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You asked, we listened. VMX will be available to run locally.
The following post is a result of my team launching a Kickstarter campaign two weeks ago and upgrading one of our rewards based on all the feedback we received from backers and potential backers. We...
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Tracking points in a live camera feed: A behind-the-scenes look at the VMX...
In our computer vision startup, vision.ai, we're using open-source tools to create a one-of-a-kind object recognition experience. Our goal is to make state-of-the-art visual object recognition as easy...
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Can a person-specific face recognition algorithm be used to determine a...
It's a valid question: can a person-specific face recognition algorithm be used to determine a person's race?I trained two separate person-specific face detectors. For each detector I used videos of...
View Article10% of our Kickstarter campaign total will go to free High School Student...
Dear Kickstarters, technology enthusiasts, and STEM educators,We’re happy to announce a new reward in our Kickstarter project, one designed for free access of our robotic vision technology to high...
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Sponsor Your Favorite Object Detector + VMX Smile Detector
Many of you asked if the VMX Project will come with an initial set of object detectors. Yes! VMX will come equipped with a library of pre-trained object detectors. We are committed to providing you...
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VMX is ready
I haven't posted anything here in the last few months, so let me give you guys a brief update. VMX has matured since the Prototype stage last year and the vision.ai team has already started circulating...
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Barcodes: Realtime Training and Detection with VMX
In this VMX screencast, witness the creation of a visual barcode detection program in under 9 minutes. You can see the entire training procedure -- creating an initial data set of labeled barcodes,...
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From feature descriptors to deep learning: 20 years of computer vision
We all know that deep convolutional neural networks have produced some stellar results on object detection and recognition benchmarks in the past two years (2012-2014), so you might wonder: what did...
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Deep Learning vs Machine Learning vs Pattern Recognition
Lets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the hottest tech-themes in 2015 (namely Robotics and...
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Mobileye's quest to put Deep Learning inside every new car
In Amnon Shashua's vision of the future, every car can see. He's convinced that the key technology behind the imminent driving revolution is going to be computer vision, and to experience this...
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Venture Pitch Contest at CVPR 2015 in Boston, MA
This year's CVPR will be in Boston, and as always, I expect it to be the single best venue to meet computer vision experts and see cutting edge research. I expect Google and Facebook to show off their...
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Three Fundamental Dimensions for Thinking About Machine Learning Systems
Today, let's set cutting-edge machine learning and computer vision techniques aside. You probably already know that computer vision (or "machine vision") is the branch of computer science / artificial...
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Deep Learning vs Probabilistic Graphical Models vs Logic
Today, let's take a look at three paradigms that have shaped the field of Artificial Intelligence in the last 50 years: Logic, Probabilistic Methods, and Deep Learning. The empirical, "data-driven", or...
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Making Visual Data a First-Class Citizen
“Above all, don't lie to yourself. The man who lies to himself and listens to his own lie comes to a point that he cannot distinguish the truth within him, or around him, and so loses all respect for...
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Deep Learning vs Big Data: Who owns what?
In order to learn anything useful, large-scale multi-layer deep neural networks (aka Deep Learning systems) require a large amount of labeled data. There is clearly a need for big data, but only a few...
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Dyson 360 Eye and Baidu Deep Learning at the Embedded Vision Summit in Santa...
Bringing Computer Vision to the ConsumerMike AldredElectronics Lead, Dyson LtdWhile vision has been a research priority for decades, the results have often remained out of reach of the consumer. Huge...
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Deep down the rabbit hole: CVPR 2015 and beyond
CVPR is the premier Computer Vision conference, and it's fair to think of it as the Olympics of Computer Vision Research. This year it was held in my own back yard -- less than a mile away from lovely...
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The Deep Learning Gold Rush of 2015
In the last few decades, we have witnessed major technological innovations such as personal computers and the internet finally reach the mainstream. And with mobile devices and social networks on the...
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ICCV 2015: Twenty one hottest research papers
"Geometry vs Recognition" becomes ConvNet-for-XComputer Vision used to be cleanly separated into two schools: geometry and recognition. Geometric methods like structure from motion and optical flow...
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The Future of Real-Time SLAM and Deep Learning vs SLAM
Last month's International Conference of Computer Vision (ICCV) was full of Deep Learning techniques, but before we declare an all-out ConvNet victory, let's see how the other "non-learning" geometric...
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Deep Learning Trends @ ICLR 2016
Started by the youngest members of the Deep Learning Mafia [1], namely Yann LeCun and Yoshua Bengio, the ICLR conference is quickly becoming a strong contender for the single most important venue in...
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Making Deep Networks Probabilistic via Test-time Dropout
In Quantum Mechanics, Heisenberg's Uncertainty Principle states that there is a fundamental limit to how well one can measure a particle's position and momentum. In the context of machine learning...
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Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016
You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level....
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DeepFakes: AI-powered deception machines
Driven by computer vision and deep learning techniques, a new wave of imaging attacks has recently emerged which allows anyone to easily create highly realistic "fake" videos. These false videos are...
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Computer Vision and Visual SLAM vs. AI Agents
With all the recent advancements in end-to-end deep learning, it is now possible to train AI agents to perform many different tasks (some in simulation and some in the real-world). End-to-end learning...
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