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 ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Tech Xplore on MSN
How do we make sure AI is fair, safe, and secure?
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...
Interesting Engineering on MSN
Here’s how thermal camera armed drones and AI protect the power grid
In our latest episode of Lexicon, we sat down with Vikhyat (“Vik”) Chaudhry, co-founder ...
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
At their core, refrigerators are relatively simple devices. If you're the type of person to view every extra feature as a ...
Scientists in Belgium—that celebrated bastion of ancient beer culture—are harnessing genetic breakthroughs and machine learning to reimagine how great booze gets built. Here’s how their revelations in ...
Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results