Google Quantum AI announced a breakthrough, demonstrating a verifiable quantum advantage with its Quantum Echoes algorithm on a 105-qubit Willow chip.
Data center infrastructure management (DCIM) integrates IT, operations, facilities, and automation to enhance efficiency, reduce costs, and ensure reliability.
Visual Studio Code 1.105 introduces significant AI-powered features, including intelligent merge conflict resolution, an integrated MCP marketplace, and improved chat functionalities to streamline development tasks.
The accelerating pace of cloud-native development and the rise of AI-generated code are creating unprecedented cybersecurity challenges for organizations.
Organizations deploying autonomous AI agents must prioritize a robust governance framework to ensure regulatory compliance, foster customer loyalty, and secure employee adoption.
San Jose is actively seeking proposals for an advanced generative AI platform to empower its 7,000 employees with personalized chatbot assistants, aiming to significantly enhance productivity and streamline administrative tasks across all city departments.
Meta unveils significant advancements in AI and networking at the OCP Global Summit, pushing open standards and introducing new fabric architectures.
Microsoft's Copilot is set to introduce Copilot Actions, an experimental feature enabling autonomous tasks on local Windows files, including email management and document updates.
Discover how agentic AI systems are fundamentally changing IT operations, shifting focus from maintaining constant uptime to managing ephemeral, task-specific software agents.
A University of Illinois Urbana-Champaign study reveals selective retraining can help AI models learn new skills while preserving old ones, reducing costs and improving stability.
A new industry consortium, ESUN, is forming to advance Ethernet's capabilities for high-performance scale-up AI infrastructure through open standards and collaboration.
Oracle introduces AI Database 26ai, focusing on agentic AI capabilities for enterprises with new features like Select AI Agent and Agent Factory.
OpenAI is partnering with Broadcom to develop custom artificial intelligence accelerators, aiming to enhance AI infrastructure and reduce reliance on existing chip suppliers.
Enterprise networks face recurring performance issues not caught by traditional monitoring. This article details building an AI-ready observability framework using comprehensive log data, leading to proactive issue resolution and improved network stability.
Google introduces Gemini Enterprise, an advanced AI assistant and platform designed to streamline work tasks through coordinated agents and enhanced enterprise search capabilities.
Starburst is enhancing its AI services for enterprises, enabling multi-agent workflow creation, monitoring, and unified vector search across diverse data stores.
Cisco introduces its 8223 routing system and P200 Silicon One chip, engineered to support the demanding, distributed AI workloads of modern data centers.
A recent incident involving Deloitte Australia highlights the critical need for robust AI governance as enterprises rapidly integrate artificial intelligence.
OpenAI introduces integrated third-party applications within ChatGPT, enhancing its capabilities and positioning it as a foundational AI operating layer.
Mastering non-functional requirements for AI agents is crucial for their ethical, secure, and high-performing deployment. Learn to integrate NFRs for data quality, security, and scalability into your AI development lifecycle.
OpenAI has entered into a significant agreement with AMD to bolster its AI infrastructure, securing advanced chips and a potential stake in the semiconductor firm.
Generative and agentic AI are transforming cybersecurity operations, enabling proactive defense and addressing the relentless pace of modern threats.
AI 'hallucinations' are causing issues for Bay Area lawyers. Learn how artificial intelligence errors are leading to court sanctions and disciplinary actions.
Explore cinematic portrayals of human-AI dynamics and their relevance to fostering responsible, ethical artificial intelligence development.
Discover how the Model Context Protocol (MCP) is standardizing AI interactions across enterprise systems, turning AI from siloed experiments into intelligent orchestration engines.
IBM introduces Granite 4.0, open-source language models leveraging a hybrid Mamba-transformer architecture to significantly reduce AI infrastructure costs for enterprises.
As AI agents evolve from chatbots to powerful autonomous systems capable of complex tasks, organizations must prioritize robust security measures.
Explore the Model Context Protocol (MCP), a new standard enabling AI agents to perform complex real-world tasks beyond simple generation.
