The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

How can AI stabilize the power grid? New research uses biomimetic neural networks to manage the uncertainty of solar and wind energy, reducing hardware costs and preventing blackouts.

CNS toxicity remains one of the leading causes of failure in drug development, yet it is rarely detected in preclinical ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

How does the brain create mental images? A new study reveals that visual imagination and perception share a common neural code.

Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized ...

ElevenLabs' AI audio models are set to revolutionize business communication with human-like speech synthesis. Audio models ...

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...