The tech tool has been subject to criticism and controversy since being launched by the department five years ago.
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 ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
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 ...
Tech Xplore on MSN
Misleading text in the physical world can hijack AI-enabled robots, cybersecurity study shows
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI ...
Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...
In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
Six months ago I lost my job. I was an amicably divorced father of four with a £100,000 position at a tech company when I was ...
14hon MSNOpinion
The local SEO gatekeeper: How Google defines your entity
Google won’t rank what it can’t confidently identify. See how business names and primary categories determine local search ...
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 ...
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