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 ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...
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 ...
The U.S. Army announced the creation of a data operations center at Aberdeen Proving Ground in an effort to centralize ...
As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...
Profile of Kannan Srinivasan, expert in secure architectures, AI-driven cybersecurity, and scalable cloud ecosystems with 20+ ...
Explore what the current situation in Maine reveals about the future of AI infrastructure, as Neel Somani highlights energy ...
Overview Mira Murati has moved from leading core products like ChatGPT at OpenAI to building a Thinking Machines Lab.Sophia ...
As Bharat goes digital on its own terms, brands face a new reality: loyalty is functional, trust is earned in use, and ...
Supply chain risk conversations tend to focus on the obvious categories. Companies talk about tariffs, geopolitical disruption, single-source dependencies, and logistics bottlenecks. Far less ...
The location in East Rutherford makes Big SNOW accessible from pretty much anywhere in northern New Jersey, and it’s an easy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results