In this talk, we overview the trend of artificial intelligence especially on deep learning. We explain how innovative the deep learning (or representation learning) is from the viewpoint of AI history, and also how deep learning technologies would evolve over time in the near future. The possible change on society and business is also articulated in the talk.
The word "DevOps" has been getting widely known not only by engineers but also by executives or managements. They hope DevOps resolves their issues or challenges. However the definition of DevOps is quite vague and DevOps does not mean adopting new tools. This session introduces the core values or concepts of DevOps and the way how to adopt DevOps value into your organization.
Computers beat humans in many fields, starting of course by calculus many years ago but also in tasks where we did not expect them like chess game in the 90s, and more recently in recognizing complex objects and scenes in images. They are not yet able to have a real dialog in natural language, which is one way of comparing human and computer intelligence (the Turing test) but several well known scientists anticipate incredible times when Artificial Intelligence will be exponentially improved and will largely outperform human intelligence. The goal of this talk is to point out some fondamental differences between computer and human intelligence, which are usually ignored in the discussions about the future of AI.
<Augmenting Human Creativity> by Adiyan Mujibiya
This talk will be focusing on how we can engineer the vision of Artificial Intelligence, especially on how we can combine human creativity with computational intelligence to solve our daily issues. Specifically, we will discuss our most recent R&D projects in the scope of creativity support in human-computer interaction. Our explorations spans widely in supporting content creation for product visualization and objective description, computational augmentation for personal fabrication design, and also a computational framework to obtain support from others (crowdsourcing).
Yahoo is an Internet pioneer. Somewhere along the way, our size got ahead of our ability to execute to the point that we slowed to a halt. This is a story of a multi-year journey of us fighting back and regaining our groove: innovating and executing at warp drive speed.
Come hear lessons that we learned along the way, profit from our mistakes, avoid dead ends and frustration, cry and laugh with us.
In this talk, I would like to touch upon highlights of various research and development that my vision group at Carnegie Mellon has done in the area of computer vision. A few candidates for topics that I will cover include vision-based autonomous robots, Eye Vision, biological live cell tracking, face image analysis, and water drop illumination. While presenting their technical contents, I will try to sprinkle my anecdotal experiences, strategies, and philosophy in research including my research motto, “Think like an amateur, do as an expert”, which I hope the audience finds interesting and useful in order for them to make their research and development fun and productive.
IoT Platform “SORACOM" is a programmable mobile communication platform released on September 30th 2015 in Japan, which includes the mobile network core system (3G/LTE) running on AWS cloud and connected to mobile base stations of NTT DoCoMo. SORACOM Air is a programmable mobile communication platform as a service that connects "things" directly to Cloud. SORACOM Beam is a data transporting service that "beams" data from your device to anywhere on the Internet securely.In this session, we will discuss how things can leverage SORACOM platform services; SORACOM Air and SORACOM Beam, to get more and more connected.
Often machine learning engines are designed to require little human input. However, while machines are fast, scalable, and reliable, selectively leveraging human input can be an excellent resource to provide continuous feedback and improvement. This is especially important given the inevitable changes in input data and the long tail of edge cases, which are traditionally difficult for machine learning engines.
This talk discusses how we built a product categorization engine at Slice that involves different types of human workers - engineers, analysts, outsourced and crowdsourced workers - to allow for continuous improvement with limited resources.
Unfortunately, this video has noises and intruptions.
In this session, we will be introducing 1) Musio which is an artificially intelligent robot, 2) Muse Gaze which is our core computer vision engine, and 3) Muse Logic which is our intelligent inference engine.
Muse Gaze is already successfully able to perform object detection with high precision, and now focuses on integration with NLP technology.
Specifically, we are focusing on a technique called image description which involves combining multiple neural networks to output a descriptive text given an input image.
We believe techniques such as image description will prove essential for efficient communication and establishing a bond between human beings and machine.
Muse Logic is AKA's cutting edge technology which enables a machine to logically reason and deduce new facts based on input data.
This was achieved by incorporating a memory component and inference component into our deep-learning model.
We firmly believe that Muse Logic shows promise in machines performing logical problem solving and will be applied to various fields such as finance and security in the future.
We are very exited that Muse Logic will be firstly introduced at Rokuten Technology Conference, 2015.
According to the DevOps practices, we are going to talk about the DevOps in real world case studies and technologies. Rakuten automation, Microsoft VSO team's DevOps journey and the report of DevOps Enterprise 2015. Also you may see melt-your-faces demos. Come and join us, if you want to know the real world DevOps.
Example 1: Rakuten: Automation on System Testing and what's going on
Example 2: Microsoft: DevOps at Visual Studio Online and what's going on
Discussion: Why should we think about DevOps?
DevOps Interview : Part 1. Kotaro Ogino on Continuous System Testing
DevOps interview : Part 2. Yasunobu Kawaguchi and Kotaro Ogino on Challenging for silos
DevOps interview : Part 3. Yasunobu Kawaguchi on The impact of Small Team, Microservices and DevOps
"Bringing Stories to the World"
In the most beautiful and compelling way.
Where the audience is (mobile, web)
To be communicated, shared, discussed as widely as possible.
