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Imagine a world where generative AI is changing how we power our lives. A California startup has taken a bold step by introducing what they claim to be the first commercial use of generative AI in a US nuclear power plant. This technology isn't just for tech giants. It’s reshaping industries and improving safety. Could this innovation be the future of energy? Let’s explore how AI can make our world more efficient and reliable. Follow me for insights on how technology is transforming industries. If you have a project in mind, send me a DM!

?? Three Transformative AI Use Cases Shaping Our Future AI is unlocking new frontiers in some unexpected areas. Here are three real-world applications that showcase its power: 1?? AI in Surveillance Imagine snapping a picture at any street corner and instantly knowing its exact location. A Boston-based startup, GeoSpy, achieved this with AI capable of identifying the geographical location of any street-level photo. Originally public-facing, they’ve since pivoted to serving law enforcement exclusively. While the potential for public safety is immense, it also raises important discussions about privacy. 2?? AI in Drug Discovery AI is revolutionizing how we develop medicines. Demis Hassabis, who earned a Nobel Prize for his work on AlphaFold2, has launched Isomorphic Labs. His startup uses AI to compress the drug discovery process from years to mere months. Their first AI-designed drugs are heading into clinical trials—a leap forward in healthcare. 3?? AI in Nuclear Fusion Commonwealth Fusion, an MIT spinoff, is using AI to stabilize plasma in nuclear fusion reactors. By predicting plasma states, AI helps optimize the magnet arrays to contain and sustain the reaction. This could bring us closer to the long-awaited dream of clean and limitless energy. ?? AI even sparks curious experiments, like the Canadian streamer who claimed to achieve nuclear fusion on his kitchen table using only AI guidance. While unverified, it’s a reminder of how this technology is pushing the boundaries of what’s possible. ?? AI is a tool, not just a marvel. How can we integrate these innovations into learning environments to inspire the next generation of problem-solvers? #AI #Innovation #FutureOfTech #Healthcare #CleanEnergy #Privacy

Our top picks of university #spinouts of 2024 stand out for their groundbreaking work in attempting to solve some of the biggest challenges facing society. Spanning #cleantech, materials science, circular economy, genome sequencing and AI, these #spinouts are at the earliest stage of company formation and commercialisation, and provide a look at the kind of deep tech breakthroughs shaping the future. Read the full list here: https://lnkd.in/ectdKd9H #startups #dna #data #energy #hydrogen #nuclear #AI #sustainability #carbon #chips #battery #plastic Biomemory, Terria, Clyde Hydrogen Systems, Ookuma Diamond Device, carbogenics, Sora Fuel, Forefront RF, Swisspod Technologies, Oriole Networks, Lucid Genomics, AZUL Energy Inc., Cyclize

The media has been covering Big Tech's investment in nuclear energy to offset the increased energy consumption from Generative AI. But this is what I'm interested in - the research coming out that will decrease energy usage. A new algorithm, L-Mul, from researchers at BitEnergy AI in Cambridge seeks to reduce energy consumption by large AI models. According to the paper, “applying the L-Mul operation in tensor processing hardware can potentially reduce 95% energy cost […] floating point multiplications and 80% energy cost of dot products. […] Evaluation results on popular benchmarks show that directly applying L-Mul to the attention mechanism is almost lossless.” How does it work? * L-Mul replaces energy-intensive floating point multiplication operations with simpler integer addition operations. Is there a tradeoff in accuracy? * The researchers found some very promising results in their testing: L-Mul is actually more accurate than 8-bit floating point multiplication while using less computational resources. * Replacing standard multiplications with L-Mul in the attention mechanism of large language models resulted in almost no performance loss What's next? * BitEnergy plans to implement L-Mul at the hardware level which will further reduce energy consumption. This is a significant step towards making AI more sustainable and accessible. Now to get it into production…. :-)

