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5 Ways Technology Will Soon Change Our World

Posted by Danielle Leger

Jun 28, 2017 9:05:00 AM

We have come a long way since the first cell phone was created. As technology changes the way we live our day-to-day lives, it is interesting and fun to imagine what the future will bring. We may like to imagine one day living on Mars with technology that lets us teleport and live life like The Jetsons.


1. Experimentation with teleporting.

Recent research related to the Higgs Boson particle, will help forward actual experimentation with teleporting. The idea is that turning off the Higgs Boson particle could let you travel at the speed of light and essentially teleport. It will only be at the beginning of testing, but there is a good chance there will be significant investing in testing teleportation.


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Topics: technology, machine learning

3 Niche Areas that Machine Learning is Poised to Dominate

Posted by Nadeesha Thewarapperuma

Jun 27, 2017 11:42:50 AM


AI technology is spreading into the most obscure industries. Here are 3 niche areas that machine learning will soon dominate.


Machine learning will be used to determine the next big thing in the fashion industry

India-based designers, Shane and Falguni Peacock, rely on IBM's Watson for newest fashion trend.

Here's how it works: IBM's Watson will sift through a variety of consumer pictures, searching for items that are popular among consumers. Watson will go through millions of images, tagging the most liked and shared images uploaded online. Popular items may have a certain shape and cut to them, an attractive pattern, or the material being used may be more comfortable and durable when compared with something similar. The trick is to learn what the consumer likes, produce the item, and market it.

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Topics: FPGA, machine learning

Apple Shows Interest in Machine Learning for Their Autonomous Car

Posted by John Pallazola

Jun 27, 2017 8:27:00 AM

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Topics: machine learning, technology, ADAS, Autonomous Driving

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, machine learning

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, machine learning

Eight Cutting-Edge Technologies that use FPGA

Posted by Nadeesha Thewarapperuma

May 11, 2017 10:48:43 AM


1) Ultra-fast financial transactions

The hardware behind these systems are enabled using FPGA. When it comes to automated financial trading, your success depends on the speed and accuracy of a transaction. FPGA are used to build systems which enable low-latency.

Xilinx's 7-series FPGA are used to power these systems. The Virtex-7 families, Kintex-7, and Zynq 7000 SoC are used to build financial trading platforms.


2) Machine learning

Image search engines are becoming more sophisticated with each passing day. Search engines are now built using deep neural networks, allowing machines to learn as they go along. Nowadays, image searches are faster and more accurate compared to what had been there ten years ago.

Xilinx's Virtex Ultrascale+ FPGA are used to enable the sophistication required by a heavy-duty machine learning platform.



3) Artificial Intelligence

The task of building a true, sentient being is not easy, but a lot of companies are taking up the challenge. Right now, companies are building robots that are specialized to handle a single type of task. By focusing on one special task, the robot can be built to handle all dynamics around that task, things ranging from different scenarios to learning opportunities.


4) Internal Applications

This goes along with the financial trading platform. Often, companies need software and hardware that is custom-built to meet the company's needs. These specialized systems are built to meet the needs of the company, depending on the budget on hand and the performance level that is required.


5) Healthcare Products

Healthcare will be one of the fastest growing markets in the world. Machines will be used along with healthcare services. Advanced healthcare machines are now built to provide diagnoses, saving patients the time and money of obtaining a second opinion.

Read our recent blog on FPGA use in 2017.


6) Autonomous Vehicles

The hardware behind ADAS systems will also require a high-end FPGA, preferably one that can handle and process large amounts of data in a matter of seconds and then make an accurate decision based on input from the outside world. An ADAS system will also be enabled with deep neural networks, allowing the system to learn from experience.

This is one of the reasons why companies like BMW, Google, Uber and Tesla are relying on hours and hours of prototype driving. As the ADAS system learns, it will know how to react to certain situations.


7) Drone advancement

There's talk that drones should operate so that it's like a flock of birds. Right now, lone drones are sent on high-profile missions, but a single drone is easier to target and eliminate. When there are multiple drones around, it is much easier to complete a mission.


8) Wireless networking

5G systems are already in test phase and will be introduced by the year 2020. 5G systems will be used to enable communication between IoT devices, ensuring speed, accuracy and low-latency.


Are you in the market for FPGA? Search through our index list to see if the part you are looking for is available.


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Topics: FPGA, Autonomous Driving, ADAS, machine learning

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