Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
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Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
The time to stake your claim is before the crowd is talking about it.
Familiar Super Bowl foes meet when the Seattle Seahawks battle the New England Patriots in Super Bowl LX on Sunday. Kickoff ...
That uncertainty surfaced in real life in 2022, when Google engineer Blake Lemoine became convinced that the company’s LaMDA ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
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