Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
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Is artificial general intelligence already here? A new case that today's LLMs meet key tests
Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...
Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...
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'Discovery learning' AI tool predicts battery cycle life with just a few days' data
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...
As artificial intelligence (AI) evolves beyond generative chat systems into agentic AI capable of autonomous action, a ...
The Stellar P3E is the first automotive microcontroller to ship with ST’s Neural-ART Accelerator. It offers a 20x to 30x improvement in inference operations compared to a similar MCU without a ...
A new report finds that of 154 specific claims about how AI will benefit the climate, just a quarter cited academic research. A third included no evidence at all.
A 'learner,' 'interpreter' and 'oracle' work together with minimal experiments to draw parallels between historical data and new battery designs A ...
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