Design And Reuse

AI in VLSI Physical Design: Opportunities and Challenges

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI ...
IPWatchdog

Appealing Designs: Federal Circuit Goes Back to School on Design Patents

“What frustrates design patent stakeholders more broadly is attempting to reconcile widely divergent infringement outcomes between cases of differing closeness, making it more difficult to judge ...
Frontiers

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
Law

Lack of Causation Experts Does Not Knock Out Plaintiff's Defective Gun Design Claims, 3rd Circuit Rules

“This is an important opinion to shut the door on Sig's arguments that, in nearly any product liability case, you can't have causation go to the jury without experts explaining exactly what happened,” ...
EDN

Basic design considerations for anti-tampering circuits

Tamper detection devices, commonly built around switches and sensors, employ several techniques according to design specifications and operating environments. T. K. Hareendran examines several ...
techtimes

Advancements in VLSI Design and Emulation: A Deep Dive with VLSI Expert Kunal Doshi

Imagine a world where the chips powering your smartphones, computers, and even cars are designed and tested with unparalleled precision and speed. Welcome to the realm of Very Large Scale Integration ...
Frontiers

Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency

Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...
IEEE

Dual Multimodal Fusions With Convolution and Transformer Layers for VLSI Congestion Prediction

Abstract: In very large scale integration (VLSI) circuit physical design, precise congestion prediction during placement is crucial for enhancing routability and accelerating design processes.
IEEE

Application of Machine Learning Approaches for Power Estimation of Digital VLSI Circuits at Register Transfer Level

Abstract: In VLSI, estimation of power, performance, and area at appropriate steps during the design process is necessary to meet required specifications. In digital VLSI circuit design, early-stage ...