MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

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

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

You scroll through your streaming service for what feels like hours, seeing the same recommendations over and over again.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

This moment of revelation is common to many people who don’t form mental images. They report that they might never have ...

From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...

Résumé screeners, keyword-matching tools, AI-assisted video interviews are filtering applicants. For job seekers, the challenge is about learning how to pass digital gatekeepers ...

I suppose one day the Shop-Vac Corporation might install a TV screen inside a dust collector, but until then we're going to ...

The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...