STATESBORO, Ga., Oct. 25, 2024 (GLOBE NEWSWIRE) -- Cemil Emre Yavas and his research team have achieved a remarkable 97.97% accuracy in earthquake prediction for Los Angeles, a high-risk seismic zone, ...
"I wanted to find a way to make farming more efficient and sustainable by reducing manual labor and increasing productivity," ...
In recent years, the application of deep learning techniques for time series prediction has surged, owing to their capacity to grasp intricate temporal patterns. However, their efficacy across various ...
Healthcare AI startup Tennr has secured $37 million in a Series B funding round, just six months after its $18 million Series ...
Notes to the editor Media images can be found here.
Abstract: In the swiftly changing field of supply chain management, effective forecasting is crucial for optimizing ...
The funding will be used for infrastructure and R&D which enables organisations to deploy AI models seamlessly ...
Six different papers in which Tom Hartvigsen and his colleagues are co-authors have been accepted by two of the top conferences in the machine learning and natural language processing fields.
This year’s laureates used tools from physics to construct methods that helped lay the foundation for today’s powerful ...
It looks like the season for upskilling, reskilling, and job-switching, not necessarily in that order. I would say the ...
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback