Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Precision Skills Assessments give revenue teams an objective picture of how sellers perform in key moments that affect buying decisions. Competency-Based Skills Training then turns those insights into ...

Independent analysis explains why episodic leadership training fails to sustain behavioral consistency and introduces an ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

Looking for a pup who can keep up? The smartest dog breeds are quick learners, great problem-solvers, and full of personality ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Scale AI, Surge AI, and the billion-dollar gig-work industry shaping everything from chatbots to self-driving cars ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

This video explains how to train dogs to stay engaged and responsive during everyday interactions. Engagement is presented as the foundation for learning, not a byproduct of commands. Trainers break ...