- NVIDIA Toolsets Target GPU Acceleration of Deep Learning, Other Algorithms for High-Performance Computing
- Jeff Bier’s Impulse Response—Neural Network Processors: Has Their Time Come?
- Case Study: Algorithm Optimizations Efficiently Utilize Processor Features
- Analog Devices' SHARC Doubles Up, Adds ARM Option
- CogniVue's "Opus" APEX Generation 3: Vision Processing With Implementation Flexibility
Lately, neural network algorithms have been gaining prominence in computer vision and other fields where there's a need to extract insights based on ambiguous data. As I wrote last year , classical computer vision algorithms typically attempt to identify objects by first detecting small
Jeff Bier’s Impulse Response—What Does Semiconductor Industry Consolidation Mean for Embedded Systems Designers?
The semiconductor industry has been on a head-spinning merger binge lately. NXP is acquiring Freescale. Avago is acquiring Broadcom. Intel is acquiring Altera. Much has been written about the motivations for these mergers, and about the implications for investors in the merged firms. But so far,
These days we all have smart phones. Smart watches recently received a big boost with Apple's entry. And there is much talk of smart cities, smart factories, smart homes, smart trash receptacles...there's even a smart pacifier for your baby. I'm starting to feel like the term
It's now very clear that computer vision is becoming a mass-market technology. Modern, practical computer vision (or, "embedded vision," as I prefer to call it) is rapidly becoming essential in cars, for example, where it enables a host of valuable safety features. In smartphones,
In many applications of digital signal processing – such as speech recognition and computer vision – the essential objective is to distinguish objects of interest, such as words or faces. This can be very challenging in real-world situations where objects of interest are distorted
If you frequently travel across many time zones, you've probably had the unsettling experience of waking at an odd hour and being uncertain about where exactly you are. If you're like me, your instinctive solution to this confusion is to turn on a light and look around. Instantly, you
Longtime readers of this column will know that I've been predicting the proliferation of visual intelligence in a wide range of products – including consumer electronics – for a few years now. Over that time, there have been a few high-profile successes of vision in consumer
The phrase "garbage in, garbage out" is usually associated with writing and using computer programs. In fact, the concept originated with Charles Babbage, inventor of the first computer. Amusingly, Babbage wrote: On two occasions I have been asked, 'Pray, Mr. Babbage, if you put
My colleagues and I at BDTI recently completed a project to help a chip company select a licensable processor core to perform computer vision functions in a new SoC design. In the process, we learned many things about these processors. But, more interesting to me, we also learned something about
One of the things I find endlessly fascinating about digital signal processing is that it enables using computation to offset physical limitations. For example, with the right signal processing, you can get awesome sound out of tiny, inexpensive loudspeakers , like those that fit into a smartphone