GitHub

vlsi-digital-electronics-verilog-career-learning

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IEEE

Machine Learning-Driven Paradigms in VLSI Design: Exploring the Synergy with Pruning for Optimal Circuit Efficiency

Abstract: This survey paper explores the intersection of machine learning and VLSI design, shedding light on the evolving landscape of innovative methodologies. The initial focus is on papers ...
TechSpot

Intel wins crucial verdict in legal fight against patent troll VLSI

In a nutshell: Despite existing as little more than an empty shell under the control of the private equity firm Fortress Investment Group, VLSI continues to pursue billions of dollars from Intel.
IEEE

Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper

Abstract: Reinforcement learning (RL) has gained attention recently as an optimization algorithm for chip design. This method treats many chip design problems as Markov decision problems (MDPs), where ...
IEEE

Machine Learning and Deep Learning Systems: Low Energy VLSI Architectures and Applications

Disclaimer: We may decline posting of material for quality, editorial and / or legal considerations, ...