The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

Cloudflare's evolution into a 'connectivity cloud' creates a unique, programmable global edge network, driving durable growth ...

Goal-Feedback-Result (GFR) pattern is widely used for the communication of multiple tasks processing and distributed control systems based on Robotics Operation System(ROS). With the more sensor ...

This article addresses the containment control problem of multiagent systems under directed topologies, where the model of each agent is an unknown nonlinear nonaffine pure-feedback dynamic, and at ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Artificial intelligence (AI) is infamous for its resource-heavy training, but a new study may have found a solution in a novel communications system, called ZEN, that markedly improves the way large ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Creating a culture where feedback flows openly and constructively is essential to employee growth and organizational health. But giving and receiving feedback in a way that’s both timely and helpful, ...

A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

Background Chronic inflammation and elevated reactive oxygen species are key contributors to hepatocellular carcinoma (HCC) ...