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Tag: Computer Vision

AI Under the Hood: Flippy the Robot
In this installment of “AI Under the Hood” I introduce "Flippy" by Miso Robotics. Flippy works in fast-food kitchens, operating a frying station for example. The product was decades in the making in terms of research in robotics and machine learning. Flippy is an amalgamation of motors, sensor, chips and …
Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment
Will a network trained with fake data be able to generalize to the real world?Lauren Holzbauer was an Insight Fellow in Summer 2018.Today, I don’t think twice about walking into any gym, assessing the equipment, and throwing a really good workout together, but it hasn’t always been that way. The …
Convolutional Neural Networks Explained…with American Ninja Warrior
Let’s use our ninja skills to figure out what CNNs are really doing.Lauren Holzbauer was an Insight Fellow in Summer 2018.By this time, many people know that the convolutional neural network (CNN) is a go-to tool for computer vision. But why exactly are CNNs so well-suited for computer vision tasks, …
Can ML/AI help regulate traffic?
Imagine that you can avoid city traffics entirely, by using an AI/ML app that will help you predict future congestion... this is an article about how to go about that!
How to train your own YOLOv3 detector from scratch
This comprehensive and easy three-step tutorial lets you train your own custom image detector using YOLOv3. The only requirement is basic familiarity with Python.Our input data set are images of cats (without annotations).As an example, we learn how to detect faces of cats in cat pictures. Given the omnipresence of …
Deep learning for improved breast cancer monitoring using a portable ultrasound scanner
About 1 in 8 U.S. women will develop invasive breast cancer during their lifetimes. It’s the second leading cause of cancer death for women in the U.S. Ultrasound imaging is a noninvasive medical imaging technique used for breast cancer screening. At Insight, I worked on a consulting project with a …
Develop Multiplatform Computer Vision Solutions with Intel® Distribution of OpenVINO™ Toolkit
Realize your computer vision deployment needs on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and much more. The Intel® Distribution of OpenVINO™ Toolkit (includes the Intel® Deep Learning Deployment Toolkit) allows for the development of deep learning inference solutions for multiple platforms.
Transfer Learning With PySpark
A demonstrates on a Computer Vision problem with the power to combined two state-of-the-art technologies: Deep Learning with Apache Spark.
End-to-End Object Detection for Furniture Using Deep Learning
Computer vision is a rapidly growing field in the technology and computer science world. It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. More recently, companies like Amazon opened a cashier-less grocery store that …
Developing Perceptive Machines that See and Reason Like Humans
The National Science Foundation has awarded computer scientist Subhransu Maji at the University of Massachusetts Amherst its Faculty Early Career Development (CAREER) award, a five-year, $545,586 grant, to support his work in computer vision and artificial intelligence (AI).
How I built a receipt chatbot over a weekend
Demo of the chatbot (https://www.youtube.com/watch?v=6stlktHL9-g) Last week my microwave stopped working so I went to Big W to get a replacement. As expected, they asked for the receipt which I did...
5 Tips To Learn Machine Learning
The progress that machine learning has made in past decade strikes everyone as genuine and astounding. Tons of libraries, architectures and mathematical equations have been developed to support...
Building a Deep Neural Network to play FIFA 18
A.I. bots in gaming are usually built by hand-coding a bunch of rules that impart game-intelligence. For the most part, this approach does a fairly good job of making the bot imitate human-like...