Explore how multi-agent collaboration systems are revolutionizing real-world problem-solving across various sectors, enhancing adaptability and efficiency in complex environments.
Discover AIOps, an advanced operational approach utilizing machine learning and automation to monitor, manage, and troubleshoot complex digital systems effectively.
Agentic artificial intelligence represents a significant shift from reactive automation to proactive systems that perceive context, reason through complexity, and pursue objectives autonomously, promising enhanced productivity.
OpenAI partners with Amazon Web Services in a $38 billion deal to access hundreds of thousands of Nvidia AI chips, boosting its AI development.
The business world is transitioning from generative AI to agentic AI, enabling autonomous, multi-step process execution and revolutionizing enterprise operations.
A new authorship protocol seeks to integrate AI tools into academic and professional settings while ensuring human thought remains central and verifiable.
A groundbreaking mission sending NVIDIA GPUs to space aims to revolutionize cloud services, making applications, games, and AI tools faster and more energy-efficient.
As organizations seek more refined AI outputs, context engineering emerges as a critical methodology, moving beyond prompt refinement to integrate comprehensive data for enhanced accuracy and utility.
Amazon Web Services has inaugurated a colossal data center in Indiana, spanning 1,200 acres and housing cutting-edge AI training technology.
Nvidia collaborates with industry leaders like Nokia, Cisco, and T-Mobile to develop an AI-native wireless stack, aiming for next-generation 5G and 6G networks.
Kodiak Driver autonomous truck achieves a perfect 98 safety score, matching top human fleets in a groundbreaking AI evaluation by Nauto's VERA system.
GitHub introduces Agent HQ, a new platform designed to centralize and manage multiple AI coding agents from various providers within existing enterprise development workflows.
Quantum Circuits has announced its Seeker quantum processing unit now supports NVIDIA's CUDA-Q, enabling developers to merge quantum computing with AI and machine learning.
Continuous batching, also known as unified batch scheduling, significantly boosts large language model performance by eliminating idle GPU time and optimizing request processing.
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.
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