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Novel AI model inspired by neural dynamics from the brain
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data. AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends, biological signals, or financial data. One new type of AI model, called "state-space models," has been designed specifically to understand these sequential patterns more effectively. However, existing state-space models often face challenges ' they can become unstable or require a significant amount of computational resources when processing long data sequences. To address these issues, CSAIL researchers T. Konstantin Rusch and Daniela Rus have developed what they call 'linear oscillatory state-space models' (LinOSS), which leverage principles of forced harmonic oscillators ' a concept deeply rooted in physics and observed in biological neural networks. This approach provides stable, expressive, and computationally efficient predictions without overly restrictive conditions on the model parameters....
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The Missing Part of Trump's Minerals Math
Resources have always determined power. The British empire's command over coal helped expand the realm to the ends of the earth. The United States entered World War II as a dominant oil power and for decades consolidated control over global supply. This century, power could be built on batteries, solar panels, and artificial intelligence. And China has a grip on the minerals'rare-earth elements, lithium, graphite'needed to make them. Both parties in Washington seem to agree that breaking Beijing's near monopoly over such materials would benefit the United States. 'Our national and economic security are now acutely threatened by our reliance upon hostile foreign powers' mineral production,' President Donald Trump wrote in an executive order in March designed to speed up permitting for mineral production. The administration has already green-lighted a new rare-earths mine in California next to the only active one in the United States, and today added 10 more mines to a list of projects whose permits the federal government is fast-tracking. It has also proposed flashy and controversial ideas to secure America's supply of minerals, including seizing dubiously accessible deposits in Ukraine and Greenland, clearing the way for creating the first mines on the deep-ocean floor, and investing federal money directly in U.S. mining companies....
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DOGE Is in Its AI Era
Elon Musk's so-called Department of Government Efficiency (DOGE) operates on a core underlying assumption: The United States should be run like a startup. So far, that has mostly meant chaotic firings and an eagerness to steamroll regulations. But no pitch deck in 2025 is complete without an overdose of artificial intelligence, and DOGE is no different. AI itself doesn't reflexively deserve pitchforks. It has genuine uses and can create genuine efficiencies. It is not inherently untoward to introduce AI into a workflow, especially if you're aware of and able to manage around its limitations. It's not clear, though, that DOGE has embraced any of that nuance. If you have a hammer, everything looks like a nail; if you have the most access to the most sensitive data in the country, everything looks like an input. Wherever DOGE has gone, AI has been in tow. Given the opacity of the organization, a lot remains unknown about how exactly it's being used and where. But two revelations this week show just how extensive'and potentially misguided'DOGE's AI aspirations are....
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A DOGE Recruiter Is Staffing a Project to Deploy AI Agents Across the US Government
A young entrepreneur who was among the earliest known recruiters for Elon Musk's so-called Department of Government Efficiency (DOGE) has a new, related gig'and he's hiring. Anthony Jancso, cofounder of AccelerateX, a government tech startup, is looking for technologists to work on a project that aims to have artificial intelligence perform tasks that are currently the responsibility of tens of thousands of federal workers. Jancso, a former Palantir employee, wrote in a Slack with about 2000 Palantir alumni in it that he's hiring for a 'DOGE orthogonal project to design benchmarks and deploy AI agents across live workflows in federal agencies,' according to an April 21 post reviewed by WIRED. Agents are programs that can perform work autonomously. 'We've identified over 300 roles with almost full-process standardization, freeing up at least 70k FTEs for higher-impact work over the next year,' he continued, essentially claiming that tens of thousands of federal employees could see many aspects of their job automated and replaced by these AI agents. Workers for the project, he wrote, would be based on site in Washington, DC, and would not require a security clearance; it isn't clear for whom they would work. Palantir did not respond to requests for comment....
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