MLCommons launches MLPerf Automotive v0.5, the first standardized benchmark suite to measure real-world AI performance in safety-critical automotive applications.
From predicting sepsis before symptoms appear to enabling rural clinics to make specialist-level diagnoses, a privacy-first approach to AI in health care promises to transform lives.
Surveying 250 IT pros, we found 29% already run SSDs beyond performance tiers, 81% would migrate when TCO wins, and storage innovation is a top lever to free power and space across the data center.
PowerScale delivers unmatched performance and scale for AI-driven transformation, while 122TB drives reshape enterprise infrastructure, proving storage is AI’s competitive edge in today’s data era.
AI demand is tightening HDD and NAND supply—and prices may follow. VAST is betting on flash reclamation and KV-cache persistence as storage starts acting more like memory.
By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Veteran technologist and TechArena Voice of Innovation Robert Bielby reflects on a career spanning hardware, product strategy, and marketing — and shares candid insights on innovation, AI, and the future of the automotive industry.
In this Data Insights episode, Andrew De La Torre discusses how Oracle is leveraging AIOps to enable automation and optimize operations, transforming the future of telecom.
In this episode of In the Arena, Palo Alto Networks’ Dharminder Debisarun explores the challenges of securing smart industries, preventing attacks, and staying ahead in an evolving threat landscape.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Despite regulatory confusion slowing innovation, AI-driven ESG tools are gaining traction as corporations race to meet evolving compliance demands and data transparency expectations.
As shifting regulations disrupt environmental, social and governance efforts, AI and advanced data analytics emerge as key drivers of progress, offering opportunities for scalable, impactful ESG strategies.