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 safely and efficiently using a Transformer model.

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 ...

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 ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

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.

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

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 ...

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