How artificial neural networks build their own learning machinery

As artificial intelligence becomes more and more powerful, its ability to handle human-like tasks is undeniable. Artificial neural networks can learn to recognize images, use language, or write computer code. Like the brain’s circuits, they reorganize themselves as they learn, adjusting the strengths of their connections to improve their performance. The question for many neuroscientists…

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Documenting the tech worker movement

Despite the “dot-com crash” in 2000, the tech industry remained an attractive career destination for many who believed technology represented the future. The digital age — defined by global connectivity and computers — had firmly taken hold, and over time, the tech industry emerged as a dominant force in the labor market. High-paying jobs for…

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MIT Lincoln Laboratory hosts National Security Commission on Emerging Biotechnology

MIT Lincoln Laboratory hosted the National Security Commission on Emerging Biotechnology (NSCEB) on Sept. 3, for a stop on its national roadshow. The event convened representatives of state organizations, defense centers, universities, technology companies, and business executives to discuss how Massachusetts’ biotechnology ecosystem can strengthen national biodefense capabilities. “We have a lot to leverage in this…

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Bipartisan Robotics Panel Warns of Widening U.S. Deployment Gap With China

The National Security Commission on Robotics for Advanced Manufacturing, a bipartisan initiative of the Special Competitive Studies Project, released its 90-page Preliminary Report on October 13, 2026. The commission’s central finding: the United States leads in the technologies that form the brain of modern robotics, including artificial intelligence, computer vision, autonomy and software, yet lacks…

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3 Questions: What is the best path forward for AI in academia?

With artificial intelligence capabilities continuing to expand, universities now face complex, urgent questions about how to navigate increasing challenges, as well as new opportunities. Much attention is now directed toward this, including an MIT report on AI and education published this summer.  A new essay from MIT Statistics and Data Science Center Director Sasha Rakhlin, the Distinguished…

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Arena Physica Brings Heaviside EM Model to Microsoft Discovery

Arena Physica said in an October 13, 2026 announcement that Heaviside, its foundation model for electromagnetism, is now available on Microsoft Discovery, which the announcement describes as Microsoft’s platform for agentic engineering. According to the company, the model predicts full 3D electromagnetic field responses in milliseconds, roughly 100,000 times faster than a traditional solver. The…

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