Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

The Future of Intelligent, Autonomous Systems - IT News Africa | Business Technology, Telecoms and Startup News ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Following the mass abductions of students from schools in Niger and Kebbi states , and other parts of the country, the federal government and some state governments late last year ordered a shutdown ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

The appointment of Yao Shunyu is a statement that the next phase of AI competition will be on systems—agents that are ...

LimX Dynamics unveils COSA, a humanoid robot OS built for real-world autonomy, enabling robots to perceive, reason, and act ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Hydrogels are among the most widely studied biomaterials in modern drug delivery research. Their high hydrophilicity, ...