It is virtually a rite of passage for C programmers to realize that they can write their own cooperative multitasking system. C is low-level enough, and there are several ways …read more

Gen Digital, el grupo especializado en ciberseguridad con marcas como Norton, Avast, LifeLock, Avira, AVG, ReputationDefender y CCleaner, ha publicado su informe Gen Threat Report correspondiente al primer trimestre de 2025, mostrando los cambios má

Researchers unexpectedly discovered toxic airborne pollutants in Oklahoma. The image above depicts a field in Oklahoma. Credit: Shutterstock University of Colorado Boulder researchers made the first-ever airborne detection of Medium Chain Chlorinated Paraffins (MCCPs) in the Western Hemisphere. Sometimes, scientific research feels a lot like solving a mystery. Scientists head into the field with a clear goal and a solid hypothesis, but then the data reveals something surprising. That’s when the real detective work begins. This is exactly what happened to a team from the University of Colorado Boulder during a recent field study in rural Oklahoma. They were using a state-of-the-art instrument to track how tiny particles form and grow in the air. But instead of just collecting expected data, they uncovered something completely new: the first-ever airborne detection of Medium Chain Chlorinated Paraffins (MCCPs), a kind of toxic organic pollutant, in the Western Hemisphere. The teams findings were published in ACS Environmental Au. “It’s very exciting as a scientist to find something unexpected like this that we weren’t looking for,” said Daniel Katz, CU Boulder chemistry PhD student and lead author of the study. “We’re starting to learn more about this toxic, organic pollutant that we know is out there, and which we need to understand better.” MCCPs are currently under consideration for regulation by the Stockholm Convention, a global treaty to protect human health from long-standing and widespread chemicals. While the toxic pollutants have been measured in Antarctica and Asia, researchers haven’t been sure how to document them in the Western Hemisphere’s atmosphere until now. From Wastewater to Farmlands MCCPs are used in fluids for metal working and in the construction of PVC and textiles. They are often found in wastewater and as a result, can end up in biosolid fertilizer, also called sewage sludge, which is created when liquid is removed from wastewater in a treatment plant. In Oklahoma, researchers suspect the MCCPs they identified came from biosolid fertilizer in the fields near where they set up their instrument. “When sewage sludges are spread across the fields, those toxic compounds could be released into the air,” Katz said. “We can’t show directly that that’s happening, but we think it’s a reasonable way that they could be winding up in the air. Sewage sludge fertilizers have been shown to release similar compounds.” MCCPs little cousins, Short Chain Chlorinated Paraffins (SCCPs), are currently regulated by the Stockholm Convention, and since 2009, by the EPA here in the United States. Regulation came after studies found the toxic pollutants, which travel far and last a long time in the atmosphere, were harmful to human health. But researchers hypothesize that the regulation of SCCPs may have increased MCCPs in the environment. “We always have these unintended consequences of regulation, where you regulate something, and then there’s still a need for the products that those were in,” said Ellie Browne, CU Boulder chemistry professor, CIRES Fellow, and co-author of the study. “So they get replaced by something.” Measurement of aerosols led to a new and surprising discovery Using a nitrate chemical ionization mass spectrometer, which allows scientists to identify chemical compounds in the air, the team measured air at the agricultural site 24 hours a day for one month. As Katz cataloged the data, he documented the different isotopic patterns in the compounds. The compounds measured by the team had distinct patterns, and he noticed new patterns that he immediately identified as different from the known chemical compounds. With some additional research, he identified them as chlorinated paraffins found in MCCPs. Katz says the makeup of MCCPs are similar to PFAS, long-lasting toxic chemicals that break down slowly over time. Known as “forever chemicals,” their presence in soils recently led the Oklahoma Senate to ban biosolid fertilizer. Now that researchers know how to measure MCCPs, the next step might be to measure the pollutants at different times throughout the year to understand how levels change each season. Many unknowns surrounding MCCPs remain, and there’s much more to learn about their environmental impacts. “We identified them, but we still don’t know exactly what they do when they are in the atmosphere, and they need to be investigated further,” Katz said. “I think it’s important that we continue to have governmental agencies that are capable of evaluating the science and regulating these chemicals as necessary for public health and safety.” Reference: “Real-Time Measurements of Gas-Phase Medium-Chain Chlorinated Paraffins Reveal Daily Changes in Gas-Particle Partitioning Controlled by Ambient Temperature” by Daniel John Katz, Bri Dobson, Mitchell Alton, Harald Stark, Douglas R. Worsnop, Manjula R. Canagaratna and Eleanor C. Browne, 5 June 2025, ACS Environmental Au. DOI: 10.1021/acsenvironau.5c00038 Never miss a breakthrough: Join the SciTechDaily newsletter.

