In 2026, AI research is moving beyond raw scaling to focus on efficiency, adaptability, and operational robustness. Advances in architectures, benchmarks, and conferences reflect a growing emphasis on ...

An AI-powered blood test that analyzes DNA fragments could detect silent liver disease long before symptoms begin.

Google plans an AlphaEvolve rollout through Google Cloud after showing gains in TPU design, Spanner efficiency, genomics, ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

Google has unvelied a new generation of Tensor Processing Units (TPUs), featuring two specialized chips designed to ...

Automated machine learning is being used to build a digital twin of complex networks, saving hours compared to traditional ...

In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development. Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in ...

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

Machine Learning (ML) is a subset of Artificial Intelligence that allows computers to “learn” from data. Ordinarily, in programming, we provide data and the expected output, and the machine does the ...

NEW YORK, Jan 30 (Reuters) - SpaceX revised its Starlink privacy policy to allow the use of customer data for AI training, a shift that could bolster Elon Musk's AI ambitions. Ahead of a blockbuster ...

Global public health is formidably threatened by antimicrobial resistance (AMR). Antimicrobial susceptibility testing (AST) is characterized by its long duration. Matrix-assisted laser ...

Starlink recently updated its Privacy Policy to explicitly allow it to share personal customer data with companies to train AI models. This appears to have been done ...