A Framework That Generates Chip Layouts Directly From Natural Language Specifications (U. of Bristol, RAL)


A new technical paper, "NL2GDS: LLM-aided interface for Open Source Chip Design," was published by researchers at University of Bristol and Rutherford Appleton Laboratory. Abstract "The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (... » read more

An LLM-based Agentic Framework For Photonic IC Design Automation (U. of Toronto, Max Planck, MIT Et Al.)


A new technical paper titled "AI Agents for Photonic Integrated Circuit Design Automation" was published by researchers at the University of Toronto, Max Planck Institute of Microstructure Physics, GDSFactory, MIT and Axiomatic_AI Inc. Abstract "We present Photonics Intelligent Design and Optimization (PhIDO), a multi-agent framework that converts natural-language photonic integrated circui... » read more

AI’s Role In Chip Design Widens, Drawing In New Startups


Using AI in EDA is reinvigorating the whole tools industry, prompting established players to upgrade their tool offerings with AI/ML features, while drawing in startups trying to carve out differentiated approaches to fill unaddressed gaps with new tools and methodologies. Today’s new generation of entrepreneurs is comprised of both young post-grads with innovative ideas and industry veter... » read more

The New Voice Of The Embedded Intelligent Assistant


As intelligent assistance is becoming vital in our daily lives, the technology is taking a big leap forward. Recognition Technologies & Arm have published a white paper that provides technical insight into the architecture and design approach that’s making the gateway a more powerful, efficient place for voice recognition. Some topics covered include: Why knowing who is speaking is i... » read more

How Neural Networks Think (MIT)


Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more