Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve ...

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

Yann LeCun ’s AI startup Advanced Machine Intelligence (AMI) has raised $1.03 billion as it seeks to build AI that can ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

Artificial intelligence is rapidly inventing new drugs for diseases from Parkinson's disease and antibiotic-resistant superbugs to rare lung conditions.

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...

Leaders love AI because it makes knowledge instantly reusable—drafts, code, analysis on demand. A recent study uses a formal model to show what happens when “good-enough” answers become essentially ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...