Using ML to Build Efficient Low Power Platforms for Augmented Vision

Using ML to Build Efficient Low Power Platforms for Augmented Vision
by Tom Simon on 04-16-2019 at 7:00 am

We are all pretty familiar with augmented reality, where real world images are overlaid with computer generated images, graphics and even audio. Of course, our first exposure to augmented reality might have been images of heads up displays in fighter jets or perhaps in the movie The Terminator. Augmented reality is moving rapidly… Read More


DSP SoC a la Française

DSP SoC a la Française
by Lauro Rizzatti on 02-04-2018 at 11:00 am

I enjoyed reading Eric Esteve’s article “ French Tech at CES, 2nd country after USA with 274 Start-Up at Eureka Park!” It brought back happy memories of my time at EVE until Synopsys purchased it in 2012.Here is another intriguing story by a French startup named VSORA and founded by Khaled Maalej with a team of scientists and engineers.Read More


CEVA ClearVox Simplifies Voice Pickup

CEVA ClearVox Simplifies Voice Pickup
by Bernard Murphy on 01-08-2018 at 7:00 am

Voice-based control is arguably becoming another killer app, or killer app-enabler in the very significant shifts we are seeing in automation. After a bumpy start in car feature control (for navigation, phone calls, etc) and early smartphone “intelligent” assistants, voice-based interfaces now seem to be maturing into a genuinely… Read More


CES Preview with Cadence!

CES Preview with Cadence!
by Daniel Nenni on 12-18-2017 at 7:00 am

The Consumer Electronics Show (CES) is in its 50th year believe it or not! The first one was in New York (1967) with 250 exhibitors and 17,500 attendees. Portable radios and TVs were all the rage followed by VCRs in 1970 and camcorders and compact discs in 1981. This year there will be 3,900+ exhibits and an estimated 170,000 attendees… Read More


DSP-Based Neural Nets

DSP-Based Neural Nets
by Bernard Murphy on 10-24-2017 at 7:00 am

You may be under the impression that anything to do with neural nets necessarily runs on a GPU. After all, NVIDIA dominates a lot of what we hear in this area, and rightly so. In neural net training, their solutions are well established. However, GPUs tend to consume a lot of power and are not necessarily optimal in inference performance… Read More


Semiconductor IP on Fortune’s 2017 100 Fastest-Growing Companies List!

Semiconductor IP on Fortune’s 2017 100 Fastest-Growing Companies List!
by Daniel Nenni on 10-04-2017 at 7:00 am

The Semiconductor IP market has always been a big draw for SemiWiki readership and I expect that to continue. One of the more interesting companies we have covered over the past 6+ years is CEVA, who is now on Fortune’s 2017 100 Fastest-Growing Companies List. In fact, CEVA is the ONLY semiconductor IP company on the list and they join… Read More


Active Voice

Active Voice
by Bernard Murphy on 06-08-2017 at 7:00 am

Voice activated control, search, entertainment and other capabilities are building momentum rapidly. This seems inevitable – short of Elon Musk’s direct brain links, the fastest path to communicate intent to a machine is through methods natural to us humans: speech and gestures. And since for most of us speech is a richer… Read More


CPU, GPU, H/W Accelerator or DSP to Best Address CNN Algorithms?

CPU, GPU, H/W Accelerator or DSP to Best Address CNN Algorithms?
by Eric Esteve on 05-25-2017 at 7:00 am

If you read an article dealing with Convolutional Neural Network (CNN), you will probably hear about the battle between CPU and GPU, both off-the-shelf standard product. Addressing CNN processing needs with standard CPU or GPU is like having to sink a screw when you only have a hammer or a monkey wrench available. You can dissert… Read More


Apple Going (IP) Vertical with no Imagination!

Apple Going (IP) Vertical with no Imagination!
by Eric Esteve on 04-03-2017 at 12:00 pm

What conclusion could we derive from the recent (April 3) PR from Imagination where we learn that the company “has been notified by Apple Inc. (“Apple”), its largest customer, that Apple is of a view that it will no longer use the Group’s intellectual property in its new products in 15 months to two years time, and as such will not be … Read More


Adding DSP hardware shrinks energy for MCU core

Adding DSP hardware shrinks energy for MCU core
by Don Dingee on 10-14-2016 at 4:00 pm

ARM’s Cortex-M4 processor core represented quite a breakthrough in digital signal controller technology when launched in 2010. Adding a single-cycle multiplier and SIMD instructions enabled basic DSP algorithms while retaining the low power benefits of an MCU. New technology circa 2016 – embedded programmable logic – can… Read More