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.

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate ...

Brex reports strategies to boost approval chances for business credit cards, emphasizing strong credit profiles, financial organization, and choosing the right card type.

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

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 ...

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

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 ...

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 ...