In today's rapidly advancing technological era, mathematics is undoubtedly the cornerstone of intelligent systems. From the laws of physics to the core algorithms of artificial intelligence, ...

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Leann Chen explains how knowledge graphs ...

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...

The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...

Recent information from the National Intellectual Property Administration indicates that Beijing Humanoid Robot Innovation Center Co., Ltd. (hereinafter referred to as "Innovation Center") applied for ...

Developers can build intelligent robots with Java, as it provides APIs for programming systems that can see, hear, speak, move, and even learn, using neural networks, which are algorithms that mimic ...