The AI Transformation
Jun 23, 2017 9:45:36 AM
Topics: artificial intelligence
Jun 20, 2017 12:45:19 PM
The hype surrounding autonomous vehicles is almost always positive, and that's understandable. The thought of actually seeing a Jetson's-like vehicle (minus the airborne features) is pretty exciting. It means we're living in the future. Ten years ago, the thought of a self-driving vehicle was just a concept, but already, companies have progressed at alarming leaps and bounds, paving the way for a future filled with driverless vehicles.
Jun 17, 2017 2:01:41 PM
How is machine learning being used today? This blog is based off an article by the Economic Times.
Jun 12, 2017 8:26:19 AM
Jun 7, 2017 8:52:00 AM
Jun 5, 2017 8:18:46 AM
Machine learning applications are rapidly expanding across a growing number of end markets. Some of these end markets include:
Jun 4, 2017 9:49:38 AM
One of the negative side-effects of today's treatment options is that we don't always know the effect that certain drugs or treatments will have on our body. In a sense, we are the test subject.
May 31, 2017 11:55:04 AM
At this stage, the companies invested in ADAS (Advanced Driver Assist Systems) are more interested in collecting data.
While there are trial runs in place, these are in place to collect data. One of the more invested companies, Intel produces programmable logic devices (PLD), MAX® CPLDs, Cyclone®, and MAX 10 family of FPGAs and SoC, and other devices that can control everything from infotainment to the radar controlled braking systems. Xilinx, alternatively, offers Zynq UltraScale+ MPSoC as well as a plethora of other solutions in the ADAS arena.
Intel provides a brief overview of what the company expects from current ADAS trials.
At this deployment stage, the algorithms behind ADAS systems are designed to capture anomalies and store this information. Each anomaly or unique situation will be analyzed, and an appropriate response will be determined. There are several benefits that come along with having this sort of system in place.
1) The ADAS system will 'learn' the appropriate response for each unique situation.
2) By having different scenarios in place and learning more about the appropriate response to each, the ADAS system can react effectively and quickly in response to other familiar stimuli.
May 23, 2017 12:06:17 PM
1) Vision-based Facial Tracking
Developers are using Xilinx's Zynq-7000 all-programmable SoC to draw a 3-dimensional map of a face. The project will have a variety of applications.
The system works by creating a 3D map of the individual's face and head shape. It can also track and predict various facial expressions, including eyebrow contours, mouth shape, chin pose, and gaze direction.