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

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...

The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

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 ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

The fast evolution of technology in the areas of Artificial Intelligence (AI), Data Analytics, and cloud computing has changed the way we measure, understand, a ...

Autonomous vehicles have made remarkable progress over the past decade. Driverless cars and buses that once struggled to stay ...