Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

Recursive Self-Improvement is the Human Skill We Need in the AI Age

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

AI teaches asset traders not to sweat the small stuff

Financial markets are governed by a combination of rational and irrational forces, statistical probabilities and "animal ...
NDTV

Harvard Announces 6 Free Online Courses In AI, Web Development, Programming, Details Here

Harvard Free Online Courses: Harvard University is offering a range of free online courses for learners interested in artificial intelligence, data science, and programming. These self-paced and ...
IEEE

DHS-AE: A Distributed Support Vector Machine With Adaptive Regularization Parameters for Different Data Distributions

Abstract: In distributed machine learning scenarios, the difference in data distribution among different nodes is a key issue that cannot be ignored. However, existing methods make it difficult to ...
Scientific Research Publishing

Belkin, M., Niyogi, P. and Sindhwani, V. (2006) Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...