Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

SAN FRANCISCO – Weather intelligence startup Tomorrow.io unveiled DeepSky, a satellite constellation designed to refine atmospheric forecasts by gathering the vast quantities of data needed to feed ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Abstract: Crime is a widespread problem that upsets social harmony and presents serious difficulties for law enforcement. Effective crime prevention and resource allocation depend on an understanding ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

Abstract: We propose a novel method for the efficient and accurate iterative solution of frequency domain integral equations (IEs) used for large/multi-scale electromagnetic scattering problems. The ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...