Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
Our latest blog post explores how PNNL is revolutionizing energy efficiency, large-scale data processing, and sustainability, targeting applications across the scientific spectrum.
During his keynote address at OCW, industry legend Larry Ellison honed in on how Oracle aims to transform business processes with AI-driven automation, emphasizing security, reliability, and adaptability.
Allyson Klein reflects on her fascinating chat with Guest Gayathri "G" Radhakrishnan, Partner at Hitachi Ventures, who discussed innovation in the AI space, future adoption of AI and how long it will take for enterprises to adopt AI tech at scale.
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.
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.