AI
articles
The Evolution of AI in ADAS 2.0
Autonomous vehicles reduce accidents by using sensor fusion (cameras, radar, LIDAR) for better perception. Advances in AI, including CNNs and vision transformers, will enhance safety and performance.
3 Key Trends We're Seeking from AIHW and Edge Summit Next Week
We’re honed in on these trends for 2025: Will NVIDIA GPUs face real competition? What innovations will we see in AI fabric? And how will our planet support the power-hungry future of AI?
Sometimes We Wonder What Intelligence is Artificial
Jim Fister writes that AI's success relies on careful data management and strategic application rather than simply relying on AI to solve problems. He stresses the importance of data structure and veracity in generating meaningful insights.
Taboola Taps AI to MicroTarget Advertising
Allyson Klein recaps an insightful conversation with co-host Jeniece Wnorowski and Ariel Pisetzky, VP of information technology and cyber at Taboola, about the transformative impact of data and AI on ad placement.
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.
Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell, AI
At GTC, Synopsys announced a new suite of electronic design automation tools that harness NVIDIA’s Grace Blackwell architecture to accelerate the next generation of silicon development.
VAST & NVIDIA on the Insight Engine-DGX Collaboration
At GTC 2025, VAST’s John Mao and NVIDIA’s Tony Paikeday discuss their recent announcement and how AI infrastructure is evolving to meet enterprise demand, from fine-tuning to large-scale inferencing.
How PEAK:AIO is Powering the Future of AI and GPU Compute
As AI’s demand for faster data processing grows, PEAK:AIO delivers high-performance storage that eliminates bottlenecks—transforming industries from healthcare to conservation.
GTC 2025: AI Factories Take Center Stage
As NVIDIA takes the stage at GTC, we’re diving into DeepSeek’s impact, enterprise AI adoption, and the rise of agentic computing. Follow TechArena.ai for real-time insights from the AI event of the year.
Generative AI vs. Machine Learning: What's the Difference?
Generative AI is stealing the spotlight, but machine learning remains the backbone of AI innovation. This blog unpacks their key differences and how to choose the right approach for real-world impact.
The Evolution of Ransomware, Pt. 2
In this blog, Sean Grimaldi explores how triple extortion ransomware exploits data, reputation, and online presence—making traditional defenses like backups increasingly ineffective.
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Podcasts
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.
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.
