Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The Pioneer Mini 2 is an upgraded version of the entry-level quadcopter from Geoscan’s educational UAV line. In the summer of 2025, Geoscan’s press service reported that the company would begin ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China ...

Abstract: Neuromorphic computing attempts to mimic the neural architecture of human brain by delivering a non vonNeumann hardware which can run even the most complex artificial intelligence algorithms ...

The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...