November 20, 2024Seattle: 8am PSTNew York: 11am ESTSo Paulo: 1pm BRTLondon: 4pm GMTPrague: 5pm CETKyiv: 6pm EETNovember 21, 2024Beijing: 12am CSTTokyo: 1am JSTSydney: 3am AEDTAuckland: 5am NZDTS.T.A.L.K.E.R. 2 has suffered a number of understandable delays, most recently in July when the game was due out in September. Ukrainian studio GSC said at the time that the extra two months would give the developers the chance to fix unexpected anomalies, aka bugs.GSC has also been vocal about the challenges the studio has faced getting S.T.A.L.K.E.R. 2 up to scratch after a mixed reaction to its debut public showing last year. At gamescom 2023, GSC addressed what some had called a downgrade sparked by S.T.A.L.K.E.R. 2s then latest gameplay trailer. At the time, GSC told IGN it was still targeting a visual quality and level of polish suggested by S.T.A.L.K.E.R. 2s eye-catching 2021 trailer despite the horrendous conditions suffered by the staff amid the war with Russia.Wesley is the UK News Editor for IGN. Find him on Twitter at @wyp100. You can reach Wesley at wesley_yinpoole@ign.com or confidentially at wyp100@proton.me.