Google DeepMind's AlphaGenome uses AI to decode the mysteries of non-coding DNA — a leap that could transform how we understand disease, evolution, and what it means to be human.
Intel's decision to outsource marketing to Accenture and generative AI sparks debate: is this a visionary leap into the future of work or a symptom of a deeper retreat from innovation leadership?
Feeling overwhelmed by AI? You’re not alone. This new series cuts through the hype to explore practical tools, evolving trends, and smart strategies to help you navigate the AI ecosystem.
Purpose-built for agentic AI, WEKA’s NeuralMesh delivers microsecond data access, self-healing resilience, and exabyte-scale performance for the next generation of real-time AI workloads.
RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.
These data-infrastructure shifts will determine which enterprises scale AI in 2026, from real-time context and agentic guardrails to governance, efficiency, and a more resilient data foundation.
From circularity to U.S. assembly, Giga Computing lays out a rack-scale roadmap tuned for the next phase of AI—where inference drives scale and regional supply chains become a competitive edge.
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.
Modern software-defined cars blend multiple links—CAN/LIN, MIPI, SerDes, and Ethernet/TSN—to shrink wiring and cost, manage EMI, and deliver reliable, deterministic timing from sensors to actuators.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
As AI inference, edge, and autonomous systems outpace legacy networks, this playbook shows how to combine fiber, RF, FSO, and satellite to tame digital asymmetry and build resilient AI connectivity.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Cornelis CEO Lisa Spelman joins Allyson Klein to explore how focus, agility, and culture can turn resource constraints into a strategic edge in the fast-moving AI infrastructure market.
As GPU racks hit 150kW, throughput per watt has become the efficiency metric that matters, and SSDs are proving their worth over legacy infrastructure with 77% power savings and 90% less rack space.
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.
Two decades of action and bold milestones show why Schneider Electric is recognized as the world’s most sustainable company, driving impact across climate, resources, and digital innovation.