RelationalAI beefs up its reasoning capabilities to enhance AI agent decision-making

To support its positioning as a system of intelligence, RelationalAI has become a launch partner of the new Open Semantic ...
TMCnet

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology ...
IEEE

Dynamically Feasible Trajectory Generation With Optimization-Embedded Networks for Autonomous Flight

Abstract: This paper aims to bridge perception and planning in navigation systems by learning optimal trajectories from depth information in an end-to-end fashion. However, using neural networks as ...
Tech Times

Xanadu Cuts Quantum Algorithm Overhead in Half: QROM Fix Runs Now in PennyLane

Toronto-based Xanadu Quantum Technologies published a new algorithmic optimization on May 21 that halves the Toffoli gate ...
XDA Developers on MSN

Nvidia's new VRAM trick sounds great, until you realize your RTX card can't even use it

Nvidia's NTC works well, but only on its latest graphics cards ...
Hosted on MSN

Could all of math be reduced to a single operation? This theoretical physicist says yes, and he's found it

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University has well and truly bucked the trend. Why? Because it seems to reduce all of ...
IEEE

Evolutionary Multiobjective Neural Architecture Search for Binary Neural Networks by Two-Stage Optimization

Abstract: Binary neural networks (BNNs) have been applied in limited resources and mobile devices because of their extreme model compression ability. However, manually designing suitable architectures ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Frontiers

Spiking neural networks for EEG signal analysis using wavelet transform

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...