Opinion
Tech Xplore on MSNOpinion
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 ...
Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper ...
Explore how AI frameworks are reshaping enterprise innovation in 2026, enabling scalable solutions, faster decision-making, ...
Tech Xplore on MSN
Making big tech algorithms 'fair' is harder than it looks
Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
Vivienne Ming, a UC San Diego alumna and longtime machine learning researcher, argues in her new book, “Robot-Proof,” that ...
The music industry is in the grip of an intensifying debate over how AI-generated derivatives of existing music should be ...
At the 2026 BiOS conference in San Francisco, researchers presented a biosensing platform aimed at improving how living cells and tissues are monitored during drug bioprocessing. Known as TissueSense, ...
Overview Mira Murati has moved from leading core products like ChatGPT at OpenAI to building a Thinking Machines Lab.Sophia ...
Where are the orcas at? Answering that question with pinpoint accuracy is crucial to protecting the famed “southern resident” ...
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