Alex Shipps
- 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
Latest articles
With a feel for physics, AI models simulate a wider range of real-world scenarios (opens the original)
Read excerpt
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
AI agents create virtual playgrounds to help robots get crucial training data (opens the original)
Read excerpt
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
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
Top 500K sites
For MIT - Materials Science, the outlet · Measured Aug 1, 2026
Website popularity band, not a count of readers or article views.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.