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6 Guidelines for Governing AI (opens in a new tab)

For the first 10 years of my career, I worked in product management and data analytics by myself. I wrote database queries that pulled numbers out of corporate systems, built statistical models to predict what customers would buy, and shipped data pipelines that moved informatio…

Read at IEEE Spectrum (opens in a new tab)
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Connecting AI agents to enterprise knowledge (opens in a new tab)

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need thi…

Read at MIT Technology Review (opens in a new tab)
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Bringing predictive analytics to the agentic AI era (opens in a new tab)

In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The front…

Read at MIT Technology Review (opens in a new tab)
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People really hate AI, so why can’t they get enough? (opens in a new tab)

Over the summer I talked to the CEO of Springboards, a startup building an LLM that’s designed to come up with a wider variety of responses than its mainstream rivals do. At the start of the call, he said something that’s been stuck in my head since: “We often say that we’re a s…

Read at MIT Technology Review (opens in a new tab)
Image: Alex Shipps/MIT CSAIL, using assets produced by the researchers using generative AI and AdobeStock.
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New tool lets users repair AI-generated 3D models, then fabricate them just the way they want (opens in a new tab)

“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.

Read at MIT News (opens in a new tab)
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This light-powered AI can spot deepfakes with nearly 98% accuracy (opens in a new tab)

UCLA researchers built an AI system that uses light to analyze more than a dozen videos simultaneously, detecting deepfakes with nearly 98% accuracy. Its speed, low energy demands, and resistance to attacks could make it a powerful tool for screening the growing flood of AI-gene…

Read at ScienceDaily (opens in a new tab)
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Unveiling IC-STAR: Full-Flow Autonomy from Digital to Analog (opens in a new tab)

Learn how engineers can shift from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the silicon development lifecycle. Key Takeaways Explore four critical technologies enabling silicon design autonomy Understand how autonomou…

Read at IEEE Spectrum (opens in a new tab)

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