As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand across many fields.

Although generative language models have found little widespread, profitable adoption outside of putting artists out of work and giving tech companies an easy scapegoat for cutting staff, their ...

March 27, 2026 - In a major step towards strengthening industry-academia collaboration in India, HCL GUVI has partnered with Maharishi Mahesh Yogi Ramayan University to launch industry-oriented ...

Google and Apple are battling for AI dominance as Gemini expands and Siri opens up. A new breakthrough could make AI faster ...

AdamW: A standard optimizer used to train deep learning models. Muon: A newer optimizer that Netflix found performs better ...

ThreatsDay Bulletin covers stealthy attack trends, evolving phishing tactics, supply chain risks, and how familiar tools are ...

The ability to automate the discovery process in some areas of scientific inquiry raises unanswered questions about how ...

Quantum computing is moving fast, and by 2026, knowing about quantum programming languages will be a big deal. It’s not just ...

Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...

Bring out your dead” may be Monty Python’s medieval call, but counting them is still modern and often messy. Death ...

Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...