EasyAgents: Reinforcement Learning for people who want to solve real-world problems
February 24, 2020
Reinforce Learning can be a game changer when you do not have training data, but are instead able to simulate an environment. Unfortunately, the theory of Reinforcement Learning is complex and the vast number of algorithms in that area adds to the burden for getting started. Easyagents takes some of the burden by making it a one-liner to run a Reinforcement Learning algorithm on your problem.
Introduction to Hilbert AutoML with TensorFlow Extended (TFX) at Yahoo! JAPAN
February 23, 2020
Hilbert is an AI framework that works with TensorFlow Extended (TFX) at Yahoo! JAPAN, which provides AutoML to create production-level deep learning models automatically. Hilbert is currently used by over 20 services of Yahoo! JAPAN. Shin-Ichiro Okamoto details how to achieve production-level AutoML and explores service use cases at Yahoo! JAPAN.
Using Open Source to Build One of the Worlds Largest Interactive Data Visualization Experiences
February 20, 2020
Have you wondered what would it take to build an Android-based 80-inch touch surface? In the process of making my data viz tool VizInteract to work with large displays, I managed to find great answers …
Interactive sports analytics
February 12, 2020
Imagine watching sports and being able to immediately find all plays that are similar to what just happened. Better still, imagine being able to draw a play with the Xs and Os on an interface like a coach draws on a chalkboard and instantaneously finding all the similar plays and conduct analytics on those plays. Join Patrick Lucey to see how this is possible.
Using Spark for crunching astronomical data on the LSST scale
February 8, 2020
The Large Scale Survey Telescope (LSST) is one of the most important future surveys. Its unique design allows it to cover large regions of the sky and obtain images of the faintest objects. After 10 years of operation, it will produce about 80 PB of data in images and catalog data. Petar Zecevic explains AXS, a system built for fast processing and cross-matching of survey catalog data.
Recommendation system using deep learning
February 3, 2020
Recommendation systems play a significant rolefor users, a new world of options; for companies, it drives engagement and satisfaction. Amit Kapoor and Bargava Subramanian walk you through the different paradigms of recommendation systems and introduce you to deep learning-based approaches. You'll gain the practical hands-on knowledge to build, select, deploy, and maintain a recommendation system.
Lightning Talk: Risk Associated with Corporate Presence and Employee Personal use of Social Media
January 31, 2020
Social media technology involves the creation and dissemination of content through social networks using the Internet. The difference between traditional and social media are defined by the level of i …
Spark understanding: Explain with story and visuals
January 24, 2020
Verbal interactions, chats, email, and social mediamost of us work to communicate thoughts and ideas constantly. Cyrene Domogalla explains how to be a more effective visual storyteller. Getting people to listenand being heardare critical factors in effective communication. Join in to learn how to explain better to achieve your goal and maximize impact with engaging visuals.
GNES: An Opensource Generic Neural Elastic Search Framework for Searching Everything
January 16, 2020
Tencent receives tons of text, images and videos everyday. Searching efficiently and effectively means everything to us, and understanding the content is the key to improve the search accuracy. Recent …
AI for social good: Saving the planet through data science
January 14, 2020
Global environmental challenges have pushed our planet to the brink of disaster. Rapid advances in deep learning are placing immense power in the hands of consumers and enterprises. Ganes Kesari explains how this power can be marshaled to support environmental groups and researchers who need immediate assistance to address the rapid depletion of our rich biodiversity.
Synthetic video generation: Why seeing should not always be believing
January 6, 2020
The advent of "fake news" has led us to doubt the truth of online media, and advances in machine learning give us an even greater reason to question what we are seeing. Despite the many beneficial applications of this technology, it's also potentially very dangerous. Alex Adam explains how synthetic videos are created and how they can be detected.
Aggregating Mobile Operator Edge Compute Infrastructure with End to End Network Slicing
January 3, 2020
We believe that edge is the missing piece in a new value chain that expands the types of devices on mobile networks, secures IOT, enables next generation content (AR/MR), readies mobile infrastructure …
Panel Discussion: Edge Open Source Synergy to Deliver Value-added End-to-end Services
December 29, 2019
With the advent of Edge Computing and 5G, networks and applications can be no more be treated in isolation. This panel is focused on collaboration of several key open source efforts such as ONAP, Clou …