Spice
PulseAugur coverage of Spice — every cluster mentioning Spice across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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LLMs accelerate analog circuit design with new frameworks for layout and topology
Two new research papers explore the application of large language models (LLMs) in analog circuit design, aiming to automate and improve the efficiency of complex layout refinement and topology generation. The first pap…
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New benchmark reveals LLM limitations in circuit design netlist manipulation
Researchers have introduced NetlistBench, a new benchmark designed to evaluate the reliability of Large Language Models (LLMs) in understanding and manipulating SPICE netlists, which are crucial for circuit design. The …
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New CapProbe benchmark evaluates detailed image captions from VLMs
Researchers have introduced CapProbe, a new benchmark designed to rigorously evaluate the detailed captions generated by vision-language models (VLMs). Unlike existing metrics that struggle with factual accuracy and pro…
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Adjudicated Captioning framework boosts zero-shot image captioning performance
Researchers have developed a novel multi-agent framework called Adjudicated Captioning to improve zero-shot image captioning. This inference-time system enhances an existing captioner by adding a stronger retrieval enco…
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LLM Agents Tackle Analog Circuit Design with ATLAS Framework
Researchers have developed a new framework called ATLAS that leverages Large Language Models (LLMs) for analog Electronic Design Automation (EDA). This multi-step agentic framework is designed to generate functional Suc…
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Amazon Quick Sight integrates business context into datasets and unifies multiple datasets with new Topic features
Amazon Quick Sight is enhancing its data management capabilities with two new features: Dataset Enrichment and multi-dataset Topics. Dataset Enrichment allows business context, such as column descriptions and synonyms, …
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Weave tool achieves 100% verified schematic conversion accuracy
Researchers have developed Weave, a new deterministic tool for converting SPICE netlists into LTspice schematics. Unlike probabilistic methods that offer no connectivity guarantees, Weave provides a binary correctness c…
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New memristive synapse design promises highly efficient on-chip neural networks
Researchers have developed a physics-based design for an on-chip neural network utilizing multi-level memristive synapses capable of supporting a wide range of conductance states. This design, rooted in ionic transport …
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LLM framework generates verifiable PCB schematics without unit tests
Researchers have developed PCBSchemaGen, a novel framework designed to enable large language models (LLMs) to generate verifiable code for printed circuit board (PCB) schematic designs. Unlike typical code synthesis ben…
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SPICE framework enhances multimodal learning with dynamic curriculum evolution
Researchers have introduced SPICE, a new framework for multimodal learning that dynamically adapts curriculum based on Partial Information Decomposition (PID) theory. This approach breaks down multimodal interactions in…
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Spice open-sources decision layer for AI agents
Spice is a new open-source decision layer designed to enhance the capabilities of existing AI agents. It acts as a "brain" that observes context, detects conflicts, simulates potential futures, and dispatches tasks to t…
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AI model accelerates ferroelectric NAND retention analysis over 10000x faster than TCAD
Researchers have developed a novel Physics-Informed Neural Operator (PINO) model to accelerate the analysis of data retention in ferroelectric vertical NAND (Fe-VNAND) flash memory. This AI surrogate model integrates fu…