Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Funding is provided via the China Scholarship Council. Available to Chinese applicants only. Applicant required to start in September 2025. The studentship arrangement will cover overseas tuition fees ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

Funding is provided via the China Scholarship Council. Available to Chinese applicants only. Applicant required to start in September 2025. The studentship arrangement will cover overseas tuition fees ...

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate ...

Santa Clara, Aug. 08, 2025 (GLOBE NEWSWIRE) -- The field of artificial intelligence is undergoing a significant transformation with the rise of hybrid AI systems that combine neural networks with ...