Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...
Transformer on MSN
Teaching AI to learn
AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?
With the “gym,” Insilico is now targeting other biotech and pharmaceutical companies, offering to train new AI models for ...
Logical Intelligence, an artificial intelligence company developing energy-based (EBM) reasoning systems, today announced that Kona 1.0, its pioneering EBM for reasoning, will enter pilot programs ...
New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation ...
Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...
Generative diffusion models for end-to-end autonomous driving often suffer from mode collapse, tending to generate conservative and homogeneous behaviors. While DiffusionDrive employs predefined ...
Because standards are intentionally conservative for most projects, but new design methods are changing, project-specific design optimization is required to provide safe, cost-effective, and ...
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