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A step-by-step guide to building scalable, cost-effective AI inference systems using Red Hat and Intel technologies, moving beyond GPU-centric approaches.
A step-by-step guide to adopting Veeam's new data and AI trust platform announced at VeeamON 2026, covering mindset shift, architectural layers, and integration tips.
A step-by-step guide to establishing AI trust through identity management, automation, and cryptographic governance, based on DigiCert's framework for securing autonomous agents and synthetic content.
A step-by-step guide to overcoming deferred IT maintenance and building a solid infrastructure foundation for AI, based on Red Hat CEO's insights on the collision between AI ambition and technical debt.
Spain faces oil shock with €88 flight premium; coalition pushes national incentives for synthetic SAF. Q&A covers costs, ReFuelEU, Iran crisis, and EU Council stakes.
Six key questions answered on EU demand-side measures to save drivers €30-74B yearly amid oil price shock from Iran conflict.
Major airports like Dubai, Heathrow, and LAX emit three times the CO2 of Paris. This Q&A explores the data, health impacts, policy solutions, and what travelers can do.
Discover 7 key questions and answers about why US EV adoption faces roadblocks—cost, chargers, range, policy, and more—all explained clearly.
Tesla's robotaxi fleet expands despite missed targets, with progress noted by observers like Ole Laursen.
TeamPCP compromised 170+ npm/PyPI packages in hours, hitting Mistral AI SDK and TanStack Router via exploited GitHub Actions, with worm-like malware stealing credentials.
Study reveals LLMs introduce severe errors in document editing, losing up to 25% content after 20 interactions; experts warn against unsupervised delegation.
AMD's Lemonade app offers local AI with broad runtime support but lacks NVIDIA GPU acceleration and has limited NPU functionality, raising questions about its appeal.
SAP's AI tools from Sapphire 2025 face low adoption; version 2.0 announced with pro-code flexibility and agentic workflows.
AWS launches Redshift RG instances with integrated data lake engine, eliminating separate Spectrum charges and reducing complexity for enterprise analytics.
Explores a divide-and-conquer paradigm for reinforcement learning that avoids error propagation in temporal difference learning, enabling scalable off-policy RL for long-horizon tasks.
A new framework directly evaluates and optimizes imaging systems using mutual information, outperforming traditional metrics and end-to-end methods with less compute and memory.
LLMs exhibit complex interactions among features, data, and components. SPEX and ProxySPEX use efficient ablation to identify critical interactions at scale.
GRASP introduces three innovations—virtual states, state stochasticity, and gradient reshaping—to make gradient-based planning with learned world models robust for long horizons.
Adaptive parallel reasoning enables LLMs to autonomously decompose tasks, manage parallel threads, and overcome context limits and latency, drastically improving inference efficiency.
A 10-point list exposing how failing edge devices (firewalls, VPNs) create visibility gaps and accelerate modern intrusions, with actionable takeaways.