tag: AI

Building Multi-Agent Systems For ASIC Flows
By Ed Sperling - 10 Jun, 2026 - Comments: 0

If one AI agent can solve a problem in a certain amount of time, can multiple agents solve it faster? The answer is yes, but only if the agents have well-defined roles and targets. This is where orchestrators fit in, and why they are so critical to agentic AI. Kexun Zhang, head of research at ChipAgents, talks about what exactly AI agents are, how they can be used to solve big problems that wou... » read more

AI Models Transform Defect Inspection And Review, But Can Fail To Scale
By Laura Peters - 09 Jun, 2026 - Comments: 0

Key Takeaways: AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields. 70% of AI initiatives stall after pilot implementation, but some pitfalls can be avoided. One of the brightest spots in AI use today is the industry’s ability t... » read more

What I Learned At The 2026 GSA Tech Summit: The Future Of Semiconductor Collaboration Is Full Stack
By Ming Zhang - 09 Jun, 2026 - Comments: 0

I had the privilege of joining a panel at the Global Semiconductor Alliance (GSA) Tech Summit in June in Scottsdale, Arizona, titled "Collaboration Models That Actually Work." It was a fitting title for an event that brought together executives from across the semiconductor ecosystem, including foundries, fabless companies, equipment makers, EDA vendors, cloud providers, and systems integrat... » read more

Effective UX/UI Is A Critical Link Between AI Insights And Yield Improvement
By Keira Lei - 09 Jun, 2026 - Comments: 0

The semiconductor industry is undergoing a fundamental shift in how data is generated, analyzed, and acted upon thanks to the integration of AI into process control flows. As AI becomes more deeply integrated into the manufacturing process, its value is increasingly determined not by data-driven decision making alone, but by how effectively its outputs are delivered, interpreted, and acted upon... » read more

Disturbance In Verification
By Brian Bailey - 08 Jun, 2026 - Comments: 2

When writing my recent story about agentic verification, there was one quote from Abhi Kolpekwar, senior vice-president and general manager at Siemens EDA, that really struck a chord. He was talking about the additional token costs that would be consumed when a verification engineer starts asking the agents to do what was considered to be part of their job. "Consider the total cost of owners... » read more

Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026
By Lori Scott - 05 Jun, 2026 - Comments: 0

The 2026 IEEE Electronic Components and Technology Conference (ECTC) showcased how advanced packaging can redefine the scalability limits of artificial intelligence (AI) and high-performance computing (HPC). Across 20 technical papers, Intel Foundry engineers and collaborators highlighted breakthrough innovations — from Embedded Multi-die Interconnect Bridge-T (EMIB-T) enabling large multi-d... » read more

Securing Terabit Ethernet For AI: Where MACsec, IPsec, And UET TSS Each Fit (And Why You Need More Than One)
By Vincent van der Leest - 04 Jun, 2026 - Comments: 0

As AI and HPC systems scale, the network has become both a critical enabler of performance and a rapidly expanding attack surface. The shift from rack-scale compute to cluster- and data center-scale AI infrastructure means that data is no longer confined to a single chip, board, or even system. Instead, it moves continuously across hundreds, or thousands, of endpoints, often at aggregate bandwi... » read more

The Edge LLM Offload Story
By Karthikeyan Shanmuga Vadivel - 04 Jun, 2026 - Comments: 0

By Karthikeyan Shanmuga Vadivel and Sauryadeep Pal Developers and system architects today face a growing demand to enable large language model variants on device. They are facing pressure to support transformer-capable models on constrained devices to ensure data privacy, eliminate cloud API charges, and provide offline reliability. On-device execution is also becoming a necessity to meet st... » read more

Toward Agentic Verification
By Brian Bailey - 28 May, 2026 - Comments: 1

Key Takeaways: Agentic verification provides flow orchestration for common repetitive tasks. Capabilities will expand when tools can learn from a larger context, including the specification. Design houses need to fully understand the costs and benefits and plan accordingly. Agentic verification is more than a buzzword. It is a pivotal moment in the evolution of verification ... » read more

Using SystemC TLM Modeling To Solve AI Data Movement Challenges
By Andy Nightingale - 28 May, 2026 - Comments: 0

In AI silicon, the performance numbers tell only part of the story. Marketing claims often highlight headline metrics such as trillions of operations per second, tensor throughput, matrix dimensions, and accelerator density. But engineers building these systems understand the harder truth. Compute performance matters only when data arrives at the right rate, with the right latency, and without ... » read more

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