AI
articles
How LLMs Are Powering Next-Gen Malware: The New Cyber Frontier
Cyber Innovator Sean Grimaldi explains an evolving digital arms race in which AI-driven malware is rapidly advancing, challenging cybersecurity with evasion techniques and hard-to-detect threats.
Digital Ethics in AI: 3 Key Considerations for Leaders
Tech Consultant Matty Bakkeren elucidates the need for businesses globally to tackle challenges like bias, transparency, and data security to maximize AI’s benefits while minimizing unintended risks.
Exploring Aerospace Innovation with Airbus Acubed's Arne Stoschek
Arne Stoschek of Acubed by Airbus delves into innovations in autonomous flight and digital design tools shaping the future of sustainable aerospace.
Why My Wife and I Decided to Write a Book Using ChatGPT
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.
Ayar Labs Aims to Light up AI Applications with Optical I/O-based Fabrics
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.
5 Key Considerations for Ethical AI Deployment
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.
GlobalFoundries to Acquire Synopsys ARC Processor IP Business
The deal moves Synopsys’ ARC processor IP and ASIP Designer/Programmer tools to GF’s MIPS business, while Synopsys keeps interface and foundation IP and leans further into AI-era engineering.
The Echo of Wi-Fi: Why the Optics Industry Feels Like Déjà Vu
As AI breaks the networking playbook and data centers hit the power wall, the optics industry enters a chaotic “2003 moment.” Mark Grodzinsky explores why the lessons of Wi-Fi will define the winners of the AI era.
The Nervous System of AI: Why the “Best Effort” Era is Over
Deterministic wireless is becoming the nervous system of AI. As robots and XR scale, “best effort” turns into business risk—and networks must deliver predictable, identity-driven, secure performance.
2026 Predictions: A Year of Human and Machine Revolution
Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.
Intelligence Everywhere: Defining the Era of Edge and Physical AI
Deploying the future: At CES 2026, the Arm ecosystem is delivering AI from the cloud to the front lines—powering mobility, robotics, and personal computing with fast, efficient, on-device intelligence.
How PEAK:AiO Turns Commodity Servers Into AI Rocket Ships
By delivering AI performance with one-sixth the hardware footprint, PEAK:AiO is redefining software-defined storage to make scalable AI infrastructure more affordable, efficient, and open.
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Podcasts
Data Insights at OCP: DataraAI on Edge Robotics
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.
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.
From OCP 2025: Arm’s Chiplet Push and the AI Ecosystem Play
Allyson Klein and co-host Jeniece Wnorowski sit down with Arm’s Eddie Ramirez to unpack Arm Total Design’s growth, the FCSA chiplet spec contribution to OCP, a new board seat, and how storage fits AI’s surge.
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.
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
Nebius at SC25: Building the Neocloud for Enterprise AI
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
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.
Walmart and Cornelis Expose the Costs of Network Inefficiency
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.
Giga Computing on Rack-Scale AI: From Training to Inference
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
