Tech Xplore on MSN
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 ...
From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...
The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...
Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...
Opinion
1don MSNOpinion
Everyone Says Proptech Is Revolutionary — So Why Does Real Estate Still Look the Same?
Proptech promised disruption but delivered prettier middlemen. The next revolution won't be digital; it'll be honest.
The Walrus on MSN
When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real?
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
Almost five million people in Australia fall ill each year from unsafe or contaminated food. Australian technology is helping ...
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