Quilter's AI just designed an 843‑part Linux computer that booted on the first try. Hardware will never be the same.

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...
GitHub

Draw Euler diagrams and Venn diagrams with Matplotlib.

Euler and Venn diagrams are used to visualise the relationships between sets. Both typically employ circles to represent sets, and areas where two circles overlap represent subsets common to both ...
Building DesignOpinion

‘They’re a demanding group of people’… Keeping the scientists happy at the University of Cambridge’s new Ray Dolby Centre

Architects Jestico + Whiles were challenged to make the Cavendish Laboratory's science accessible to the public while meeting ...
Morning Overview on MSN

Forgotten scientist may have cracked life’s origin 50 years ago

Half a century ago, a quiet theorist working far from the big Western labs proposed a radical answer to one of science’s ...
GitHub

SantosVilanculos/plantuml-to-drawio

Java: The script relies on the PlantUML JAR, which requires a Java Runtime Environment. Tested with OpenJDK 21 and Amazon Corretto 17.
The Register on MSN

SK hynix wants you to bond with HBM, so it coated corn in banana chocolate

Pushes semiconductor familiarity via chip-shaped edible squares SK hynix has launched HBM-themed square corn snacks at 7-Eleven, because nothing explains bandwidth like carbs and chocolate.… The South ...
IEEE

Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists

Abstract: Large Language Model (LLM) exhibits great potential in designing of analog integrated circuits (IC) because of its excellence in abstraction and generalization for knowledge. However, ...
eLife

Multiscale dynamical characterization of cortical brain states: from synchrony to asynchrony

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...
IEEE

Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement with Minimal Data Input

Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...