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Alex Shipps

Reporter · US

Indexed articles, last 90 days
2
Latest publication
Aug 10, 2026
Outlet visibility, for MIT - Materials Science
Top 500K sites
Earliest in this view
Jul 13, 2026
The latest indexed work is over 30 days old. There may be a gap in what we hold.

Latest articles

  1. Article · Aug 10, 2026 · Alex Shipps | MIT CSAIL

    With a feel for physics, AI models simulate a wider range of real-world scenarios (opens the original)

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    Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text. To build an AI system that can reliably simulate a variety of physical scenarios, engineers need a range of physics data at a scale that isn’t yet feasible. That’s because it’s very time-consuming to ge

  2. Article · Jul 13, 2026 · Alex Shipps | MIT CSAIL

    AI agents create virtual playgrounds to help robots get crucial training data (opens the original)

    Excerpt · English

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    Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach these machines so many actions across different settings. “One natural idea is to use simulation as a training ground. While there has b

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