Debate about whether artificial intelligence can replicate the intellectual labor of doctors, lawyers, or PhDs forgoes a deeper concern that’s looming: Entire companies—not just individual jobs—may be rendered obsolete by the accelerating pace of AI adoption. Reports suggesting OpenAI will charge $20,000 per month for agents trained at a PhD level spun up the ongoing debate about whose job is safe from AI and whose job is not. “I’ve not seen it be that impressive yet, but it’s likely not far off,” James Villarrubia, head of digital innovation and AI at NASA CAS, told me. Sean McGregor, the founder of Responsible AI Collaborative who earned a PhD in computer science, pointed out how many jobs are about more than just a set of skills: “Current AI technology is not sufficiently robust to allow unsupervised control of hazardous chemistry equipment, human experimentation, or other domains where human PhDs are currently required.” The big reason I polled the audience on this one was because I wanted to broaden my perspective on what jobs would be eliminated. Instead, it changed my perspective. AI needs to outperform the system, not the role Suzanne Rabicoff, founder of the human agency think tank and fractional practice, The Pie Grower, gave me some reading assignments from her work, instead of a quote. Her work showed me that these times are unprecedented. But something clicked in my brain when she said in her writing that she liked the angle of more efficient companies rising instead of jobs being replaced at companies with a lot of tech and human capital debt. Her response to that statement? “Exactly my bet.”  Sure, this is the first time that a robot is doing the homework for some college students. However, there is more precedent for robots moving market share than for replacing the same job function across a sector. Fortune 500 companies—especially those bloated with legacy processes and redundant labor—are always vulnerable to decline as newer, more nimble competitors rise. And not because any single job is replaced, but because the foundational economics of their business models no longer hold. AI doesn’t need to outperform every employee to render an enterprise obsolete. It only needs to outperform the system. Case study: The auto industry Take, for example, the decline of American car manufacturers in the late 20th century. In the 1950s, American automakers had a stranglehold on the car industry, not unlike today’s tech giants. In 1950, the U.S. produced about 75% of the world’s cars. But in the 1970s, Japanese automakers pioneered the use of robotics in auto manufacturing. These companies produced higher-quality vehicles at great value thanks to leaner operations that were also more precise. Firms like GM struggled to keep up, burdened by outdated factories and excessive human capital costs—including bloated pensions. The seismic shift in the decades to follow paints a picture of what could be in store for large companies now. In 1960, the U.S. produced about 48% of the world’s cars, while Japan accounted for just 5%. By 1980, Japan had captured around 29% of the market, while the U.S. had fallen to 23%. Today’s AI shakeup could look similar. Decades from now, we could look at Apple similarly to how we look at Ford now. AI startups with more agile structures are poised to eat market share. On top of that, startups can focus on solving specialized problems, sharpening their competitive edge. Will your company shrivel and die? The fallout has already begun. Gartner surveyed organizations in late 2023, finding that about half were developing their own AI tools. By the end of 2024, that dropped to 20%. As hype around generative AI cools, Gartner notes that many chief information officers are instead using outside vendors—either large language model providers or traditional software sellers with AI-enhanced offerings. In 2024, AI startups received nearly half of the $209 billion in global venture funding. If only 20% of legacy organizations currently feel confident competing with these upstarts, how many will feel that confidence as these startups mature? While headlines continue to fixate on whether AI can match PhD-level expertise, the deeper risk remains largely unspoken: Giant companies will shrivel and some may die. And when they do, your job is at risk whether you greet customers at the front desk or hold a PhD in an engineering discipline. But there are ways to stay afloat. One of the most impactful pieces of advice I ever received came from Jonathan Rosenberg, former SVP of products at Google and current advisor to Alphabet, when I visited the company’s campus in college. “You can’t just be great at what you do, you have to catch a great wave. Early people think it’s about the company, then the job, then the industry. It’s actually industry, company, job…” So, how do you catch the AI wave? Ankur Patel, CEO of Multimodal, advises workers to learn how to do their current jobs using AI tools that enhance productivity. He also notes that soft skills—mobilizing people, building relationships, leading teams—will become increasingly valuable as AI takes over more technical or routine tasks. “You can’t have AI be a group leader or team leader, right? I just don’t see that happening, even in the next generation forward,” Patel said. “So I think that’s a huge opportunity…to grow and learn from.” The bottom line is this: Even if the AI wave doesn’t replace you, it may replace the place you work. Will you get hit by the AI wave—or will you catch it? George Kailas is CEO of Prospero.ai.

