Autonomous Driving, Let’s Be Realistic!

Autonomous Driving, Let’s Be Realistic!
by Eric Esteve on 11-22-2016 at 12:00 pm

Last week I have attended to the webinar from CEVA ““Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform” and I loved that I have heard and seen. For the first time since I read about autonomous driving, I have seen a realistic roadmap and not a geek’s fantasy, suggesting that you… Read More


FPGAs for a few thousand devices more

FPGAs for a few thousand devices more
by Don Dingee on 10-24-2016 at 4:00 pm

An incredibly pervasive trend at last year’s ARM TechCon was the IoT, and I expect this year to bring even more of the same, but with a twist. Where last year was mostly focused on ultra-low power edge devices and the mbed ecosystem, this year is likely to show a better balance of ideas across all three IoT tiers. I also expect a slew of … Read More


SOC Design Techniques that Enable Autonomous Vehicles

SOC Design Techniques that Enable Autonomous Vehicles
by Tom Simon on 10-11-2016 at 4:00 pm

Robots – we have all been waiting for them since we were young. We watched Star Wars, or in the case of the slightly longer-lived of us, we watched Forbidden Planet or Lost in Space. We knew that our future robot friends would be able to move around and interact with their environment. What we did not foresee long ago was that instead of… Read More


Processors, Processors, Processors Everywhere

Processors, Processors, Processors Everywhere
by Tom Simon on 10-06-2016 at 7:00 am

At first glance a processor conference might seem a bit arcane, however we live in an era where processors are ubiquitous. There is hardly any aspect of our lives that they do not touch in some way. Last week at the Linley Processor Conference the topics included deep learning, autonomous driving, energy, manufacturing, smart cities,… Read More


10 signs on the neural-net-based ADAS road

10 signs on the neural-net-based ADAS road
by Don Dingee on 06-24-2016 at 12:00 pm

Every day I read stuff about the coming of fully autonomous vehicles, and it’s not every day we get a technologist’s view of the hurdles faced in getting there. Chris Rowen, CTO of Cadence’s IP group, gave one of the best presentations I’ve seen on ADAS technology and convolutional neural networks (CNNs) at #53DAC, pointing… Read More


Cadence loads up on MACs for vision with CNNs

Cadence loads up on MACs for vision with CNNs
by Don Dingee on 05-02-2016 at 4:00 pm

For vision DSP IP running convolutional neural networks (CNNs), a big driver of performance is increasing the bits processed per cycle with parallel MACs. Tom Simon did a great job in recent posts of introducing CNNs at a high level, so I’ll look at what is architecturally behind Cadence’s latest announcement: the Tensilica Vision… Read More


Microsoft Cloud-based Connected Car Service Insights from Patents

Microsoft Cloud-based Connected Car Service Insights from Patents
by Alex G. Lee on 01-21-2016 at 4:00 pm

Microsoft patent application US20150262486 and patents US9092984 and US9218740 illustrate a cloud computing service to assist drivers with respect to improving driver safety. The cloud-based driver assistive system can warn drivers upon impending collisions.

The cloud-based driver assistive system includes many grid… Read More


Chips on the road to deep learning

Chips on the road to deep learning
by Don Dingee on 01-20-2016 at 7:00 am

CES has been morphing into an automotive show for several years now. Chipmakers were pitching control solutions, infotainment solutions, then connectivity solutions. Phone makers pitched device integration. Automotive electronics suppliers pitched MEMS sensors and cameras. Now, with a lot of pieces in place, the story … Read More


DSP gives Project Tango a power dip

DSP gives Project Tango a power dip
by Don Dingee on 12-24-2015 at 12:00 pm

Google’s Project Tango is a prime example of a sophisticated application pushing the boundaries of what is possible within the power envelope of a mobile device. Its objective is to combine 3D motion tracking with depth sensing to understand how a device is moving and gauge its surroundings precisely.… Read More


Tensilica 4th generation DSP IP is a VPU

Tensilica 4th generation DSP IP is a VPU
by Eric Esteve on 10-12-2015 at 7:00 am

You may not know Tensilica DSP IP core, but you probably use Tensilica DSP powered systems in your day to day life. Every year, over 2 billion DSP cores equip IC in thousands of designs supporting IoT, Mobile Phones, Storage/SSD, Networking, Video, Security, Cameras… and more. Why DSP processing, the foundation of all Tensilica… Read More