tag: agentic AI

Why More CPUs Are Needed For Agentic AI
By Ed Sperling - 15 Apr, 2026 - Comments: 0

The shift from generative AI to agentic AI will significantly increase the amount of compute power needed in data centers. Queries to search for and analyze data from multiple sources will be performed simultaneously by agents and without human intervention, rather than a single request from a live person. Jeff Defilippi, senior director of product management at Arm, talks about the impact of r... » read more

An Engineering Roadmap Toward Completely Neural Computers (Meta AI, KAUST)
By Technical Paper Link - 11 Apr, 2026 - Comments: 0

A new technical paper, "Neural Computers," was published by researchers at Meta AI and KAUST. Abstract "We propose a new frontier: Neural Computers (NCs) -- an emerging machine form that unifies computation, memory, and I/O in a learned runtime state. Unlike conventional computers, which execute explicit programs, agents, which act over external execution environments, and world models, w... » read more

A New Era For Co-Processing
By Brian Bailey - 09 Apr, 2026 - Comments: 0

Key Takeaways: There is no single processor capable of executing everything efficiently, meaning that multiple processors are required. Maximum efficiency is gained by minimizing the movement of data. Architects must maximize efficiency for today's workloads, while also adding enough flexibility to handle tomorrow's. New processor architectures are rapidly evolving thanks to... » read more

Agent Card Poisoning: A Metadata Injection Vulnerability In The Systems Using Google A2A Protocol
By Kumar Aditya - 02 Apr, 2026 - Comments: 0

Modern multi-agent systems built on the Google A2A protocol enable dynamic discovery and delegation between autonomous agents through structured metadata known as agent cards. These cards describe capabilities, endpoints, and operational details that the host agent uses to plan task delegation. However, when agent cards are injected directly into an LLM’s reasoning context without strict boun... » read more

AI’s Potential And Limitations In Chip Design
By Ed Sperling - 01 Apr, 2026 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss the opportunities and challenges of using AI in chip design, with Thomas Andersen, vice president for AI & Machine Learning at Synopsys; Sridhar Boinapally, senior director of analog/mixed signal tools/flow at Intel; Alex Starr, corporate fellow at AMD; Stuart Oberman, vice president for GPU hardware engineering at Nvidia; ... » read more

An Exploration of Agent Scaling for HLS Design Space Exploration (IBM)
By Technical Paper Link - 31 Mar, 2026 - Comments: 0

A new technical paper, "Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?" was published by IBM. Abstract "We present an empirical study of how far general-purpose coding agents – without hardware-specific training – can optimize hardware designs from high-level algorithmic specifications. We introduce an agent factory, a ... » read more

AI Won’t Kill Verification IP, But It Will Redefine It
By Ann Mutschler - 26 Mar, 2026 - Comments: 0

Key Takeaways AI will enhance, not replace, verification IP by automating test generation and debug. Verification IP’s core value will increasingly lie in trust, accountability, and system-level realism, especially as designs become more complex, multi-die, and security-sensitive. AI shifts verification bottlenecks from execution to specification quality, raising expectations for c... » read more

How AI Will Automate Chip Design
By Ed Sperling - 17 Mar, 2026 - Comments: 0

AI has been used in EDA for many years for the core algorithms in tools, but it's getting smarter and more optimized with the rollout of generative and agentic AI. As it evolves and improves, hardware engineers are finding ways to leverage it for more complex tasks. Ziyad Hanna, corporate vice president at Cadence, talks about five levels of autonomy in chip design that mirror those in the auto... » read more

Human-Centered Agentic AI Workflows For RTL Verification
By Siemens EDA - 17 Mar, 2026 - Comments: 0

Productivity challenges in modern semiconductor development stem less from individual tool limitations and more from process-level complexity across design creation, verification, and iteration. Agentic EDA addresses this shift by embedding intelligence directly into workflows that span creation and validation. The Questa One Agentic Toolkit extends the Questa One solution with human-centere... » read more

Human-Centered Agentic AI Comes To RTL Verification
By Harry Foster - 12 Mar, 2026 - Comments: 0

For decades, productivity gains in electronic design automation (EDA) came from better engines. Faster solvers, higher-capacity simulators, and more scalable formal tools allowed design and verification teams to keep pace as designs grew larger. That model is no longer sufficient. Today’s design and verification bottleneck is not raw tool performance, but the coordination overhead required... » read more

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