Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

AIoT (Artificial Intelligence of Things) systems are capable of learning in real time, performing autonomous actions, ...

AlignBase recently closed an angel funding round, raising more than RMB 100 million (USD 14 million) from a slate of ...

AI shifts from promise to practice when customization becomes routine. That is a positive sign. When technical teams work with data as it is, measure progress with discipline, and focus on workflows ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Roboticist Karen Liu combines machine learning and animation to teach robots to move and respond more like humans.

Yet, here comes another model family worth consideration: Meituan, a Chinese food delivery and e-commerce app, attracted the ...

Cloud-native architectures bring speed and scalability but also create new risks beyond traditional workloads. Misconfigured ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

"Regardless of whether or not you are at fault, [the AI] will mirror your energy, providing additional rationale for why you ...

As AI and robotics evolve, intelligent machines are expected to become increasingly integrated into daily life, reshaping both digital and physical economies. Alibaba and JD are positioning themselves ...