AI
articles
3 AI Cyber Revolutions That Will Reshape 2026
AI-driven offense, autonomous defense, and new insider threats are converging fast. These three cyber revolutions show how machine intelligence will reshape enterprise security strategies in 2026.
Inside the AI Risk Land Grab: Outages, Fear and M&A
In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
2026 Predictions: The Year Humanoid Robotics Gets Real
Robots aren’t going to fold your laundry by February. But Voice of Innovation Niv Sundaram predicts that an urgent caregiver shortage will move humanoids “from warehouses to living rooms” in 2026.
Marvell Inks $5.5B Celestial AI Deal to Break Memory Wall
Marvell is inking a deal for optical interconnect startup Celestial AI in a massive bet that the industry has shifted from being compute-constrained to bandwidth-constrained.
Using the Power of Micro Grids to Feed AI’s Insatiable Appetite
As AI training pushes data centers to unprecedented power densities, researchers reveal an affordable solution that lets computing thrive on fluctuating renewable energy.
8 Ways AI Will Rewrite Data Center Infrastructure in 2026
In Part 1 of Voice of Innovation Matty Bakkeren’s 2026 predictions series, he explores how AI, power, cooling, and supply chains are reshaping data center infrastructure for a utility-scale future.
5 Top Takeaways from Day 2 of the Oregon AI Conference
During day two of the Oregon AI conference, attendees focused on the ethical implications of AI and how small-to-medium-sized businesses (SMBs) can integrate AI into their operations.
3 Day-One Trends from the Oregon AI Conference
The first day of the inaugural Oregon AI Conference showcased how quickly AI can unite small-to-medium-sized businesses, spotlighted DeepSeek’s evolution, and championed responsible innovation.
The Great Debate: Navigating AI Ethics
Our own Allyson Klein moderates a powerhouse panel on AI ethics, with panelists representing Loyola University Chicago, Google, MLCommons, VAST Data and Momethesis.
Synopsys’ Multi-Die Technology Enhances Chiplet Capabilities
In this video from Chiplet Summit, Shekhar Kapoor discusses how Synopsys’ transition to a multi-die approach to chiplet development has allowed them to innovate beyond the limitations of traditional monolithic chips.
Hypertec Cloud - VAST Data Collaboration Accelerates AI Innovation
Canada fuels AI innovation with a new partnership between Hypertec Cloud and VAST Data, enhancing AI research with advanced compute capacity and efficient data pipelines.
“Mind the Gap” – The Man in the Middleware
Intel’s Lynn Comp looks past the hype to explore AI’s real business impact, questioning its future potential: will AI drive ROI, or is it merely middleware destined to be absorbed into the stack?
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Podcasts
Exploring Cerebras' AI Innovations: Inference, Llama, and Efficiency
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Optimizing AI Scale-Out: Cornelis Networks’ Vision with Lisa Spelman
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
AI on Your Desk with Uptime Industries’ Lemony
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Ayar Labs' Mark Wade on Optical I/O Boosting AI Performance
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.
AI Innovation, Energy Efficiency & Future Trends with Neeraj Kumar
Neeraj Kumar, Chief Data Scientist at PNNL, discusses AI's role in scientific discovery, energy-efficient computing, and collaboration with Micron to advance memory systems for AI and high-performance computing.
Exploring AI Innovation with Hitachi Ventures' Gayathri Radhakrishnan
Guest Gayathri “G” Radhakrishnan, Partner at Hitachi Ventures, joins host Allyson Klein on the eve of the AIHW and Edge Summit to discuss innovation in the AI space, future adoption of AI, and more.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
