It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
Tech Xplore on MSN
A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Upstart's (UPST) shares have had a rough couple of months since last summer, diving from over $80 down to the $30 range today. I last covered the company about 1.5 years ago after a positive earnings ...
Across Africa and other regions with large undocumented populations, the lack of official identity papers is a major barrier to accessing medical treatment.
Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
US technology firm Anthropic has found itself at the center of a growing international controversy following reports that its ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Tech Xplore on MSN
Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Interesting Engineering on MSN
Anthropic says DeepSeek, other Chinese AI firms scraped Claude to train rival models
Anthropic has accused three major Chinese AI firms of using fraudulent accounts to extract ...
News-Medical.Net on MSN
MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
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