April on /r/MachineLearning brings top posts in deep learning video tutorials and books, the TensorFlow Playground, deep conversation centered on an xkcd comic from 2014, Microsoft cognitive APIs, and a meta-conversation on the subreddit's direction. The Google Developer YouTube channel has launched a new video series, titled Machine Learning Recipes. There are 3 videos in the playlist, as of this writing. The series, hosted by Josh Gordon, consists of video topics such as "What Makes a Good Feature?" and "Visualizing a Decision Tree." This link is directly to the first of the videos.

He contributed to Mahout clustering, classification and matrix decomposition algorithms and helped expand the new version of Mahout Math library. Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, he built fraud detection systems for ID Analytics (LifeLock) and he has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he's not doing data science, he plays guitar and mandolin. Ellen Friedman is a consultant and commentator, currently writing mainly about big data topics.

Qualcomm Technologies, with the introduction of the Snapdragon Neural Processing Engine, is the first mobile SOC provider to offer a deep learning toolkit optimized for mobile. This SDK will allow OEMs to run their own neural network models on Snapdragon 820 devices such as smart phones, security cameras, automobiles and drones, all without a connection to the cloud. Common deep learning user experiences that can be realized with the SDK are scene detection, text recognition, object tracking and avoidance, gesturing, face recognition and natural language processing. The Zeroth Machine Intelligence Platform is a Snapdragon-optimized software platform designed for mobile machine learning. Zeroth technology currently drives visual intelligence software such as Snapdragon Scene Detect and advanced malware detection software found in Snapdragon Smart Protect.

Facebook's annual F8 conference is an opportunity for the social media giant to showcase its latest technologies and developments to attendees from the developer community. One of the key announcements made at this year's conference was that Facebook will be developing its Facebook Messenger platform in order to cater to its growing business audience. Facebook Messenger will now allow third parties to interact with Facebook's one billion active users, and vice versa, via'chatbots'. A chatbot is a piece of software that is designed to simulate a conversation with a human user, in the interest of providing information or helping to complete a transaction. Chatbots use natural language processing, a type of artificial intelligence, to respond to commands or requests for information, which is a step-up from previous bots that simply scanned for keywords and sent users the most relevant reply from a database.

In this paper, we present a strategic bidding framework for repeated auctions with monitoring and entry fees. We motivate and formally define the desired properties of our framework and present a recursive bidding algorithm, according to which buyers learn to avoid submitting bids in stages where they have a relatively low chance of winning the auctioned item. The proposed bidding strategies are computationally simple as players do not need to recompute the sequential strategies from the data collected to date. Pursuing the proposed efficient bidding (EB) algorithm, players monitor their relative performance in the course of the game and submit their bids based on their current estimate of the market condition. We prove the stability and robustness of the proposed strategies and show that they dominate myopic and random bidding strategies using an experiment in search engine marketing.

In the next 30 years, tech company Humai hopes to find a way to allow artificial intelligence and nanotechnology to resurrect the dead. And they are working to achieve just that. According to their website, "We're using artificial intelligence and nanotechnology to store data of conversational styles, behavioral patterns, thought processes and information about how your body functions from the inside-out. This data will be coded into multiple sensor technologies, which will be built into an artificial body with the brain of a deceased human." Their goal is to fuse cryonic technology with nanotechnology to create an artificial body controlled by a brain, and they hope that they will be able to use their system in order to replicate a person's personality.

Following on the heels of their announcement a few weeks ago about their FLIR partnership, Movidius is making another pretty significant announcement regarding their Myriad 2 processor. They've incorporated it into a new USB device called the Fathom Neural Compute Stick. You can plug the Fathom into any USB-capable device (computer, camera, GoPro, Raspberry Pi, Arduino, etc) and that device can become "smarter" in the sense that it can utilize the Myriad 2 processor inside of it to become an input for a neural network (I'll come back to all this). Essentially, it means a device with the Fathom plugged into it can react cognitively or intelligently, based on the things it sees with its camera (via computer vision) or data it processes from another source. A device using it can make its own decisions depending on its programming.

This is the leading international symposium where the Ibero-American AI community comes together to share research results and experiences with researchers in Artificial Intelligence from all over the world. The conference will feature a pre-conference program of workshops. The main technical program will consist of invited talks by leading scientists working in the area, presentations of technical papers, as well as system demonstrations. The Proceedings of IBERAMIA 2016 will be published, as in past editions, by Springer in its Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence LNCS/LNAI series. IBERAMIA 2016, the XV edition of IBERAMIA, welcomes submissions on mainstream AI topics, as well as novel cross cutting work in related areas.

Eyefluence is one of many eye-tracking tech startups that is working on a way for a user of VR or AR headsets to navigate through a series of options using just your eyes. SAN FRANCISCO – The next big leap for virtual and augmented reality headsets is likely to be eye-tracking, where headset-mounted laser beams aimed at eyeballs turn your peepers into a mouse. A number of startups are working on this tech, with an aim to convince VR gear manufacturers such as Oculus Rift and HTC Vive to incorporate the feature in a next generation device. They include SMI, Percept, Eyematic, Fove and Eyefluence, which recently allowed USA TODAY to demo its eye-tracking tech. "Eye-tracking is almost guaranteed to be in second-generation VR headsets," says Will Mason, cofounder of virtual reality media company UploadVR.

Qualcomm has talked about putting "silicon brains" in mobile devices and is now providing tools to train smartphones to recognize people, objects, gestures, and even emotions. Phones like Samsung's Galaxy S7 and LG's G5 that use Qualcomm's Snapdragon 820 chips will get deep-learning capabilities with the Snapdragon Neural Processing Engine software development kit, announced on Monday. The SDK will include a run-time that will exploit chip features so smartphones can accomplish deep-learning tasks like tracking objects and recognizing sounds. The kit could also be used in self-driving cars and autonomous drones and robots. Computers can already recognize people in images, as seen on Facebook.