AI
articles
Lightwave Logic’s Robert Blum on Polymer Optics for AI
Allyson Klein and Robert Blum of Lightwave Logic unpack how electro-optic polymers, paired with silicon photonics, lower power and boost density on the road to 400G-per-lane optics— with a 2027 volume ramp in sight.
Privacy-First AI in Healthcare: Optum’s Dr. Rohith Vangalla
From federated learning and zero-trust to confidential computing, Dr. Rohith Vangalla shares a practitioner’s playbook for explainable, scalable AI that moves healthcare from reactive to proactive.
Permission Debuts a Digital Mini-Me for the Agentic Era
Permission Agent turns user-approved signals into auditable datasets—paying contributors in $ASK—so teams can train and personalize AI with verifiable consent and enforceable revocation.
Ai4 2025: Agents, RAG, and the Enterprise AI Reality Check
From arena keynotes on education and RAG to 50 tracks and 250+ exhibitors, Ai4 2025 leans into agentic systems, governance, and real-world deployments for buyers who need proof, not promises.
Verizon Business’ Nikhil Tyagi on Edge AI Innovation
Nikhil Tyagi of Verizon Business discusses scaling AI at the edge, from small language models and multimodal experiences to infrastructure challenges and adaptive inference.
Storage Is the Catalyst Revolutionizing Enterprise AI
Learn how Solidigm SSDs are delivering 10x-20x performance gains and 40% cost savings for enterprise AI during Supermicro’s Open Storage Summit this August.
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.
PhoenixNAP's Bare Metal Cloud Meets AI's Data Center Demands
Allyson Klein reflects on her chat with PhoenixNAP’s Ian McClarty, covering AI's impact on data centers, the advantages of bare metal cloud, and the push for sustainable high-performance computing.
Why a Self-Driving Car Might Run a “STOB” Sign: To ViT or Not To ViT
Automotive expert Robert Bielby compares Convolutional Neural Networks and Vision Transformers in self-driving cars, discussing tradeoffs between the need for training data and accuracy, as well as the emergence of hybrid models.
Recap Report: 2024 AI Hardware and Edge AI Summit
Check out our in-depth look at key takeaways from AI Hardware and Edge AI Summit, highlighting how advancements in AI infrastructure, acceleration, and connectivity are transforming the future of computing.
.svg)
Podcasts
Forecasting HPC, AI, and Next-Gen Weather Models with Peter Dueben
Peter Dueben of European Centre for Medium-Range Weather Forecasts explores the role of HPC and AI in advancing weather modeling, tackling climate challenges, and scaling predictions to the kilometer level.
MLCommons’ David Kanter on Benchmarking AI, Accelerating Innovation
David Kanter discusses MLCommons' role in setting benchmarks for AI performance, fostering industry-wide collaboration, and driving advancements in machine learning capabilities.
OCP Insights with Scott Shadley: AI, Collaboration & Storage
Join Allyson Klein and Jeniece Wnorowski in this episode of Data Insights as they discuss key takeaways from the 2024 OCP Summit with Scott Shadley, focusing on AI advancements and storage innovations.
Inside AMD’s Vision for AI and Data Center Evolution
In this episode of Data Insights by Solidigm, Ravi Kuppuswamy of AMD unpacks the company’s innovations in data center computing and how they adapt to AI demands while supporting traditional workloads.
Exploring AI Innovations: Chen Lee of Gigabyte at OCP Summit
Join host Allyson Klein and co-host Jeniece Wnorowski in this episode of Data Insights as they chat with Gigabyte's Chen Lee about AI innovations and the future of server technology at OCP Summit.
Google Cloud’s Amber Huffman on AI, OCP & Future Innovations
Live from OCP Summit, Google Cloud’s Amber Huffman shares insights on AI's future, open standards, and innovation, discussing her journey, data center advancements, and the role of collaboration at OCP.
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.
AI in Finance: Governance, Compliance, and Innovation
Anusha Nerella joins hosts Allyson Klein and Jeniece Wnorowski to explore responsible AI in financial services, emphasizing compliance, collaboration, and ROI-driven adoption strategies.
Cerebras Scales Real-Time AI with Wafer-Scale Innovation
At AI Infra Summit, CTO Sean Lie shares how Cerebras is delivering instant inference, scaling cloud and on-prem systems, and pushing reasoning models into the open-source community.
