Media Coverage

June 14, 2018

Near-Threshold Issues Deepen

Process variation plus timing are adding to low-power challenges at the most advanced nodes.
By Ann Steffora Mutschler
Semiconductor Engineering

June 8, 2018

The Week In Review: Design

Machine learning for signoff; last level cache; AI platform; SoftBank sells 51% stake in Arm China, but not source code.
By Jesse Allen
Semiconductor Engineering

June 7, 2018

Machine Learning’s Limits

Experts at the Table, part 1: Why machine learning works in some cases and not in others.
By Ed Sperling
Semiconductor Engineering

June 6, 2018

AI Comes to ASICs in Data Centers

A novice AI ASIC designer could be advised to lean on someone like eSilicon just as Nervana did. After all, the ASIC expert could give some comfort and solid technology foothold in AI ASICs backed by its own real-world experience.
By Junko Yoshida
EE Times

June 6, 2018

Being Intelligent about AI ASICs

eSilicon just announced an offering they call neuASIC that promises to give developers of AI ASICs much more flexibility, potentially huge gains in power efficiency and performance, and a well-thought-out methodology for implementation.
By Tom Simon
SemiWiki

June 5, 2018

Neural ASIC platform promises easy AI integration

The neuASIC platform is what independent IP provider eSilicon presents as a fundamentally new approach to building application-specific integrated circuits (ASICs) for artificial intelligence /neural network applications.
By Julien Happich
eeNews Europe

June 4, 2018

FPGAs Becoming More SoC-Like

“For AI, FPGAs are always going to be constrained both in capacity and performance, so you will not be able to really get to production-level specs with an FPGA. You can play with it and group things, but ultimately you’re going to have to get to an ASIC.”
By Ann Steffora Mutschler
Semiconductor Engineering

April 26, 2018

Deep Learning And The Future

Why are great strides in artificial intelligence and deep learning happening now?
By Mike Gianfagna, eSilicon Vice President, Marketing

Semiconductor Engineering

April 26, 2018

More Nodes, New Problems

Acceleration of advanced processes, skyrocketing complexity and cost, and concerns about IP availability are raising some difficult questions.
Semiconductor Engineering

April 2, 2018

How To Choose The Right Memory

Different memory types and approaches can have a big impact on cost, power, bandwidth and latency.
Semiconductor Engineering

March 26, 2018

When AI Goes Awry

So far there are no tools and no clear methodology to eliminating bugs. That would require understanding what an AI bug actually is.
Semiconductor Engineering

March 22, 2018

Applying Machine Learning To Chips

Goal is to improve quality while reducing time to revenue, but it’s not always so clear-cut.
Semiconductor Engineering

March 22, 2018

Deep Learning Market Forces

Managing the massive amounts of data generated today won’t come cheap.
By Mike Gianfagna, eSilicon Vice President, Marketing
Semiconductor Engineering

March 15, 2018

AI: The Next Big Thing

And it’s going to push the limit on semiconductor design, manufacturing and packaging.
Semiconductor Engineering

February 13, 2018

Go Big Or Go Home — Why eSilicon Went Big

Advanced communications, networking and machine learning accelerator systems all need complex chip designs and many times off-the-shelf chips aren’t sufficient. 
Forbes

January 8, 2018

Getting Serious About Chiplets

Issues involving known good die and test still remain, but the chiplet approach is getting a lot of interest.
Semi Engineering