The rapid expansion of data centers globally continues unabated, driving Big Tech to strategise on fueling the artificial intelligence evolution. Key considerations include the potential shift towards nuclear energy, adoption of liquid cooling solutions for data centers, and exploration of quantum computing technologies. These innovative approaches underscore the industry's commitment to enhancing efficiency and sustainability in the digital era. #DataCenters #AIRevolution #TechTrends #Energy #AI #Technology Rajeeb Hazra Giampiero Frisio Eric Schmidt

?? Transforming the Future of AI: Project Stargate In an unprecedented move, Project Stargate has emerged as a $500 billion initiative designed to advance AI infrastructure in the U.S. Led by innovative giants such as OpenAI and SoftBank, this landmark project is set to construct 20 massive data centers aimed at cementing U.S. leadership in AI technology while delivering substantial global economic benefits. Key Insights: Immediate Investment: The project will kick off with $100 billion, paving the way for groundbreaking advancements within just four years. Job Creation: Stargate is expected to generate hundreds of thousands of jobs, fostering economic growth across various sectors including semiconductors and networking. Sustainable Innovations: By incorporating next-gen nuclear reactors and innovative energy solutions, Stargate will address the immense power demands of its data centers while prioritizing sustainable practices. At Addval Solutions, we're excited about the transformative potential of such initiatives and their ripple effects across industries. What are your thoughts on the impact of such significant investments in AI infrastructure? Join the discussion in the comments below! #AI #TechnologyInnovation #EconomicGrowth #AddvalSolutions P.S. This post was written by an AI assistant.

The US obsession with "beating China" in AI might backfire. Could collaboration offer more value and safety? The competitive approach toward AI is based on potential future conflicts and military concerns. But this ignores the benefits emerging from research cooperation. Half of top AI researchers were born or educated in China. Restricting collaboration could harm global AI progress and safety. A combined effort, like CERN for AI, could deliver better outcomes. (CERN, the European Organization for Nuclear Research, is an international organization that operates the world's largest particle physics laboratory.) Working together would develop common safety standards and address misuse. This approach avoids the risks of isolated AI development. Consider the impact of collaboration on peace and innovation. Is the pursuit of competition worth the potential risks? Share your thoughts in the comments below.

9 ways AI is advancing science ?? Cracking the 50-year “grand challenge” of protein structure prediction ?? Showing the human brain in unprecedented detail, to support health research ?? Saving lives with accurate flood forecasting ?? Spotting wildfires earlier to help firefighters stop them faster ? Predicting weather faster and with more accuracy ?? Advancing the frontier of mathematical reasoning ?? Using quantum computing to accurately predict chemical reactivity and kinetics ??Accelerating materials science and the potential for more sustainable solar cells, batteries and superconductors ? Taking a meaningful step toward nuclear fusion — and abundant clean energy #Tech4Good #ClimateCrisis https://lnkd.in/eaPv6rfC

Every informed person knows that Nuclear Physics has massive benefits as well as devastating negative effects. But it seems people can't see AI also shares similar properties, and new AI technologies should be critically analyzed and regulated before they're released for public use. Is AI dumbing down the intelligence of people? The people and governments can't even allow scientists to design tech applying the knowledge of Nuclear Physics and release such to the public without regulating it. Why is AI technology given a special privilege? Purely profit-driven AI enterprises and unregulated release of AI technology into markets are a big threat to the human race.

Learning a lot from the "Empowering a Sustainable Future: AI's Role in Aiding the Energy Revolution" panel at AI Horizons Summit. - Exciting to hear about the potential for the transition of coal fire power plants to nuclear - Hearing how AI might be able to help determine where the best locations are to site clean energy investments -AI might be able to help address the workforce training needs of the energy industry which sees a huge wave of retirements coming in the next 5 to 7 years. -Some companies are now entering agreements to use non-potable to limit their water use in running data centers that support AI -Novel technologies could be used to create a more optimal grid - the challenges will be less about technology and more about the decisions people make using policy levers Huge thank you to the very knowledgeable panelists - CMU Scott Institute for Energy Innovation's Valerie Karplus, David Bromberg, Anthony Matarazzo and Jessica Yllemo