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 ...
A massive transformation is changing how we work, innovate, and compete, as generative AI, agentic AI, quantum computing, and ...
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 ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper ...
SAN FRANCISCO, CA - April 24, 2026 - PRESSADVANTAGE - Hyper3D, the 3D generative AI platform developed by Deemos, was ...
The Cyprus Chamber of Commerce and Industry (Keve) has announced a training seminar on generative artificial intelligence ...
A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...
Today, ComfyUI announced a $30 million financing at a $500 million valuation, bringing total funding to $48 million. The round wa ...
A new philosophical study argues that the rapid advancement of generative AI is less a technological threat in isolation and more a mirror reflecting a growing erosion of genuine human creativity, ...
Hvakr provides further evidence that discipline-specific AI is landing in engineering software faster than it is in ...
In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.
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