Opinion
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...
The University of Arizona is developing “smart bandages” to detect infections after surgeries — technology that could also ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...
The Brighterside of News on MSN
Generative AI increases risks of cyberattacks and data leaks
Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...
AI notetakers are everywhere. The conversation about whether and how to use them – from consent obligations and confidentiality risks to ...
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