Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
Founded by MIT-Trained Scientists, Biotech Startup Advances Predictive AI to Improve Human Safety Assessment, Reduce Costly ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...
12d
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...
Abstract: Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
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