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 ...
Banks are deploying autonomous AI agents with transactional authority. The risk framework meant to govern them was just ...
In modern building operations, Generative AI functions as an integrated layer within the broader tech stack to drive tangible ...
The generative AI market in insurance is growing rapidly, driven by automation, improved data analysis, and personalized services. Key opportunities lie in document analysis, risk assessment, and ...
Key opportunities in the Generative AI in Oil & Gas market include enhancing operational efficiency and reducing costs ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper ...
Michelle Tarver said the device center plans to finalize guidance on AI lifecycle management and provide some initial ...
A new survey finds adoption among organizations is surging, but scaling it effectively remains a work in progress.
Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...
A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and ...
The Spence Award recipient answered a few questions about his research on the interactions between human psychology and ...
Grok AI is under investigation across several countries for it's ability to generate sexually explicit images using the ...
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