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

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

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

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 ...

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

Overview AI wearables in India are rapidly evolving from basic fitness trackers to intelligent personal assistants for health ...

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...

Governments across the world want AI to do more of the heavy lifting when it comes to public services. The plan is apparently ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

When artificial intelligence fails, it rarely does so because of flawed algorithms. The real fault line lies upstream, in ...