Architectural education is an important part of becoming an architect. It provides a foundation in art and architectural history, basic concepts of design, and foundational technical knowledge. It promotes critical thinking, examines social and economic complexities, and encourages creativity and teamwork. I may be biased, but I believe the camaraderie and pride that are part of architectural students’ design studio experience are unmatched by any other educational program.    In this issue of the AIA Canada Journal, Pauline Thimm, Hannah Allawi and I reached out to schools of architecture from across the country. Our conversations centred on research themes in today’s design studios, with a focus on housing affordability. Students and faculties are actively engaging in challenging the status quo on the shortage of housing. It takes a village to derive plausible solutions—and schools of architecture across the country are united in bringing their voices and minds to this pressing issue. In a Social Sciences and Humanities Research Council (SSHRC)-supported partnership, AIA Canada Society is also actively participating in research on designing inclusive, sustainable and healthy cities.  We want to thank all the educators who took time to speak with us and provide their invaluable insights.  -Dora Ng, AIA Canada Society President Rick Haldenby Professor, School of Architecture, University of Waterloo Rick Haldenby, FRAIC, served as Director of the School of Architecture at the University of Waterloo from 1988 to 2013, and founded the Waterloo Rome Program in 1979. Among many accomplishments, Haldenby was appointed to the Order of Canada in 2021, and has received the Lifetime Achievement Award from the Canadian Council of University Schools of Architecture, the Special Jury Prize at the Kitchener Waterloo Arts Awards, and the Dr. Jean Steckle Award for Heritage Education from the Waterloo Regional Heritage Foundation. Q: Kitchener-Waterloo is known as a university town that is home to top Ontario post-secondary institutions. Tell us a bit about the twin cities. A: The Waterloo Region’s industrial development began with the arrival of German-speaking immigrants in the 19th century. Its cities were literally “founded on factories.” Its prosperity was influenced by a rail-based transport system. In the late 19th century, the extension of the Grand Trunk Railway contributed to the industrialization of the area. In the 1950s, visionary community leaders made concerted efforts to build educational infrastructure, and in just a few years created the University of Waterloo, Wilfrid Laurier University and Conestoga College. The region experienced significant growth in manufacturing industries, insurance companies, and high-tech businesses over time. Home to two universities and a college, it is an education hub that attracts talents and businesses, which increases the demand for housing for students and families. The once-suburban neighbourhood of Northdale, surrounded by these post-secondary institutions, saw a surge in student population in the early 2000s, including a large percentage of international students. We saw a building boom to increase medium-density housing like stacked townhomes and row houses, as well as taller buildings up to 30+ stories in what was once a primarily low-density town. Q:  Like the building boom in Waterloo, we saw many residential high-rises going up in the GTA, but this growth still does not adequately address housing demand. In many cities across Canada, there are unprecedented housing issues including affordability and homelessness. What do you see emerging as key areas of interest and inquiry among students at your school? Is housing one of them? A: Connection between affordability and homelessness is not a one-to-one problem. The housing crisis can have many dimensions. In our undergraduate design studios, we are laying the groundwork for approaches to affordability, environmental responsibility and social justice. Many of my colleagues and graduate students at the University of Waterloo are involved in various research studies, exhibitions and campaigns, including the 2023 Venice Architecture Biennale. We also try to keep a balance to cover diverse topics in architecture, including housing. Second- and third-year design studios focus on urban intensification amid the building boom, enabling students to discuss ideas for keeping cities habitable and attractive for future growth. Design studios have also worked with the local chapter of Habitat for Humanity to support the ambitious program to build affordable housing for families in need. In partnership with the City of Cambridge, Waterloo architecture students designed and built tiny homes as prototypes for emergency shelter. Photo courtesy University of Waterloo Q: Any examples of collaboration between studio projects and practicing professionals in tackling the housing crisis? A: Through collaboration and communication with the community, the School of Architecture has engaged with social housing agencies, municipality planning authorities, Indigenous groups and aging-in-place consultants to develop housing solutions for a diverse population including seniors. Moving the School of Architecture from Waterloo to Cambridge in 2004 was a communal project with great support from the City of Cambridge. Occupying the repurposed silk mill in Cambridge, the school aims to be the design campus for the city to allow exchange of creative ideas and intellectual stimulation. Since the move, we have had many opportunities to collaborate and work closely with the municipality. The Tiny Homes project is an initiative in partnership with the City of Cambridge, whereby Waterloo architecture students were engaged to design and build prototype tiny homes that offer practical, cost-effective and dignified emergency housing solutions. It is an example of collaboration that makes a meaningful difference.  Photo by Danielle Sneesby Shauna Mallory-Hill Associate Professor and Associate Dean of Research, Faculty of Architecture, University of Manitoba Shauna Mallory-Hill, PhD, is currently Associate Professor and Associate Dean of Research at the University of Manitoba’s Faculty of Architecture. Her 25-year-long career spans teaching, research and advocacy, with a focus on building systems, universal and sustainable design, as well as building performance evaluation. Her sponsored research includes accessible design, along with post-occupancy work on how sustainably designed environments impact human health and productivity. Q: How is The University of Manitoba Faculty of Architecture (FAUM) specifically engaging in design explorations addressing housing?  A: In addition to hosting public events and delivering focused design studios, we are actively engaged and support research collaborations including funded research with the Social Sciences and Humanities Research Council (SSHRC) and the Canada Mortgage and Housing Corporation (CMHC). We are also committed to partnering and working with communities.    In 2022, U of M professor Lancelot Coar’s undergraduate studio engaged with One House Many Nations to develop a mobile design and construction trailer for on-site design-build work. Photo by Lancelot Coar One House Many Nations (OHMN) originally started as a grassroots movement to shed light on the housing crisis faced by Indigenous communities.  