Learn more about PLL IP core
In this paper, the authors propose a novel automated RTL bug repair methodology that combines LLMs, assertions, and a model checker to provide scalable, trustworthy semantic grounding and formal guarantees. Concretely, the methodology leverages failing assertions to guide the LLM in generating patches for multi-line bugs.
Wiring and bandwidth bottlenecks between a quantum processor and room-temperature electronics can be reduced by placing digital control at the cryogenic stage, but commercial foundry standard-cell libraries are not specified for operation at 4 K.
The authors present SIXPPAC, the first streaming machine-learning engine for real-time integrated sensing and communication (ISAC) in wireless systems. SIXPPAC integrates two SAR ADCs and a digital binary-weight six-layer neural network (NN).
The verdict is the latest chapter in a four-year IP dispute between the two chip giants, safeguarding Qualcomm’s custom processors while placing financial pressure on Arm.
The authors present ArchAgent, a hierarchical multi- agent framework in which an LLM-based planner decomposes system design into chip, scale-up, and scale-out subproblems, each handled by specialist agents.
LLM agents now write their own schematic and layout generators, run EDA tools, read the results, and fix the design. This "vibe tapeout" is becoming practical for analog circuits as well. This paper measures how far it has come in two settings.
