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

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

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 ...

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

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 ...

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 ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

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

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

Overview: Data-related careers are expanding rapidly as businesses rely more heavily on analytics, AI, and automation.Data ...

Robotics are everywhere in manufacturing, from automotives to home appliances. Upholstery is a rare exception—the category’s ...