As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...
Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Power plant operators continually search for ways to make electricity production and transmission more efficient. With more generation sources coming online, the use of artificial intelligence and ...
If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google is ...
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
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