Browsing: AI News & Trends

There was a palpable change in Silicon Valley this week.Over 200 Google and OpenAI employees called on their employers to better define the limits of how AI can be used for military purposes. Explicitly. Loudly. In a private push that Axios’s details, workers made it clear they are increasingly uneasy about how the AI tools they’re developing are being deployed.And honestly? You can see why.AI no longer just helps compose email and produce graphics. It is being talked about in relation to war logistics, surveillance and autonomous weaponry on the battlefield. That’s serious. At least one person who participated in…

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Have you ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they usually don’t sustain everyday use.The underlying problem is that genAI models often lack an understanding of physics. While tools like Microsoft’s TRELLIS system can create a 3D model from a text prompt or image, its design for a chair, for example, may be unstable, or have…

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning.But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle.Researchers from MIT and elsewhere found a way to use this computational downtime to efficiently accelerate reasoning-model training.Their new method automatically trains a smaller, faster model to predict the…

On February 17 at 12 PM EST, we hosted a live session titled From Idea To Production: Building AI Products Fast Without Hiring A Huge Team. In this conversation our experts from Fusemachines, Jeffery Keilholtz (Director of AI Solutions), and Robert Traghetto (VP of AI Services) shared practical insights drawn from real AI delivery experience. The discussion was not about hype, tools, or abstract frameworks. It focused on a question many leaders are facing right now: Why do so many AI initiatives stall between pilot and production? If you joined us live, thank you. If not, here are the key…

Of course, no one who’s been paying any attention to the rapid proliferation of AI throughout the enterprise needs me to tell them that this is far from the typical new-product announcement.We are definitely in the awkward in-between phase where AI can seem like a bit of an uncontrollable animal: very powerful, somewhat unpredictable, and sometimes a little bit reckless.It’s against that background that we find the introduction of the new Agent Commander platform today – a platform that promises not only to identify AI problems, but also to “rollback” AI-based errors.While that’s something we’ve all been used to in…

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about the effects of cancer than measuring gene expression or cell morphology.Where in the cell the information comes from matters. But to capture complete information about the state of the cell, scientists often must conduct many measurements using different techniques and analyze them one at a time. Machine-learning…

Originally from the small Balkan country of Montenegro, Strahinja (Strajo) Janjusevic says his life has unfolded in unexpected ways, for which he is deeply grateful. After graduating from high school, he was selected to represent his country in the United States, studying cyber operations and computer science at the U.S. Naval Academy in Annapolis, Maryland. He has since continued his cybersecurity studies and is currently a second-year master’s student in the Technology and Policy Program (TPP), hosted by the MIT Institute for Data, Systems, and Society (IDSS). His research with the MIT Laboratory for Information and Decision Systems (LIDS) and…