Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

North Korean IT operatives use stolen LinkedIn accounts, fake hiring flows, and malware to secure remote jobs, steal data, ...

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

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Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this week’s threat landscape.

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

The idea of an anime-style soulslike releases plenty of good chemicals in my brain, but the first Code Vein back in 2019 turned out to be just okay in my book. Like a number of Bandai Namco's original ...

Sequels carry certain expectations with them, like the promise of building on the promise of what came before and correcting past mistakes. Bandai Namco’s Code Vein 2 is exceptional in that it manages ...