Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...
For roughly a decade, Microsoft has been perfecting a high-density storage technology that uses glass, lasers, and cameras, ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
What Chief AI Officers actually do, where they sit in the C-suite, and how to build the credibility and strategic depth to ...
3don MSNOpinion
The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...
A Microsoft Research study suggests glass blocks etched with lasers could provide enduring data archives ...
News-Medical.Net on MSN
MULTI-evolve accelerates protein engineering with machine learning
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.
A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.
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