New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) ...

Market-adjusted credit metrics and sector comparisons support a preference for PMT's baby bonds over other instruments. Click here for a detailed analysis.

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

Abstract: Structural health monitoring using ultrasonic guided waves has been widely applied to carbon fiber reinforced plastics (CFRP) for data-driven damage detection. However, acquiring monitoring ...

South African mobile network operator Cell C has experienced a significant data breach, with the hacking group RansomHouse claiming responsibility for the unauthorized access and release of ...