tag: LLMs

Balancing Training, Quantization, And Hardware Integration In NPUs
By Ann Mutschler - 26 Jan, 2026 - Comments: 0

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor Engineering sat down to discuss this with Jason Lawley, director of product marketing, AI IP at Cadence; Sharad Chole, chief scientist and co-founder at Expedera; Steve Roddy, chief marketing officer at Qu... » read more

LLM- Based Techniques To Support Behavior-Driven Development For HW Design (U. of Bremen, DFKI)
By Technical Paper Link - 22 Dec, 2025 - Comments: 0

A new technical paper titled "LLM-based Behaviour Driven Development for Hardware Design" was published by researchers at University of Bremen/DFKI. Abstract "Test and verification are essential activities in hardware and system design, but their complexity grows significantly with increasing system sizes. While Behavior Driven Development (BDD) has proven effective in software engineerin... » read more

Data-Centric ML Compiler For PIM (U. of Toronto, Barcelona Supercomputing Center, ETH Zurich, Max Planck)
By Technical Paper Link - 19 Dec, 2025 - Comments: 0

A new technical paper titled "A Tensor Compiler for Processing-In-Memory Architectures" was published by researchers at University of Toronto, Barcelona Supercomputing Center, ETH Zurich, and the Max Planck Institute for Software Systems. Abstract "Processing-In-Memory (PIM) devices integrated with high-performance Host processors (e.g., GPUs) can accelerate memory-intensive kernels in Ma... » read more

AI Workloads at the Edge: Ensuring Performance, Privacy, and Security
By Ann Mutschler - 17 Dec, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss why some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president a... » read more

Generative AI In Chip Manufacturing
By Ed Sperling - 15 Dec, 2025 - Comments: 0

Generative AI is a natural-language or text-based query, predicting patterns based on a massive set of data. While most of the attention has been focused on chatbots and copilots, it also can be used to identify small, transient aberrations in semiconductor manufacturing that are otherwise difficult to find. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks ... » read more

Ensuring Accuracy in LLM-Generated Hardware Logic Design Automation (IBM Research)
By Technical Paper Link - 08 Dec, 2025 - Comments: 0

A new technical paper "Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation" was published by researchers at IBM Research. Abstract "We show for invertible problems that transform data from a source domain (for example, Logic Condition Tables (LCTs)) to a destination domain (for example, Hardware Description Language (... » read more

Optimizing AI Workloads For Edge Computing
By Ann Mutschler - 03 Dec, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

DeepSeek’s New AI Models: V3.2 and V3.2-Speciale
By Technical Paper Link - 01 Dec, 2025 - Comments: 0

DeepSeek published two new AI models: V3.2: Pushing the Frontier Of Open LLMs. The company claims the model "performs comparably to GPT-5." and V3.2-Speciale. DeepSeek claims the model "surpasses GPT-5 and exhibits reasoning proficiency on par with Gemini-3.0-Pro." Find the technical paper here and here.  "DeepSeek-V3.2 is our first model to integrate thinking directly into tool-us... » read more

LLMs on Analog In-Memory Computing Based Hardware (IBM Research, ETH Zurich)
By Technical Paper Link - 01 Dec, 2025 - Comments: 0

A technical paper titled "Analog Foundation Models" was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center. Abstract: "Analog in-memory computing (AIMC) is a promising compute paradigm to improve speed and power efficiency of neural network inference beyond the limits of conventional von Neumann-based architectures. However, AIMC intro... » read more

AI Plays Multiple Roles Within EDA
By Brian Bailey - 25 Nov, 2025 - Comments: 0

AI's infusion into our world may seem sudden and unexpected, but EDA has been quietly adopting it for more than a decade. What's changed is that it's now becoming more visible, thanks to increasingly powerful large language models (LLMs) and the need to apply them to increasingly challenging multi-physics problems. Two fundamental shifts underlie AI's increasing prominence. First, heat is be... » read more

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