For the past four years, OHMN, led by Dr. Alex Wilson and Sylvia McAdam, has been working with faculty and students from FAUM, houseless First Nations youth, and students at Saskatoon’s Nutana Collegiate to design and construct small, affordable homes that are trucked to remote Indigenous communities in Northern Saskatchewan. After a house is delivered, it is occupied by one of the youth participants. Each year, another house is built, informed by post-occupancy data that was collected on the previous year’s house(s).  First Nations youth participants have learned to advocate for community needs while gaining skills and knowledge about home-building and maintenance.  Lancelot Coar’s 2022 undergraduate architecture studio engaged with OHMN to create a mobile design lab that can be brought onsite to design-build in First Nations communities. OHMN’s work was exhibited at the Canadian Pavilion at the Venice Biennale of Architecture in 2023.    Q: What are key areas of interest and inquiry among students at your school? Is housing one of them?  A: We are seeing that this generation is increasingly concerned about what is happening to the world—concerns about sustainability, housing, and food deserts are paramount. Students want to work on things that are meaningful. Students also really embrace hands-on learning. Any time students are encouraged and supported to engage with community, they feel like they are making a difference.     Here in Winnipeg, we can all see the encampments of the unhoused. It is apparent that there is work to do to solve this dilemma.This past year, one of our housing-themed studios worked with a local grassroots organization, St. Boniface Street Links, in the design and construction of a prototype transitional house as a safer interim housing solution. This housing project ultimately was built and included as part of the annual Warming Huts design competition at the Forks. Q: Are there any barriers to collaborating in this way, involving practitioners and real community groups? A: We often get groups who approach us to collaborate. We need to be clear that we are not providing a design service, but we are committed to the exploration of ideas and working together on important problems.     It is important to me that doing housing research work in collaboration with Indigenous communities is respectful, responsible and reciprocal. Ensuring that some benefit of the research stays with the community is crucial, given the long history of research involving Indigenous populations where this did not happen. A willingness to listen and understand community priorities and context—and adapt—is key.  It can be difficult for some to have enough capacity to deal with added administration (meetings, paperwork, report writing, etc.); a local liaison is helpful.  The Wîkiwin student-built house is part of an ongoing collaboration with Kawéchiwasik Development Corporation at York Factory First Nation. Photo by Shauna Mallory-Hill Q: Some of your current research and design work is supported by the CMHC Housing Supply Challenge. Can you tell us a bit about that project?  A: The CMHC funding in part supports the Wîkiwin Training Enterprise of York Factory First Nation project, geared to building healthy homes by leveraging local resources and tradespeople in collaboration with the Kawéchiwasik Development Corporation. The purpose is to provide design education and construction skills in the northern communities where they are needed. A key goal is that kids won’t need to leave their communities to get skills, and communities can develop capacity to increase their self-sufficiency.    In collaboration with FAUM, the project will include a comprehensive education model based on a co-created curriculum, training programs, housing designs and research on building materials. Students earn micro-credentials through distance education to get basic training in design and construction, or have the opportunity to work as research assistants to assist with collection of data, such as indoor air quality.     Focusing on sustainable construction techniques, using local materials like stone and wood, the initiative promises to employ residents, cut production costs, and enhance housing quality. Additionally, the creation of a year-round skilled trades school facility and housing for students and teachers will boost the local labour force.    Stage 2 of the project involves the building of the Wîkiwin skilled trades training and research facility and dormitory. This phase will also see the expansion of the educational curriculum in partnership with the University of Manitoba, ultimately increasing the labour force capacity of York Factory First Nation and creating more opportunities for its youth.  Sasha Tsenkova Professor of Planning and Director of the Cities, Policy & Planning Lab at the School of Architecture, Planning & Landscape (SAPL), University of Calgary Sasha Tsenkova, PhD, is a professor at the School of Architecture, Planning & Landscape at the University of Calgary. With a background in architecture, urbanism, and planning, her work spans over 30 years of research, teaching, and professional practice, focusing on creating more inclusive and sustainable urban environments. She is a Fellow of the Canadian Institute of Planners and a Fellow of the Royal Society of Canada/Academy of Social Sciences. Q: Major cities across Canada are seeing unprecedented housing issues. As an educator, what have you seen in research or studio projects that tackle these issues?    A: We are a nation of suburban homeowners, where much of the wealth creation in the urban system is driven by investment in housing. Today, income and wealth inequality in Canadian cities is higher than ever before, which is exacerbated by the suburban homeownership model. In cities, newcomers to the housing market—young and old—face incredible affordability constraints. Homelessness has grown exponentially and homeownership is not within the reach of the middle class. In the design world, we must begin to address, through systemic intervention, these challenges. Many of our research and studio projects focus on sustainable urbanism through designs  that explore strategies to provide affordable homes across the income spectrum and embrace different types of housing.      We cannot continue to replicate a model of postwar city building that no longer serves the needs of the people. We encourage students to learn from successful cities in Europe, Latin America, and the United States, where a more systematic approach to neighbourhood design and redevelopment allows various types of housing to be built along the same street within a community. This is a different approach to growth premised on urban regeneration and intensification, where people come before cars and community identity evolves over time.   Q: Any examples of collaboration between studio projects and practicing professionals in tackling the housing crisis?  A: We focus on community-engaged scholarship, research and teaching at SAPL. Integration with communities of practice is necessary, but so is a direct relationship with clients, so that we situate our studio projects in the real-world. The housing crisis is multi-faceted and future professionals need to be aware of the complexity of design intervention—solutions require a nexus of policy, planning and design approaches. In a graduate school, we must prepare aspiring designers, architects and planners to embrace these challenges.      