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

Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...

One of the world’s top artificial intelligence researchers, who works in New Brunswick, is optimistic about what the future could bring with advancements of the technology, but Moulay Akhloufi urges ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...

TrueFoundry launches TrueFailover, an AI failover system that automatically reroutes enterprise traffic to backup models when ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

SolarRock Technologies founder Edidiong Mbong seeks pre-seed funding to deploy AI and machine learning to solve challenges in ...