AI Exec Bob Rogers reflects on AI’s rapid growth, his initial concerns, and its potential societal impact. He explores the need for thoughtful regulation to balance innovation with protection.
Join Arne Stoschek, VP of AI and Autonomy at Airbus Acubed, as he discusses the role of AI in aviation, the future of autonomous flight, and innovations shaping the industry at Airbus.
Discover how Ayar Labs' Optical I/O tech is solving AI data bottlenecks, boosting performance, and driving new metrics for profitability, interactivity, and scalability in next-gen AI infrastructure.
AI is transforming industries, but it also raises ethical challenges. This blog explores five key ethical considerations, from training data biases and social inequality to the environmental impact of AI models. Understanding these issues is vital for responsible AI deployment.
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.