The interface with critical practice is the ultimate test for us to remain relevant and committed to innovation and excellence within the realm of what we can control. Studio teaching needs to address housing affordability in a systematic way, as it will make a critical difference within Canadian society and will define the future of our cities. This requires a much stronger emphasis on sustainable urbanism and community-based projects.  Q: What policies do you feel cities in Canada should create or address to aid in addressing the housing crisis and homelessness?  A: The planning regulation, upzoning, and permitting processes can be improved to enhance infill housing, gentle density and inner-city intensification. Recognizing that cities and neighbourhoods need to be built for people and not for cars requires a focus on transit-oriented development in strategic locations where low-density retail, industrial and housing sites can be redeveloped to become mixed-use urban villages with a variety of housing types. Changes to minimum parking standards and lot coverage can energize the infusion of missing middle housing to create opportunities for multi-generational living, cohousing and home sharing with renters. But the real difference in addressing the homelessness and affordability crisis is the renewed investment into affordable housing through partnerships of federal, provincial and municipal governments with non-profit organizations. We need to grow this segment of the housing market and to make sure that it is an integral part of our urban neighbourhoods through the design process. Q: What role do you think schools of architecture and design have in tackling the housing crisis in Canada?  A: We need to make a major commitment to building knowledge and capacity that focuses on solutions to the housing crisis in our curriculum. Design thinking is premised on innovation; it is part of the competency, creativity and collaboration that we try to instill in future professionals. Architects today are absent from the design of neighbourhoods on the periphery of our cities. We need to bring back that creativity and the knowledge of architects, planners, and designers, and develop the prototypes that will provide solutions to the housing crisis.     SAPL is moving downtown so that we can be a part of downtown rebuilding and innovation. Our adaptive reuse of existing office space in Calgary’s downtown will provide opportunities to connect to local businesses and residents and offer immersion in city life that is critical for our students. Our school will be a living urban design lab, where we embrace social justice, community-inspired design work and collaborate with different communities of practice to demonstrate viable solutions for changing cities and changing societies.   Sara Stevens Associate Professor & Chair – Urban Design at the School of Architecture & Landscape Architecture (SALA), University of British Columbia Sara Stevens is an architectural historian and Associate Professor at the University of British Columbia in Vancouver. Her book Developing Expertise (Yale University Press, 2016) studies real estate development in 20th-century American cities. She is a member of the collective Architects Against Housing Alienation, curators of the Canada Pavilion at the 2023 Venice Architecture Biennale. Q:  Major cities across Canada are seeing unprecedented housing issues (affordability issues and homelessness). As an educator, what have you seen in research or studio projects that tackle these issues?  A: There are so many great examples of design studios in Canada that are looking at housing challenges, such as the ‘Not for Sale’ study abroad course on contemporary housing that recently won the ACSA’s 2024 Architectural Education Award. McGill has a long history of housing research with the Minimum Cost Housing Group, which was the subject of a recent exhibition curated by Ipek Türeli. The work of Shawn Bailey and Lancelot Coar at the University of Manitoba is bringing really innovative pedagogy to the question of housing for Indigenous communities to design schools.  Q: Any examples of collaboration between studio projects and practicing professionals in tackling the housing crisis?  A: At UBC, questions around missing middle housing brought forth a collaboration between Haeccity Studio Architects and UBC students that resulted in a publication of the students’ work, co-sponsored by SALA and the Urbanarium, an organization in Vancouver that is a forum for sharing ideas about city building, particularly around climate change and housing affordability. The Urbananium’s design competitions have focused on missing middle housing, mixed-use neighbourhoods, and the codes and regulations that are barriers to housing affordability. Their current competition, Decoding Timber Towers, is focused on prefab and mass timber housing.  Q: What policies do you feel cities in Canada should create or address to aid in the housing crisis and homelessness?  A: I think that Canada needs to take UNDRIP and the TRC Calls to Action seriously. We can’t separate the issue of housing for Indigenous people, and the history of colonization that it’s part of, from the housing challenges everyone else faces. The United Nations Housing as a Human Right work is a great resource on this, as their work also points to the problems of financialization and the effect this has had on renters, social housing, and un-housed folks.  The Land Back Courtyard was part of the Not For Sale exhibition at the Canada Pavilion in the 2023 Venice Architecture Biennale. Photo by Maris Mezulis Q: What role do you think schools of architecture and design have in tackling the housing crisis in Canada? A: Schools of architecture and design can play an important role by educating students about the role of architects in the housing crisis in Canada. We need the next generation of architects to understand that they have a part to play. It’s not an issue that can be solved through policy and the market alone: their expertise in design, which of course touches policy and works with the private sector, is inherently part of this issue.     To develop deeper conversations around this, I am working with collaborators in the collective Architects Against Housing Alienation to organize a super-studio across Canada for the next school year (25-26) called “End Housing Alienation Now!” that is inviting all schools of architecture to run studios on a shared set of themes and principles. (This builds off of the exhibition and campaign we did for the 2023 Venice Architecture Biennale, which the teaching award I mentioned is also related to.) We have commitments from almost all the schools already, and have hosted a number of conversations with people from the schools to develop how this will work, balancing what is shared vs. independent, the different schedules and levels of students, etc.      For these studios, one ambition is that the studios work with local activists, advocates, and professional practices to show students how important these kinds of collaborations can be, and how important embedded local knowledge is. We hope to share resources and create opportunities for students to connect across geographies to ensure that many, many people with lots of passion and expertise are focused on this topic.     As appeared in the June 2025 issue of Canadian Architect magazine  The post AIA Canada Journal: Canadian educators on housing affordability appeared first on Canadian Architect.

