Recently, machine learning (ML) techniques have attracted the VLSI CAD community and are found to be very effective in solving VLSI CAD problems. However, very few works attempted to solve on-chip ...

In the paper published in SCIENCE CHINA Information Sciences, a research group releases the first open-source dataset for machine learning applications in fast chip design (a.k.a. AI for EDA ...

One area of hardware engineering where artificial intelligence and machine learning haven't had a big impact is design verification. This article discusses the potential advantages of AI/ML for ...

The advancements in VLSI design, particularly in emulation and FPGA prototyping, are transforming the semiconductor industry. With top experts like Kunal Doshi leading the way, the future of chip ...

“Machine learning started to get useful in the 1990s,” said Aki Fujimura, chief executive of D2S. “But that has changed in the last six years with the advent of GPUs. GPUs enabled deep learning to ...

Embedded Systems & VLSI Design: ... Samsung, etc. have started producing their own Machine Learning and Artificial Intelligence accelerators with the growing market for ML and AI.

Gate sizing is a fundamental technique in VLSI design, where the dimensions of transistors and gates are carefully adjusted to achieve optimal performance, minimise power consumption and reduce delay.

As a result, disciplines like artificial intelligence and machine learning, data analytics, and scientific simulations have advanced significantly. Applications of VLSI technology. VLSI technology has ...

By Ambuj Nandanwar, Softnautics a MosChip Company In the dynamic world of VLSI (Very Large-Scale Integration), the demand for innovative products is higher than ever. The journey from a concept to a ...