Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
Federated Learning 2 Authors, Creators & Presenters: Cheng Zhang (Hunan University), Yang Xu (Hunan University), Jianghao Tan (Hunan University), Jiajie An (Hunan University), Wenqiang Jin (Hunan ...
Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...
Abstract The disruptions of 2025 revealed a structural vulnerability that many enterprises had overlooked. Workforce systems responsible for identity, ...
Indian inventor Vatsal Soin has recently filed patent US 19/489,595, India 202511115781, and corresponding PCT applications for the "0→1 Doctrine" — a universal alignment framework that translates ...
Divyaraj Singh Jatav is a doctoral researcher and AI systems professional based in the United States. His work spans IEEE-published research, patented innovations, and enterprise-scale analytics ...
As AI Reshapes Work, the New Global Benchmark Reveals Accelerating Ambition and Persistent Readiness Gaps in Learning ...
Mayo Clinic has about 100 petabytes of structured and unstructured EHR data, and about 28 petabytes have been de-identified, but in the Mayo Clinic way. Now that data capability is being combined with ...
As artificial intelligence continues to reshape medicine, finance, governance, and culture, Vijayalaxmi’s contributions offer not only powerful technical solutions but also a principled vision for ...
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