William Morris Biscuit Set. All images courtesy of Ella Hawkins, shared with permission Dr. Ella Hawkins Reimagines Ancient Artifacts and Prized Objects as Edible Replicas May 31, 2025 Grace Ebert Academic research is notoriously niche and often opaque, but Dr. Ella Hawkins has found a crowd-pleasing way to share her studies. The Birmingham-based artist and design historian translates her interests in Shakespeare performance, costume, and matieral culture into edible replicas. Hawkins bakes batches of cookies that she tops with royal icing. Decorating takes a scholarly turn, as she uses tiny paintbrushes and a mini projector to help trace imagery of William Morris’ ornate floral motifs or coastal scenes from English delftware. Rendering a design on a single cookie can take anywhere between two and four hours, depending on the complexity. Unsurprisingly, minuscule calligraphy and portraits are most demanding. Ancient Greek Pottery Sherds Hawkins first merged baking and her research about a decade ago while studying undergraduate costume design at the University of Warwick. She decided to bake cupcakes based on Shakespeare productions that her class examined. “It felt like a fun way to look back at all the different design styles we’d covered through the year,” she tells Colossal, adding: I carried on decorating cakes and cookies based on costume design through my PhD (mainly as goodies to give out during talks, or as gifts for designers that I interviewed), then branched out and spent lots of time doing cookie versions of other artefacts to keep busy during the pandemic. She has since published an academic book on the topic and is a senior lecturer at Royal Welsh College of Music and Drama. But she also continues to translate artifacts and prized objects held within museum collections into delicious canvases. There’s a set made in collaboration with Milton’s Cottage, a museum in the country house where John Milton finished his epic Paradise Lost. Anchored by a delicately crosshatched portrait evoking that of the frontispiece, the collection contains typographic titles and signs that appear straight from a 17th-century book. Delftware Tiles Hawkins ventures farther back in history to ancient Greece with a collection of pottery sherds inspired by objects within the Ashmolean Museum. With a bowed surface to mimic a vessel’s curvature, the irregular shapes feature fragments of various motifs and figures to which she applied a sgraffito technique, a Renaissance method of scratching a surface to reveal the layer below. The weathered appearance is the result of blotting a base of pale brown-grey before using a scribe tool to scratch and crack the royal icing coating the surface. She then lined these etchings with a mix of vodka and black food coloring to mimic dirt and wear. (It’s worth taking a look at this process video.) Other than a select few preserved for talks and events, Hawkins assures us that the rest of her cookies are eaten. Find more of her work on her website and Instagram. Medieval Tiles, inspired by The Tristram Tiles, Chertsey, Surrey, England (c. 1260s-70s) Milton’s Cottage Biscuit Set developed in collaboration with Milton’s Cottage Outlander Biscuit Set Elizabethan Gauntlet Biscuit Set Next article

Artificial intelligence could soon outpace Bitcoin mining in energy consumption, according to Alex de Vries-Gao, a PhD candidate at Vrije Universiteit Amsterdam's Institute for Environmental Studies. His research estimates that by the end of 2025, AI could account for nearly half of all electricity used by data centers worldwide -- raising significant concerns about its impact on global climate goals. "While companies like Google and Microsoft disclose total emissions, few provide transparency on how much of that is driven specifically by AI," notes DIGIT. To fill this gap, de Vries-Gao employed a triangulation method combining chip production data, corporate disclosures, and industry analyst estimates to map AI's growing energy footprint. His analysis suggests that specialized AI hardware could consume between 46 and 82 terawatt-hours (TWh) in 2025 -- comparable to the annual energy usage of countries like Switzerland. Drawing on supply chain data, the study estimates that millions of AI accelerators from NVIDIA and AMD were produced between 2023 and 2024, with a potential combined power demand exceeding 12 gigawatts (GW). A detailed explanation of his methodology is available in his commentary published in Joule. Read more of this story at Slashdot.

