- NVIDIA's Jetson TX2: Embedded Designs Gain a Deep Learning Upgrade
- CEVA's XC12 DSP Core Targets Multi-Gbit Cellular, Wi-Fi Opportunities
- Jeff Bier’s Impulse Response—Will Deep Learning Displace All Other Computer Vision Techniques?
- Case Study: Hands-On Experience Delivers Insights Into Technologies and Trends for Deep Learning
- Himax, CEVA, emza Partner to Develop Low Power Vision Processing Platform
March 13, 2017 | Write the first comment.
Jetson TX2 is NVIDIA's latest board-level product targeted at computer vision, deep learning, and other embedded AI tasks, particularly focused on "at the edge" inference (when a neural network analyzes new data it’s presented with, based on its previous training) ( Figure 1
One of the most interesting resources for those interested in the rapidly growing field of deep learning is the " Cognitive Computing Startup List ," compiled by Chris Rowan of Cognite Ventures . As of February 21, Chris had identified 275 companies that are, in his words, "the most
It's remarkable to see the range of applications in which deep neural networks are proving effective – often, significantly more effective than previously known techniques. From speech recognition to ranking web search results to object recognition, each day brings a new product or
Image-sensor maker Himax, processor core vendor CEVA, and algorithm provider emza Visual Sense have partnered to develop a low-power "always on" vision sensor module with integrated visual analytics. The three companies offered a conceptual demonstration of the product, dubbed the
Case Study: Deep Understanding of Processor Architectures and Computer Vision Algorithms is Key to a Breakthrough Product
February 15, 2017 | Write the first comment.
Computer vision promises to be the key to the next set of "killer apps"—computer vision-enabled apps that will leverage artificial intelligence to help keep us safer and healthier. But computer vision algorithms are compute- and power-intensive, and need to process large amounts of
At this year’s Consumer Electronics Show, I walked many miles and saw countless demos. Several of these demos were memorable, but one in particular really got my mental gears turning: Microsoft’s HoloLens. HoloLens, of course, is Microsoft’s “mixed reality”
Earlier this week, Google announced the spin-off of its self-driving car project into a stand-alone business. Will Google become a major player in the automotive industry? Today, that idea seems far-fetched. On the other hand, 15 years ago Apple was a personal computer company, and few would have
Look back over the history of processors, and you'll see many examples of tasks initially restricted to running on high-end processors that, once they became popular and standardized, eventually attracted specialized co-processor or processor support ( Figure 1 ). Consider, for example, video
Processor vendors and system designers share a common concern: how to make sure their products meet customer needs. For processor vendors, a key challenge is to design architectures with enough performance to meet the demands of current and anticipated applications while staying within acceptable
For humans, it goes without saying that vision is extremely valuable. When you stop to think about it, it’s remarkable what a diverse set of capabilities is enabled by human vision – from reading facial expressions, to navigating complex three-dimensional spaces (whether by foot,