General robotic models could revolutionize robotics by enhancing adaptability and efficiency across diverse applications.

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural ...

How does artificial intelligence continue to improve its capabilities? For a long time, expanding model size has been regarded as an important way to ...

As compute demand is growing at massive levels amid an intensifying AI race, Anthropic is now reportedly looking into the ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...

Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of traditional methods, ...

Microsoft has published the full session catalog for its Build 2026 developer conference, which will be held in San Francisco ...

Large physics models are increasingly used to bypass simulation ...

Meta on Wednesday unveiled a new flagship artificial intelligence model called Muse Spark, its first under the revamped A.I.

Yes. This case involved a homeschooled student, demonstrating that structured, evidence-based reading intervention can be effectively implemented outside of traditional school settings with consistent ...

Tesla's FSD v14.3 is rolling out with an MLIR-based AI compiler rewrite Tesla claims delivers 20% faster reaction time. Full ...

Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...