I mentioned adversarial learning in an earlier blog, used to harden recognition systems against bad actors who could use slightly tweaked images to force significant misidentification of objects. It’s now looking like methods of this nature aren’t just an interesting sidebar on machine learning, they are driving major advances… Read More
Tag: deep learning
The Other Half of AI
I touched earlier on challenges that can appear in AI systems which operate as black-boxes, particularly in deep learning systems. Problems are limited when applied to simple recognition tasks, e.g. recognizing a speed limit posted on a sign. In these cases, the recognition task is (from a human viewpoint) simply choosing from… Read More
NVIDIA’s Deep Learning GPUs Driving Your Car!
In a recent SemiWiki article it was noted that 5 of the top 20 semiconductor suppliers are showing double-digit gains for 2016. At the top of the list was NVIDIA with an annual growth rate of 35%. Most of this gain is due to sales of its graphics processors (GPUs) which one normally associates with high performance computer gaming engines.… Read More
Autonomous Driving, Let’s Be Realistic!
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
CEVA Webinar: Vision Based Autonomous Driving
CEVA Webinar “Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform” will be held on November 16[SUP]th[/SUP] and will address one of the hottest topics today in our industry, probably the hottest in the automotive industry as all the players are working hard on autonomous vehicles.… Read More
Semiconductor C-level Executives Explore the Seventh Sense!
The GSA US Executive Forum is in its 5[SUP]th[/SUP] year. It is a time for top level semiconductor executives to meet and try to make sense of a very complex and fast moving industry that has tremendous influence on modern day life. You can see a list of attendees with bios and pictures HERE. There is a lot to talk about (The Future of Drones… Read More
AI and the black box problem
Deep learning based on neural nets and many other types of machine learning have amazed us with their ability to mimic or exceed human abilities in recognizing features in images, speech and text. That leads us to imagine revolutions in how we interact with the electronic and physical worlds in home automation, autonomous driving,… Read More
Could Machine Learning be Available for Mass Market?
Machine Learning is at the hype peak, according with Gartner’s August 2016 Hype Cycle for Emerging Technologies. The demand for vision processor IP is strong in smartphone, automotive and consumer electronics segments. ASSP based solutions can make the job, but how can OEM create differentiation, control their destiny and … Read More
NVIDIA looks inside Parker and automotive-grade
‘Parker’ is a fascinating name for a chip designed for autonomous vehicles – more likely, the project name was pulled off a map as a bedroom community near Denver. First highlighted on the roadmap in 2013, and advertised as inside the DRIVE PX 2 platform shown at CES 2016, NVIDIA revealed some details of Parker at Hot Chips 2016.… Read More
What is Deep Learning?
Deep learningis an emerging topic in artificial intelligence (AI). A subcategory of machine learning, deep learning deals with the use of neural networks to improve things like speech recognition, computer vision, and natural language processing. It’s quickly becoming one of the most sought-after fields in computer… Read More