理论的突破最终要走向落地，章天任博士的这项前沿研究，直接为千诀科技机器人大脑产品的演进指明了方向，有望打造出 真正“知行合一”的智能体 ——拥有世界模型的机器人不仅具备强大的 泛化与适应能力 ，还能够进行 高效学习 ，更能够进行 因果推理 ，做出 ...

Our brains do not react in a fixed, mechanical way like electronic circuits. Even if we see the same scene every day on our commute to work, what we feel - and whether it leaves a lasting impression - ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

"The papers and data we've presented at the November IEEE conference show how Verseon's advances in AI produce superior results in life-science applications," said Verseon's Head of AI Ed Ratner. "Our ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

A new study on mice highlights the connection between the female reproductive cycle and brain learning processes, suggesting that estrogen levels can enhance learning abilities through dopamine ...