Quantum computing could speed up AI and drug discovery by processing tasks faster. Investors can explore quantum computing ETFs or stocks like Alphabet for diversified exposure. Regular updates on ...

Threat actors have been exploiting a command injection vulnerability in Array AG Series VPN devices to plant webshells and create rogue users. Array Networks fixed the vulnerability in a May security ...

SYRACUSE, N.Y. — On Dec. 1, 2025, CBS programming in the Syracuse market transitioned from WTVH to WKOF. This planned call letter and channel position change was designed to be seamless for viewers, ...

At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.

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A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Google on Tuesday announced a brand-new AI model called Gemini 2.5 Computer Use, releasing it in preview to developers. If you've been following the AI industry, you might be familiar with the term ...

Google's latest Gemini 2.5 Computer Use AI model is designed to perform actions on web browsers and Android UIs. It outperforms OpenAI's Computer-Using AI Agent and Anthropic's Claude Sonnet 4.5 in ...

Google is now letting developers preview the Gemini 2.5 Computer Use model behind Project Mariner and agentic features in AI Mode. This “specialized model” can interact with graphical user interfaces, ...

Google’s Gemini 2.5 Computer Use model is a new AI agent that can autonomously browse the web and interact with UIs—clicking, typing, and scrolling based on text prompts. Built on Gemini 2.5 Pro, this ...

Infinidat has expanded its InfiniBox family to double the capacity of its biggest Hybrid array while keeping the same physical footprint. The move will see the InfiniBox Hybrid array now hold up to ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...