We envision a world in which anyone, anywhere, can quickly and easily discover, find and buy clothing that’s right for them, with confidence, from any merchant.
We’ll show how we calculate shopper’s measurements from just a few data points, or how we used robotic shape-shifting mannequins to develop algorithms to help shoppers - in all kinds of shapes and sizes - to find the right sizes of garments. And we’ll talk of the future: how the adventure of fashion delivers delight and excitement to millions of shoppers, while helping merchants understand their shoppers in unprecedented ways.
HTTP2 protocol, the first revision in 16 years, is designed and expected to deliver complex Web contents much faster. However, there are a couple of things to be worked out beforehand such as TLS requirement and when to move to the new protocol. In this session, the speaker will discuss practical and cost effective way.
We introduce about DevOps of Rakuten Travel.
Former part, we introduce about the case which we talked at Agile Japan 2015 and DevOps 2015 in Taiwan.
Latter part, engineer talks about current situation of DevOps and future vision.
Building smart applications with an Algorithm Marketplace
An introduction to Algorithmia and some of the smart applications that can be built with an algorithm marketplace
DEX & DEX(TRA)
An introduction to DEX a data is everything-as-a-service and DEX(TRA) a community of developers creating value from generating new insights and services build on data and APIs. CASE STUDY: Rakuten Viki - global TV recommender challenge.
Music technologies will open the future up to new ways of enjoying music both in terms of music creation and music appreciation. In this invited talk, I will introduce the frontiers of music technologies by showing some practical examples to demonstrate how end users can benefit from singing synthesis technologies, music understanding technologies, and music interfaces.
From the viewpoint of music creation, I will demonstrate a singing synthesis system, VocaListener, and a robot singer system, VocaWatcher. I will also introduce the world's first culture in which people actively enjoy songs with synthesized singing voices as the main vocals: emerging in Japan since singing synthesis software such as Hatsune Miku based on VOCALOID has been attracting attention since 2007. Singing synthesis thus breaks down the long-cherished view that listening to a non-human singing voice is worthless. This is a feat that could not have been imagined before. In the future, other long-cherished views could also be broken down.
As for music appreciation, I will demonstrate a web service for active music listening, "Songle" (http://songle.jp), that has analyzed more than 930,000 songs on music- or video-sharing services and facilitates deeper understanding of music. Songle is used to provide a web-based multimedia development framework, "Songle Widget" (http://widget.songle.jp), that makes it easy to develop web-based applications with rigid music synchronization by leveraging music-understanding technologies. Songle Widget enables users to control computer-graphic animation and physical devices such as lighting devices and robot dancers in synchronization with music available on the web. I will then demonstrate a web service for large-scale music browsing, "Songrium" (http://songrium.jp), that allows users to explore music while seeing and utilizing various relations among more than 700,000 music video clips on video-sharing services. Songrium has a three-dimensional visualization function that shows music-synchronized animation, which has already been used as a background movie in a live concert of Hatsune Miku.
One of the great features of Apache Spark is to allow you to write code in popular languages in data processing field, Python and R. But you could face poor performance when using Spark from those language for some reason.
Since Apache Spark 1.4, using DataFrame API would give you almost same performance as when using JVM languages like Scala or Java.
In this talk, I will show the background, examples, pitfalls of DataFrame API and how to get the best performance from Apache Spark from non-JVM languages.
The subject of our presentation is the technology of time synchronization,Especially, we will focus on features of PTP.
Session Topic: The Future of Drones in Retail
The market is dominated by consumer drones for applications ranging from basic photography to infrastructure inspection to disaster relief applications and beyond. However, why are large global corporations like Amazon, Google, and others investing so heavily into the space? This session will explore some of the tactical and strategic reasons for such a vision. What are the challenges and ingredients required to become successful in the commercial market? We will also discuss how companies like Top Flight Technologies are developing innovative solutions to solve the payload and endurance problems for the drone market.
Innovation from Everywhere, Example Biggest one China and Smallest one. Singapore.
I will talking Ecosystem by makers.
Batch processing plays a key role in most organizations, mainly because it doesn’t need much human intervention. This session explores various ways in which batch processing can implemented with Java EE. It includes an analysis of batch implementation with JSR 352 and embedded EJB containers. By the end of the session, the attendees should be able to understand when to use JSR 352 and when not to, the benefits of using an embedded EJB container for batch processing, and the best practices to follow when designing batch processes.
User experience design approach and design thinking approach are very important for creating new service, product and business. During this session, I will cover to show these approach and example. And also, I will introduce new approach based on Experience Vision and social approach. Core of this approach is vision centered design approach based on Human centered design process with social perspective and business perspective.
This dynamic workshop uses “Chocolate, LEGO and Scrum” simulation game to introduce DevOps culture.
Join this session to experiment with optimizing a flow of work through the entire organization. Visualize negative effects of long sprints and deferred deployments. Amplify feedback loop, bring in security and evolve towards continuous value delivery – all using LEGO and chocolate.
Inspired by ideas from “The Phoenix Project” and “The Goal", this workshop will help you clearly see a need for taking first steps towards embracing DevOps culture.