In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

TonyPi AI humanoid robot brings Raspberry Pi 5 vision, voice control, and multimodal model integration to an 18-DOF education ...

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

Air travel can be stressful for many reasons. While there are ways to make the ordeal easier, there are some things you just ...

This study used deep neural networks (DNN) to reconstruct voice information (viz., speaker identity), from fMRI responses in the auditory cortex and temporal voice areas, and assessed the ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...