The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...

Researchers at the University of Toronto say they have discovered a new cyberthreat – a method of using artificial intelligence to create a dangerous computer worm that can modify its tactics as it ...

User Defined Types (UDTs) are now generally available! As of Power Apps Studio version 3.26044, UDTs are enabled by default for new apps and can be enabled for existing apps under Settings > Updates > ...

In this post, we will show you how to open Computer Management on a Windows 11/10 PC. Computer Management is a powerful application that allows you to access a variety of administrative tools from a ...

Through the looking glass: Apple turned 50 this week as a multi-trillion-dollar platform company built around the iPhone, the most successful product ever made, along with laptops, tablets, ...

Anthropic is trialling a feature that lets users send prompts to Claude from a smartphone. Claude will complete the task on its own on a person's computer. Anthropic's product underscores its push ...

Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...

Apple’s Mac mini is back in the AI headlines. Last month, Perplexity released its own version of the OpenClaw “personal AI assistant” idea with a feature called Perplexity Computer. Now the company is ...

First look: Australian biotech startup Cortical Labs has crossed another boundary in biological computing. Its latest hardware platform, the CL1, uses living human neurons as the core of a fully ...

Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...

Abstract: Physics-informed neural networks (PINNs) are not dependent on data-driven methods but are solely constrained by physical laws. This makes them more aligned with the ideal inverse design ...