When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short mission durations and the length of time ...
Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
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