Teaching machines to design molecular switches

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite.

Simulations and experiments meet: Machine learning predicts gold nanocluster structures

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

TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
GEN - Genetic Engineering and Biotechnology News

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.
Interesting Engineering

Testing living neurons as a computing substrate

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...
Amazon Press Center

Fundamental Announces $255M in Funding and Publicly Launches its Most Powerful Large Tabular Model (LTM)

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...