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Modern Engineering Marvels on MSN1d
Pentagon’s $200M Grok Deal: Can Explainable AI Contain Toxic Bias in National Security?This supercharging of extremist rhetoric will only amplify and encourage the antisemitism that is already surging on X and ...
Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...
Opinion
14hOpinion
Retail Banker International on MSNAI in global finance: How to navigate continental visions and fragmented strategies?Jamil Jiva argues that a “glocal” approach is essential for global institutions to remain compliant and competitive and explains how leaders can turn fragmented strategies into an opportunity for ...
1d
News-Medical.Net on MSNAI model accurately detects breast cancer on MRI scansAn AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...
An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...
Explainability is now a requirement for institutions deploying AI in financial crime compliance. It supports better ...
5d
News-Medical.Net on MSNExplainable AI helps decode the substrate specificity of γ-secretase enzymeUsing artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental ...
Asset managers have embraced web scraping as a cornerstone of contemporary alpha generation, with the industry spending more than $2 billion annually to extract alternative data.
The new hub for aligning artificial intelligence tech with ethical frameworks already has several key initiatives underway, ...
AI is vying for circuit and embedded-system design jobs, but in 2025, it still requires a seasoned engineer to ride shotgun.
The study calls for a paradigm shift in how AI financial forecasting models are evaluated. Instead of relying solely on ...
Using artificial intelligence, researchers show how γ-secretase recognizes substrates – an important advance for fundamental and translational research.
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