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Artificial Intelligence
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
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 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
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
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
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
It has been a busy year for sure. In 2026, artificial intelligence agents conducting cybersecurity tests crossed into real computer systems. The incidents had different causes and impacts. Some agents exploited flaws to escape isolation; others had unintended internet access and mistook real organizations for simulated … Read More
Before EDA becomes AI-native, focused agents have a window to prove measurable engineering value inside existing design flows.
AI is entering semiconductor engineering from several directions at once.
Some companies are building broad agentic design environments. Others are attacking specific bottlenecks: timing closure,… Read More
The TSMC OIP Ecosystem Forum highlighted many accomplishments across TSMC’s vast ecosystem. Specific achievements with TSMC as well as collaborative work across several companies were all on display.
And there was an exhibit area where you could meet the companies behind many of these stories and learn more about them.
This … Read More
For decades, chipmakers improved computing performance largely by putting more capable circuitry on a piece of silicon. That remains important, but AI is exposing its limits. Large models demand enormous amounts of data movement, sustained power and effective cooling. A fast processor cannot deliver its full benefit if memory… Read More
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