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Artificial intelligence seen as a force multiplier for research, discovery
ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and accessibility of data sets has now become a structural layer of the scientific method ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Abstract: Adapting pretrained artificial intelligence and machine learning (AI/ML) models for on-device inference across diverse environments is challenging due to the extensive offline data ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
A giant impact on the early Earth could have brought the building blocks of RNA to our planet, which new research suggests ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Disclaimer: This column is merely a guiding voice and provides advice and suggestions on education and careers. The writer is a practising counsellor and a trainer. Send your questions to ...
UB is tapping AI’s incredible power to address global challenges by advancing education, research and outreach.
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
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