Samsung recently introduced its LPDDR5-based SOCAMM2 memory module, designed to boost performance and efficiency in AI data centers.
Scientists have achieved a significant milestone, enabling a robot to learn 1,000 distinct physical tasks in a single day, ushering in new possibilities for automation.
Mac malware campaign uses fake AI chat results to deliver AMOS through terminal commands, security researchers report. Attackers exploit trust in AI-generated cleanup guides.
Chinese AI firm Deepseek introduces Manifold-Constrained Hyper-Connections, an innovative training method set to enhance large language model efficiency and reduce costs significantly.
Discover expert strategies and practical tips for maximizing ChatGPT's features, from effective prompt engineering to utilizing advanced AI modes and privacy best practices.
Enterprises deploying Retrieval-Augmented Generation at scale face architectural hurdles in ingestion, retrieval optimization, and validation for reliable, accurate AI systems.
AI data centers face a connectivity challenge as increasing GPU-to-GPU data rates push copper cables to their physical limits, prompting exploration of radio-frequency solutions.
Successfully scaling AI initiatives across an enterprise requires a comprehensive redesign of processes, systems, and skills, moving beyond initial pilot projects.
Small language models are transforming IT and HR, delivering automation, personalized support, and significant ROI by optimizing efficiency and cost.
Explore how modern AI tools are transforming the traditional command line interface, enabling developers to achieve complex tasks with greater efficiency and a more intuitive experience.
The detection of AI-written text poses significant challenges for various institutions, impacting everything from academic integrity to advertising transparency.
Explore cognitive data architecture, a new approach to designing self-optimizing frameworks that addresses challenges of data sprawl, cost, and regulation for AI.
Organizations face the crucial decision of where to deploy AI workloads to maximize return on investment, balancing centralized cloud power with decentralized edge proximity.
Instagram introduces 'Your Algorithm,' a new AI-powered tool that grants users unprecedented control over their Reels feed, allowing real-time content customization.
Artificial intelligence workloads are rapidly transforming data centers, necessitating advanced liquid cooling solutions to manage escalating power and density needs.
Explore cloud-native computing, its architectural principles, expanding ecosystem, and adaptation to AI workloads for modern, resilient applications.
Explore how current data architectures impede AI progress and discover strategic approaches to build an AI-ready data layer that supports agentic systems.
The AI-powered IRMO M1 exoskeleton features four modes including turbo, eco, training and rest for hiking, running, cycling and sports with eight-hour battery life.
Nvidia strategically acquires SchedMD, the developer of Slurm, enhancing its AI software stack and optimizing workload management for high-performance computing and AI clusters.
Discover how AgenticOps extends DevOps to secure, observe, and manage AI agents, ensuring reliable and effective operation in enterprise environments.
Agentic AI systems are transforming cloud modernization, enabling continuous application optimization and shifting IT from periodic overhauls to an always-on engine.
A new study reveals cybersecurity teams are shifting their focus from headcount shortages to critical skill gaps, particularly with AI, increasing breach risks.
Large language models demonstrate exceptional proficiency in writing and understanding code due to its structured nature, abundant availability, and verifiable outcomes.
This article outlines a practical, end-to-end framework for integrating green artificial intelligence practices across enterprise IT, transforming sustainability into an operational advantage.
Frequent AI technology evolution and shifting strategies are compelling enterprises to rebuild their AI infrastructures every few months, hindering full agent deployment.
Enterprises face significant challenges transforming AI proofs of concept into production, with only 12% succeeding, prompting AWS to introduce new tools addressing key hurdles.
Effective management of AI agent memory is crucial for enterprise security and operational integrity, requiring a shift from temporary storage to robust database practices.
Bay Area laboratories are pivotal in the Genesis Mission, a multi-billion dollar federal initiative to accelerate US artificial intelligence advancements to counter China's technological progress.
Samsung 990 EVO Plus 4TB M.2 NVMe SSD delivers up to 7,250/6,300 MB/s read/write speeds, exceptional thermal control, and dual PCIe 4.0 x4 / 5.0 x2 compatibility.
CORSAIR Vengeance 16GB DDR5 SODIMM RAM boosts laptop and small PC performance, delivering high speed, reliability, and easy installation.
TP-Link Archer BE6500 Wi-Fi 7 router delivers 6.5 Gbps total bandwidth, dual 2.5 Gbps ports, covers 2,400 sq. ft., supports 90 devices.
TP-Link ER707-M2 multi-gigabit router delivers dual 2.5G WAN, Omada SDN control, secure VPN, and reliable load balancing for home or small office networks.
![The evolving landscape of AI-generated text presents ongoing challenges for detection and verification. Credit: Getty Images]](https://res.cloudinary.com/dl2cf3pgh/image/upload/v1766498765/images/1766498764509_thumb.jpg)
