Introduction to Processing Course

Introduction to Processing Course
by Semitracks Inc. on 03-02-2020 at 9:00 am

Semiconductor and integrated circuit developments continue to proceed at an incredible pace. The industry as a whole has gotten to this point of incredible complexity through the process of countless breakthroughs and developments in wafer fab processing. Today’s wafer fab contains some of the most complex and intricate procedures… Read More


New Architectures for Automotive Intelligence

New Architectures for Automotive Intelligence
by Tom Simon on 03-14-2018 at 12:00 pm

My first car was a used 1971 Volvo 142 and probably did not contain more than a handful of transistors. I used to joke that it could easily survive the EMP from a nuclear explosion. Now, of course, cars contain dozens or more processors, DSP’s and other chips containing millions of transistors. It’s widely expected that the number … Read More


Processing Power Driving Practicality of Machine Learning

Processing Power Driving Practicality of Machine Learning
by Tom Simon on 03-02-2018 at 7:00 am

Despite their recent rise to prominence, the fundamentals of AI, specifically neural networks and deep learning, were established as far back as the late 50’s and early 60’s. The first neural network, the Perceptron, had a single layer and was good certain types of recognition. However, the Perceptron was unable to learn how to… Read More


Increased Processing Power Moves to Edge

Increased Processing Power Moves to Edge
by Tom Simon on 02-06-2018 at 12:00 pm

Recently there has been a lot of buzz about 5G networks. Aside from the talk about it possibly being nationalized, 5G will be a lot different than its predecessors. Rather than a single data link in a predetermined band, 5G will consist of a web of connections all working together to support existing types of data traffic and many new… Read More


Synopsys discusses the challenges of embedded vision processing

Synopsys discusses the challenges of embedded vision processing
by Tom Simon on 11-01-2017 at 12:00 pm

Before the advent of convolutional neural networks (CNN), image processing was done with algorithms like HOG, SIFT and SURF. This kind of work was frequently done in data centers and server farms. To facilitate mobile and embedded processing a new class of processors was developed – the vision processor. In addition to doing a … Read More