Like many developers exploring the world of wearables, I’m an avid fan of apps that track your exercise. Companies like Strava & Runkeeper have paved the way for what we can do with motion and health data, creating new and… Continue reading Introduction to Apple WatchKit with Core Motion — Tracking Jumping Jacks
Build a program synthesis tool, to generate programs from specifications, in 20 lines of code using Rosette.
Posted by Ekin Dogus Cubuk, Google AI Resident and Barret Zoph, Research Scientist, Google Brain Team The success of deep learning in computer vi...
By Stefania Druga Graduate Student, Personal Robots Group LEGO Papert Fellow 2018
Posted by Rahul Garg, Research Scientist and Neal Wadhwa, Software Engineer Portrait Mode on the Pixel smartphones lets you take professional-looki...
These are some of the most amazing generated images I’ve ever seen. Introducing BigGAN, a neural network that generates high-resolution, sometimes photorealistic, imitations of photos it’s seen. None of the images below are real - they’re all generated by BigGAN.
Posted by Carl Vondrick, Research Scientist, Machine Perception Tracking objects in video is a fundamental problem in computer vision, essential to...
Neural network-based models continue to achieve impressive results on longstanding machine learning problems, but establishing their capacity to reason about abstract concepts has proven difficult. Building on previous efforts to solve this important feature of general-purpose learning systems, our latest paper sets…
Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence research. Recently, there has been a lot of excellent progress, with agents like DQN able to use the same algorithm to learn to play multiple games including Breakout and…
For the past 9 months I have been presenting versions of this talk to AI researchers, investors, politicians and policy makers. I felt it was time to share these ideas with a wider audience. Thanks to the Ditchley conference on Machine Learning in 2017 for giving me a fantastic platform to get ear
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This is the first of a two-part series about Bayesian bandit algorithms. Check out the second post here. Let’s talk about Bayesianism. It’s developed a reputation (not entirely justified, but not entirely unjustified either) for being too mathematically sophisticated or too computationally intensive to work at scale…
· Read in · 1499 words · All posts in series · [dropcap]This[/dropcap] trick is unlike the others we’ve conjured. It will not reveal a clever manipulation of a probability or an integral or a…
By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1 Introduction Collectively, machine learning (ML) researchers are engaged in
Figure from our paper: given any waveform, we can modify it slightly to produce another (similar) waveform that transcribes as any different target phrase.
For the past year, I’ve been working on implementing well known model architectures and building web applications, so I have a fair amount…
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Learn the historical reason OpenCV stores color images in BGR order instead of RGB, from early camera formats to compatibility decisions.
Suggested Citation: Bai, H. (2018) Evidence that A Large Amount of Low Quality Responses on MTurk Can Be Detected with Repeated GPS Coordinates. Retrieved from: https://www.maxhuibai.com/blog/evidence-that-responses-from-repeating-gps-are-random
Improving artificial intelligence research with scientific testing, design practice, and meta-rational choice of methods and criteria
Recent incident where Uber car was involved in an accident where a cyclist got killed has sparked many comments and opinions. Many blame…
Apple introduced the “Hey Siri” feature with the iPhone 6 (iOS 8). This feature allows users to invoke Siri without having to press the home…
