AI
Highlights
Mid-Year Report: AI’s Biggest 2025 Surprises Revealed
Market share shakeups, pricing shocks, and a tectonic shift in the open internet: Intel’s Lynn Comp unpacks developments in AI trends in 2025 that no one could have predicted.
MLPerf Storage v2.0 Eclipses Records in AI Benchmarking
Global surge in submissions reveals the pivotal role of storage in scaling AI training, with new checkpoint tests tackling failure resilience in massive accelerator clusters.
MLCommons Raises the Bar for AI PCs with MLPerf Client v1.0
MLCommons launches industry-standard benchmarks for LLM performance on PCs, cutting through marketing hype and giving developers and enterprises the transparent metrics they need.
AI’s New Canvas: The Visual Creators in the Zoo
From Midjourney to Firefly, Part 2 of our ‘AI Zoo’ series breaks down how today’s top image models work—and how TechArena uses them to create powerful, responsible visuals.
The Lamb Lays Down with the Lion to Avoid Being Eaten by the Wolf
As Chinese EV giants like BYD rise, German automakers are forging an unlikely alliance, but history shows such partnerships often crumble within months.
AI Chip Design Hits Crossroads in Agentic Era
As AI reshapes compute, memory, and networking, chipmakers are racing to rethink design workflows, embrace agentic AI, and overcome the next wave of data, power, and talent constraints.
Catching Up with Urban Machine and AI Fueled Construction Reclamation
Urban Machine, featured on the TechArena podcast, uses AI and robotics to repurpose lumber, reducing construction waste. Recognized at SXSW, they won the 2024 Mighty Materials Award and seek $20M in EPA funding. Listen to our podcast with CTO Andrew Gillies.
How Health Technology Innovations, Inc. is using AI to accelerate pharma research
Discover how AI is transforming pharma research, accelerating drug development, and reducing costs. This blog highlights key innovations like Health Technology Innovations, Inc.'s Cryo-FAST platform, which speeds up early-stage research. Learn about AI's impact through real-world examples of collaboration and implementation.
Sema4.ai Delivers Agents of Change
The pace of AI innovation is accelerating, and Sema4.ai’s vision goes beyond large language models (LLMs) to the transformative potential of AI agents. These agents, unlike traditional software, complete tasks autonomously, acting as knowledge workers that can reason, collaborate, and deliver work products. Sema4 pioneers this technology, offering AI agents optimized for specific industries, enhancing productivity significantly.
Cornelis Networks Aims for AI Fabric Growth with Lisa Spelman at the Helm
Lisa Spelman introduced as new CEO of Cornelis Networks
Advanced Semiconductor Packaging: The Secret Hero for the AI Infrastructure Era
Unveiling the Role of Advanced Semiconductor Packaging in Powering AI: Explore the innovations in 2.5D and 3D packaging, high bandwidth memory, and chiplet solutions driving AI infrastructure into the future.
Microsoft Stuns with Speed of AI Innovation and Integration at MS Build
TechArena’s take from Satya Nadella’s keynote at MSBuild 2024. This post covers infrastructure, silicon collaborations and service delivery.
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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.
MLCommons’ Peter Mattson on the New AILuminate AI Safety Benchmark
In this podcast, MLCommons President Peter Mattson discusses their just-released AILuminate benchmark, AI safety, and how global collaboration is driving trust and innovation in AI deployment.
Bloor Group CEO Eric Kavanagh's 2025 enterprise AI Predictions
In this episode, Eric Kavanagh anticipates AI's evolving role in enterprise for 2025. He explores practical applications, the challenges of generative AI, future advancements in co-pilots and agents, and more.
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.
