mlbwhf@yahoo.com The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.
Source: MIT News – Artificial intelligence
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In May, an anonymous artist who goes by SHL0MS on X posted that he had used AI to generate an image inspired by Claude Monet and asked people to weigh in on how it missed the mark. More than 600 responses called out issues, saying…
Source: IEEE Spectrum
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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Your family’s $300 stake in OpenAI Sam Altman’s proposal that Americans should share in the wealth created by AI is back…
Source: MIT Technology Review
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With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into…
Source: MIT Technology Review
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Anthony Agueda, a third-generation California dairy farmer, pulls a rake through a bed of dark, wet wood chips on his family’s land in Hickman, a tiny town in the state’s agricultural heartland. He reaches down with both hands and pulls up a clump of muck,…
Source: MIT Technology Review
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… government of the people, by the people, for the people … — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers…
Source: The Berkeley Artificial Intelligence Research Blog
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We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
Source: AI
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arXiv:2607.00955v2 Announce Type: replace-cross Abstract: Implicit neural representations (INRs) are well suited to cardiac motion estimation, providing continuous, compact representations of motion fields. However, fitting an INR to each image sequence is time-consuming and sensitive to the optimisation trajectory. Learned priors can help guide optimisation…
Source: cs.AI updates on arXiv.org
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arXiv:2603.23433v3 Announce Type: replace Abstract: AI agents are becoming active decision-makers on the Internet. As they make decisions in the same environments as humans, the environments themselves can change to influence them. We call this $textit{mecha-nudging}$: changes to how choices are presented that systematically influence…
Source: cs.AI updates on arXiv.org
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arXiv:2607.05382v1 Announce Type: cross Abstract: Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending entities, post-cutoff events, and more. This world-knowledge bottleneck is structural: generators are trained on fixed…
Source: cs.AI updates on arXiv.org
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