At Hot Chips 2026, OpenAI presented Jalapeño, an inference ASIC built with AI in the design loop. As reported from the session by ServeTheHome and Tom’s Hardware, OpenAI showed measured block-level wins over a human baseline — 56% on a BF16 multiply, alongside a 10% smaller matrix-unit area — within a roughly nine-month path from… Read More
Artificial Intelligence
Why Semiconductor AI Starts with Data, Not Algorithms
The next gains from AI in semiconductors will come less from models and more from making fab and test data reliable, connected and tied to engineering decisions.
By Sriram Nithin Gopal Lanka
Every few months there is a new AI model that can do more and semiconductor manufacturers are under pressure to put them to work. But ask the engineers… Read More
Why AI Security Starts at the Chip Level
Artificial intelligence is becoming part of the infrastructure that powers healthcare, transportation, finance, manufacturing, and everyday digital services. As these systems grow more capable, they also process more sensitive information and depend on increasingly complex hardware. The Synopsys white paper, “Securing… Read More
Delivering Silicon Systems Through AI Disruption, Part 1: Writing the Score
Score: the written music for an orchestra, with every section’s part laid out on the same page so they play together. In this article, it’s your designed workflows.
Is AI helping you hit your tape-out date, or putting it at risk? How would you know?
Every Director I talk to is being asked to use AI to deliver faster, or better,… Read More
Intel’s Open Software Blueprint: Why Production AI Needs More Than GPUs
Intel’s strategic argument about enterprise AI is that the value of a model depends on the system that surrounds it. In an article by executives Bill Pearson and Anil Nanduri, the company positions open software as the connective tissue linking CPUs, GPUs, data, and business applications. The message is straightforward: accelerator… Read More
Overcoming the Edge AI Power Wall with Low-Voltage Foundation IP
As artificial intelligence (AI) workloads migrate to endpoint hardware, edge AI devices face immense pressure to deliver real-time inference within highly restrictive power and thermal envelopes. Traditional silicon scaling no longer yields the power-density returns it once did. To compensate, engineering teams are turning… Read More
ChipAgents and NVIDIA Put Autonomous Chip Design to the Test
ChipAgents has introduced Build-A-Chip-Bench, a benchmark developed with NVIDIA to evaluate whether AI agents can complete digital chip design tasks from specification through physical implementation. The initiative measures progress beyond generating hardware code, asking whether autonomous systems can deliver verified… Read More
From Blueprint to Production: How Rambus Brings Commercial-Grade Caliptra Security to AI SoCs
Semiconductor designers today face a critical hurdle: how to smoothly transition from an open-source hardware blueprint to a commercially hardened, production-ready silicon implementation. As semiconductors play an increasingly essential role in powering the AI era, safeguarding these hardware foundations has become… Read More
Wilson Survey Signals Need for New Understanding of Verification Success
Siemens has again sponsored a Wilson-led survey on the state of (functional) verification in the industry, and this time Harry Foster (Chief Scientist, Verification at Siemens) has condensed his major takeaways from the report. These are intriguing – particularly an apparent revolutionary change in first-silicon trends.… Read More
From Simulation to Deployment: Why Physical AI Matters
Artificial intelligence is moving beyond the screen. The attached presentation describes a shift from systems that generate text, images, and code to systems that can perceive their surroundings and take action. These systems could guide robots, vehicles, factory equipment, medical devices, and critical infrastructure.… Read More


Intel’s Tiny Bridges Could Lead to Very Big Paychecks