Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
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 ...
This moment of revelation is common to many people who don’t form mental images. They report that they might never have ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
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 ...
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 have to face the facts: No movie exists in a vacuum. And boy howdy, is that ...
Perel, a renowned psychotherapist, doesn’t really think society can — or should — fall in love with a machine.
The U.S. appraisal industry faces a shrinking workforce, regulatory changes and new tech requirements, impacting housing and lending.
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