The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Dr. Vishal Sharma vishal.sharma@fulbrightmail.org Not long ago, the word “Artificial Intelligence (AI)” would bring to mind images of sci-fi robots, self-aware machines, or futuristic cities powered ...

Learn how Apple's on-device AI hardware and future MacBook chips will introduce powerful MacBook AI features, boosting ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Linux has long been the backbone of artificial intelligence, machine learning, and data science. Its open-source foundation, flexibility, and strong developer community make it the preferred operating ...