Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

This study addresses endosomal escape in oligonucleotide therapies and how engineered peptides can enhance intracellular drug delivery efficiency.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

IIT Guwahati researchers identify 493 high-risk sites for future glacial lakes in the Eastern Himalayas to enhance disaster ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...