Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
A breakthrough study published in npj Aging just introduced a refreshing alternative: a urinary microRNA aging clock. By ...
AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...
Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...
With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...
17hon MSNOpinion
The History That Suggests an AI Bubble
The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...
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