Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

Boris Kiefer, New Mexico State University physics professor, is a co-principal investigator on a project to turn fundamental quantum science into practical technologies that could ...

A semiconductor device generates unforgeable watermarks from chaotic electron behavior, embedding invisible markers in images ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

Brex reports strategies to boost approval chances for business credit cards, emphasizing strong credit profiles, financial ...

Kioxia has begun shipping samples of a new UFS 4.1 embedded flash memory family that uses QLC NAND, aiming to push higher storage capacities into mobile devices without demanding more board space.

John Martinis has already revolutionised quantum computing twice. Now, he is working on another radical rethink of the technology that could deliver machines with unrivalled capabilities ...

An executive came for a career talk and few students showed up. That's not apathy. It's a probability problem — and it's ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...