Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Magnetic sensors quietly underpin everything from smartphone compasses to the stability systems that keep electric vehicles on the road, and the race to make them smaller, faster and more sensitive is ...

At ELRIG 2025 in Stevenage, AstraZeneca’s Global Leader for Flow Cytometry, Dr Raffaello Cimbro, outlined how imaging flow ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

These tips demonstrate that planning for active learning experiences doesn’t have to be time-intensive or difficult.

New technologies are complicating efforts to teach the scrolling generation to think critically and defensively online.