OpenAI secures a multibillion-dollar deal with Cerebras Systems to expand its AI computing capacity for inference workloads, enhancing scalability and efficiency.
Leading AI coding platforms consistently produce insecure code, including critical vulnerabilities, according to new research highlighting the need for enhanced oversight.
Google's Gemini AI assistant now proactively uses personal data from Gmail, Photos, Search, and YouTube for enhanced user experience.
Advanced AI coding agents are poised to fundamentally transform software development, moving the primary bottleneck from code writing to more precise requirements and strategic decision-making.
Meta has elevated AI infrastructure to a top-level strategic priority with the launch of Meta Compute, a new initiative that brings responsibility for building and operating data centers and networks under a single leadership structure.
Discover why relying on a single AI platform leads to limitations and how a specialized multi-tool approach enhances research, writing, and operational efficiency.
Exploring the distinct challenges and innovative solutions for integrating artificial intelligence into essential industrial systems, prioritizing reliability and safety.
AI-assisted low-code and no-code development tools are in high demand, transforming software creation by enabling rapid application development and task automation for users across all skill levels.
The confluence of artificial intelligence, edge computing, and complex security threats is reshaping the landscape of IT infrastructure management.
Nvidia's new Rubin architecture, unveiled at CES, revolutionizes AI processing by emphasizing advanced networking chips for unprecedented performance and efficiency.
Discover how real-time governance, robust data strategies, and proactive guardrails are crucial for maintaining AI system reliability and accuracy in the age of generative AI.
Databricks introduces Instructed Retriever, blending traditional database queries with RAG's similarity search for more precise AI answers in enterprise applications.
AI workloads are revealing critical gaps in traditional DevOps practices, necessitating a shift to holistic platform thinking and robust data observability.
Generative UI, driven by Model Context Protocol APIs, signals a shift to agent-driven architecture where chat interfaces create dynamic UI components.
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.
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![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)
