Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy The method could accelerate the development of more effective adeno-associated viruses (AAVs) Date ...

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: “With the recent advances in hardware ...

Membership inference is also highly associated with “ overfitting,” an artifact of poor machine learning design and training. An overfitted model performs well on its training examples but ...

OpenAI scientists have designed MLE-bench — a compilation of 75 extremely difficult tests that can assess whether a future ...

Machine intelligence accelerated design of conductive MXene aerogels with programmable properties. Nature Communications, 2024; 15 (1) DOI: 10.1038/s41467-024-49011-8 ...

This model of acetylcholinesterase shows acetylcholine (green) bound to its active site. Sam Pellock, AI tools are helping researchers design new proteins.

To solve these issues, Chen’s team combined robotics, machine-learning algorithms, and material science expertise to enable aerogel design with programmable mechanical and electrical ...

His model, published Saturday in Nature Communications, could automate design processes by leveraging machine learning and collaborative robotics. Similar to water-based gels, but instead made using ...