Funding will expand the range of Dualase® genome editors for new high morbidity and mortality genetic disease targets.TORONTO, 2026 /CNW/ - ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

However, maintaining vast rail infrastructure networks has become increasingly complex as aging assets, extreme weather events, and rising traffic volumes place additional strain on tracks and ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

Machine learning is enabling smarter supply chains and frictionless component sourcing for design engineers. The electronics distribution industry is undergoing a quiet revolution, one that’s ...