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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 ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial ...
One hacked AI agent took down 50 others, proving that agentic AI needs a “DNS for trust” before autonomy turns into chaos.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Larian Studios will no longer be using any AI or machine learning tools for concept art of writing in the upcoming 'Divinity' ...
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 ...
We have built financial systems that exceed human comprehension, then dressed them in the language of transparency. The ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
News-Medical.Net on MSN
Orphan noncoding RNAs define cancer identity and enable blood-based monitoring
We knew we had something interesting with T3p, a single small RNA found in breast cancer but absent from normal tissue. After being described in 2018, this molecule took our team on a six-year journey ...
Sparkli has raised a $5 million pre-seed round to develop a new kind of learning platform designed specifically for children aged five to twelve. Founded by former Google Area 120, YouTube, and Search ...
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