AI could soon surpass Bitcoin mining in energy consumption, according to a new analysis that concludes artificial intelligence could use close to half of all the electricity consumed by data centers globally by the end of 2025.The estimates come from Alex de Vries-Gao, a PhD candidate at Vrije Universiteit Amsterdam Institute for Environmental Studies who has tracked cryptocurrencies’ electricity consumption and environmental impact in previous research and on his website Digiconomist. He published his latest commentary on AI’s growing electricity demand last week in the journal Joule. AI already accounts for up to a fifth of the electricity that data centers use, according to de Vries-Gao. It’s a tricky number to pin down without big tech companies sharing data specifically on how much energy their AI models consume. De Vries-Gao had to make projections based on the supply chain for specialized computer chips used for AI. He and other researchers trying to understand AI’s energy consumption have found, however, that its appetite is growing despite efficiency gains — and at a fast enough clip to warrant more scrutiny.“Oh boy, here we go.”With alternative cryptocurrencies to Bitcoin — namely Ethereum — moving to less energy-intensive technologies, de Vries-Gao says he figured he was about to hang up his hat. And then “ChatGPT happened,” he tells The Verge. “I was like, Oh boy, here we go. This is another usually energy-intensive technology, especially in extremely competitive markets.” There are a couple key parallels he sees. First is a mindset of “bigger is better.” “We see these big tech [companies] constantly boosting the size of their models, trying to have the very best model out there, but in the meanwhile, of course, also boosting the resource demands of those models,” he says. That chase has led to a boom in new data centers for AI, particularly in the US, where there are more data centers than in any other country. Energy companies plan to build out new gas-fired power plants and nuclear reactors to meet growing electricity demand from AI. Sudden spikes in electricity demand can stress power grids and derail efforts to switch to cleaner sources of energy, problems similarly posed by new crypto mines that are essentially like data centers used to validate blockchain transactions. The other parallel de Vries-Gao sees with his previous work on crypto mining is how hard it can be to suss out how much energy these technologies are actually using and their environmental impact. To be sure, many major tech companies developing AI tools have set climate goals and include their greenhouse gas emissions in annual sustainability reports. That’s how we know that both Google’s and Microsoft’s carbon footprints have grown in recent years as they focus on AI. But companies usually don’t break down the data to show what’s attributable to AI specifically.To figure this out, de Vries-Gao used what he calls a “triangulation” technique. He turned to publicly available device details, analyst estimates, and companies’ earnings calls to estimate hardware production for AI and how much energy that hardware will likely use. Taiwan Semiconductor Manufacturing Company (TSMC), which fabricates AI chips for other companies including Nvidia and AMD, saw its production capacity for packaged chips used for AI more than double between 2023 and 2024. After calculating how much specialized AI equipment can be produced, de Vries-Gao compared that to information about how much electricity these devices consume. Last year, they likely burned through as much electricity as de Vries-Gao’s home country of the Netherlands, he found. He expects that number to grow closer to a country as large as the UK by the end of 2025, with power demand for AI reaching 23GW. Last week, a separate report from consulting firm ICF forecast a 25 percent rise in electricity demand in the US by the end of the decade thanks in large part to AI, traditional data centers, and Bitcoin mining. It’s still really hard to make blanket predictions about AI’s energy consumption and the resulting environmental impact — a point laid out clearly in a deeply reported article published in MIT Technology Review last week with support from the Tarbell Center for AI Journalism. A person using AI tools to promote a fundraiser might create nearly twice as much carbon pollution if their queries were answered by data centers in West Virginia than in California, as an example. Energy intensity and emissions depend on a range of factors including the types of queries made, the size of the models answering those queries, and the share of renewables and fossil fuels on the local power grid feeding the data center. It’s a mystery that could be solved if tech companies were more transparentIt’s a mystery that could be solved if tech companies were more transparent about AI in their sustainability reporting. “The crazy amount of steps that you have to go through to be able to put any number at all on this, I think this is really absurd,” de Vries-Gao says. “It shouldn’t be this ridiculously hard. But sadly, it is.”Looking further into the future, there’s even more uncertainty when it comes to whether energy efficiency gains will eventually flatten out electricity demand. DeepSeek made a splash earlier this year when it said that its AI model could use a fraction of the electricity that Meta’s Llama 3.1 model does — raising questions about whether tech companies really need to be such energy hogs in order to make advances in AI. The question is whether they’ll prioritize building more efficient models and abandon the “bigger is better” approach of simply throwing more data and computing power at their AI ambitions. When Ethereum transitioned to a far more energy efficient strategy for validating transactions than Bitcoin mining, its electricity consumption suddenly dropped by 99.988 percent. Environmental advocates have pressured other blockchain networks to follow suit. But others — namely Bitcoin miners — are reluctant to abandon investments they’ve already made in existing hardware (nor give up other ideological arguments for sticking with old habits). There’s also the risk of Jevons paradox with AI, that more efficient models will still gobble up increasing amounts of electricity because people just start to use the technology more. Either way, it’ll be hard to manage the issue without measuring it first. See More:

