Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

Hong Kong’s regulators are active, coordinated, and increasingly expectations‑driven. Businesses should be prepared for assertive use of ...

Antimicrobial resistance (AMR) remains one of the most serious and urgent global health challenges, which significantly ...

Antimicrobial resistance (AMR) remains one of the most serious and urgent global health challenges, which significantly limits the effectiveness of ...

Ethereum developers are preparing to roll out ERC-8004, a new standard designed to help software agents find each other, prove who they are and decide who to trust when they operate across different ...

The Global Field Force Automation Market presents growth opportunities driven by the need for enhanced operational efficiency ...

AI is quietly rewiring retail trading in India, reducing cognitive load while forcing brokerages, regulators, and investors ...