Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

Molecular interactions are central to numerous challenges in chemistry and the life sciences. Whether in solute–solvent dissolution, adverse ...

Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

A Liquid Neural Network (LNN) is a new type of artificial intelligence model that can continuously learn and adapt in real time — even after it’s been deployed, much like how the human brain learns ...

AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

ADHD diagnosis currently relies on behavioral tests and patient interviews – could biomarkers offer a more accurate and ...

Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...

How far, and for how long, a robot can navigate depends on how much power it consumes over time. Robot navigation systems are ...

XR goggles and puck devices Gaming is one of the first applications for extended reality (XR), virtual reality (VR), and ...

Despite the company's name, OpenAI hasn't dropped an open version of its AI models since GPT-2 in 2019. That changed on Tuesday, as CEO Sam Altman shared two new open-weights, reasoning AI models, ...

The MulfinTradeAi App is setting a new benchmark for automated trading in raw materials and global equity markets. With advanced machine learning algorithms and predictive analytics, the platform ...