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Artificial Intelligence is Transforming How We Live

Posted by Danielle Leger

Jun 23, 2017 9:45:36 AM

 

The AI Transformation

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Topics: artificial intelligence

10 Possible Pitfalls of Autonomous Vehicles

Posted by Nadeesha Thewarapperuma

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.

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Topics: FPGA

Machine Learning will soon make the Humanoid Robot a Reality

Posted by Nadeesha Thewarapperuma

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.

 

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Topics: FPGA

Power Supply Units Available: RSC00-80GAD3-US

Posted by Danielle Leger

Jun 14, 2017 11:33:40 AM

 
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ProNova SC360 will make proton therapy more accessible to patients by using Xilinx Spartan-6 FPGA

Posted by Danielle Leger

Jun 12, 2017 8:26:19 AM

 

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Topics: FPGA

Xilinx Powers Autonomous Cars and other FPGA Applications

Posted by Danielle Leger

Jun 7, 2017 8:52:00 AM

 

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Topics: FPGA, ADAS, Autonomous Driving

4 Intriguing Machine Learning Applications Enabled by FPGA

Posted by Danielle Leger

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: 

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Topics: FPGA

Xilinx FPGA's Zynq SOC used to enable Artificial Organ Systems

Posted by Nadeesha Thewarapperuma

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.

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Topics: FPGA, xilinx

Intel provides a Deeper Understanding of Vehicle ADAS Systems

Posted by Nadeesha Thewarapperuma

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.

 

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Topics: FPGA, ADAS, Autonomous Driving

3 Amazing FPGA Projects Happening Right Now

Posted by Nadeesha Thewarapperuma

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.

  • It can be used as a safety and security measure. In addition to biometric trackers, companies can install a facial recognition tool to grant or deny access to certain employees.
  • Facial recognition will go hand-in-hand with any vehicle ADAS system. Car manufacturers can install the system to detect instances of driver drowsiness. If the vehicle's ADAS system detects drowsiness, it can activate an alarm system, prompting the driver into alertness.
  • Facial recognition can also be used in a virtual reality environment, a hands-free environment and in robotics.

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.

 

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Topics: FPGA

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