The new ES90 electric car is the flagship of Volvo's latest digital safety tech.TT News Agency/AFP via Getty Images For decades, the Volvo brand has been synonymous with safety. But keeping passengers secure is no longer just about a strong cabin or cleverly designed crumple zones. Increasingly, safety is about semi-autonomous driving technology that can mitigate collisions or even avoid them entirely. Volvo intends to be ahead of the game in this era too. Its secret weapon? Something called “Gaussian Splatting”. I asked Volvo’s Head of Software Engineering Alwin Bakkenes and subsidiary Zenseact’s VP Product Erik Coelingh exactly what this is and why it’s so important. Volvo: Early Application Of Safety Data “We have a long history of innovations based on data,” says Bakkenes. “The accident research team from the 70s started with measuring tapes. Now in the digital world we’re collecting millions of real-life events. That data has helped us over the years to develop a three-point safety belt and the whiplash protection system. Now, we can see from the data we collect from fleets that a very large portion of serious accidents happen in the dark on country roads where vulnerable road users are involved. That’s why, with the ES90 that we just launched, we are also introducing a function called lighter AES where we have enabled the car to steer away from pedestrians walking on the side of the road or cyclists, which in the dark you can’t see even if you have your high beam on. This technology picks that up earlier than a human driver.” The Volvo EX90 SUV will also benefit from this technology. Volvo Cars uses AI and virtual worlds with the aim to create safer carsVolvo “If you want to lead in collision avoidance and self-driving, you need to have the best possible data from the real world,” adds Bakkenes. “But everyone is looking also at augmenting that with simulated data. The next step is fast automation, so we’re using state-of-the-art end-to-end models to achieve speed in iterations. But sometimes these models hallucinate. To avoid that, we use our 98 years of safety experience and these millions of data points as guardrails to make sure that the car behaves well because we believe that when you start to automate it needs to be trusted. For us every kilometer driven with Pilot Assist or Pilot Assist Plus needs to be safer than when you've driven it yourself. In the world of AI data is king. We use Gaussian Splatting to enhance our data set.” What Is Volvo’s Gaussian Splatting? “Cars are driven all around the world in different weather and traffic conditions by different people,” says Coelingh. “The variation is huge. We collect millions of data points, but it’s still a limited amount compared to reality. Gaussian Splatting is a new technology that some of our PhD students have been developing the last few years into a system where you can take a single data point from the real world where you have all the sensor, camera, radar and LIDAR sequences and then blow it up into thousands or tens of thousands of different scenarios. In that way, you can get a much better representation of the real world because we can test our software against this huge variation. If you do it in software, you can test much faster, so then you can iterate your software much more quickly and improve our product.” “Gaussian Splatting is used in different areas of AI,” continues Coelingh. “It comes from the neural radiance fields (NeRFs).” The original version worked with static images. “The first academic paper was about a drum kit where somebody took still pictures from different angles and then the neural net was trained on those pictures to create a 3D model. It looked perfect from any angle even though there was only a limited set of pictures available. Later that technology was expanded from 3D to 4D space-time, so you could also do it on the video set. We now do this not just with video data, but also with LiDAR and radar data.” A real-world event can be recreated from every angle. “We can start to manipulate other road users in this scenario. We can manipulate real world scenarios and do different simulations around this to make sure that our system is robust to variations.”Gaussian Splatting allows multiple scenario variations to be created from one real event.Volvo Volvo uses this system particularly to explore how small adjustments could prevent accidents. “Most of the work that we do is not about the crash itself,” says Coelingh. “It’s much more about what's happening 4-5 seconds before the crash or potential crash. The data we probe is from crashes, but it's also from events where our systems already did an intervention and in many cases those interventions come in time to prevent an accident and in some cases they come late and we only mitigated it. But all these scenarios are relevant because they happen in the real world, and they are types of edge case. These are rare, but through this technology of Gaussian Splatting, we can go from a few edge cases to suddenly many different edge cases and thereby test our system against those in a way that we previously could not.” Volvo’s Global Safety Focus This is increasingly important for addressing the huge variation in global driving habits and conditions a safety system will be expected to encounter. “Neural Nets are good at learning these types of patterns,” says Coelingh. “Humans can see that because of the behavior of a car the driver is talking into their phone, either slowing down or wiggling in the lane. If you have an end-to-end neural network using representations from camera images, LiDAR and radar, it will anticipate those kinds of things. We are probing data from cars all around the world where Volvo Cars are being driven.” The system acts preemptively, so it can perform a safety maneuver for example when a pedestrian appears suddenly in the path of the vehicle. “You have no time to react,” says Coelingh. Volvo’s safety system will be ready, however. “Even before that, the car already detects free space. It can do an auto steer and it’s a very small correction. It doesn't steer you out of lane. It doesn't jerk you around. It slows down a little bit and it does the correction. It's undramatic, but the impact is massive. Oncoming collisions are incredibly severe. Small adjustments can have big benefits.”Volvo's safety tech can detect pedestrians the human driver may not have seen.Volvo Volvo has developed one software platform to cover both safety and autonomy. “The software stack that we develop is being used in different ways,” says Coelingh. “We want the driver to drive manually undisturbed unless there’s a critical situation. Then we try to assist in the best possible way to avoid collision, either by warning, steering, auto braking or a combination of those. Then we also do cruising or L2 automation.” Volvo demonstrated how it has been using Gaussian Splatting at NVIDIA’s GTC in April. “We went deeply into the safe automation concept,” says Bakkenes. “Neural nets are good at picking up things that you can’t do in a rule-based system. We're developing one stack based on good fleet data which has end-to-end algorithms to achieve massive performance, and it has guard rails to make sure we manage hallucinations. It's not like we have a collision avoidance stack and then we have self-driving stack.” “There was a conscious decision that if we improve performance, then we want the benefits of that to be both for collision avoidance in manual driving and for self-driving,” says Coelingh. “We build everything from the same stack, but the stack itself is scalable. It’s one big neural network that we can train. But then there are parts that we can deploy separately to go from our core premium ADAS system all the way to a system that can do unsupervised automation. Volvo’s purpose is to get to zero collisions, saving lives. We use AI and all our energy to get there.”