Abstract: Let the battle begin! Play, learn and have fun with us!
You are invited to take part in a fun and interactive workshop where you can program battle robots to compete against each other in the programming game Robocode.
Come and find out how simple machine learning concepts give you an advantage in such a contest.
Prerequisites: Java 8 or higher compiler, preferably with an Eclipse like IDE.
Abstract: We live in a world surrounded by data. However, we still fall short of its potential, especially when it comes to transforming it into information(, or, in different words, “talk about data”). “Talk Data to Me” is an interactive workshop designed for providing some light into this process and it will help you switch from providing just numbers to creating a story around them in a way that will help consumers understand and engage with your insights.
Abstract: Anca Lazar and Sorin Circo, Betfair Romania Development Data Engineers, will discuss the Machine Learning pipelines and technologies being leveraged for our PPB European business. Beyond discussing our modern, cloud based architecture, Anca and Sorin will also discuss 2 productionized ML implementations that are driving real business value.
Abstract: A case study of the use of blockchain technology in a large-scale
privacy-sensitive application, exploring the lessons learned and an
introduction to a possible alternative solution direction.
Abstract: A hands-on tutorial about Tensorflow 2.0 where we learn how to build and train models using Colab as a free and powerful computation platform.
Abstract: We all can agree that spending time in a surgery can be stressful for patients, family and medical personnel. From our research we noticed that doctors are actively trying to shorten the time the patient spends in the OR, yet precious time is lost due to inefficient interactions.
By leveraging advanced technologies we can shorten the time of these stressful procedures. Doctors and nurses can now use voice assistants to speed up some of the routine steps associated with various medical procedures and focus entirely on the task at hand.
In this workshop we’ll demonstrate how we at Macadamian are researching and developing solutions which are adding deeptech into a legacy and highly regulated space such as the OR.
Abstract: Companies starting their AI Adoption journey needs to map out where they’re headed when looking at artificial intelligence. AI can present some enormous challenges, but it can also bring massive value to your business if it is aligned with an efficient plan. If you are in the early stages of the AI Adoption, in this presentation, we will find out some helpful steps to your strategy.
Abstract: Grab being the leading ride-hailing platform in South-east Asia, Grab’s fleet of over 2.3 million drivers are criss-crossing roads, big and small, across 168 cities covering 8 countries in South-East Asia everyday, producing massive amount of GPS trails. The data is so rich that when the GPS points are put together, they almost resemble the map of the city. Now imagine this massive amount data is used to power our data science models, we will then be able to better understand our locations to enrich our services, predict our passengers (demand), drivers (supply) and our city infrastructure (maps).
Abstract: Digital technology has provided enormous benefits to humanity, but has also been used to destabilise and corrupt important institutions to global security. As a result, there is no question that an era of AI regulation is coming, driven by the EU. Fortunately, this does not need to be heavy handed, we just need to demystify AI and software itself such that ordinary corporate and individual accountabilities apply. In this talk I will give a preview of good practice as well as wider motivations.
Abstract: Linked data technologies have been introduced to meet the information management needs of 21st. They are based on standards for
data modeling and representation allowing for an unprecedented ease of integration of heterogeneous data sources, structuring of unstructured information at Web scale and enabling semantic interoperability, machine readable semantic data automatic reasoning and generation of new knowledge. Linked data technologies are at the core of the semantic information infrastructures. To explain their viability and value examples of applications based on semantic information infrastructures in different subject domains will be given. The talk will introduce linked data technologies as explainable AI, and will tackle the knowledge engineering challenges that are to be faced when approaching different applications – from business information delivery to water management.
Abstract: Data Science is not a one man show. It is a team effort that requires every team member to master the tools of the trade. This is extremely important for effectively putting data science to work in a global organization. We will share with you the best practices to start, develop and ship data science products developed inside PMI – the best practices and tools, currently in use by 40+ data scientists across four different locations. We will talk about how the technologies (Kubernetes, Docker, Artifactory, Jenkins) and methods (templates in Cookiecutter, CI/CD with GitFlow) are helping us creating data science workflow that adapts to specific needs. If you’re interested in how Python, Jupyter notebooks, Kubernetes, Docker, AWS, Hadoop ecosystem, Spark, Artifactory, Jenkins, Atlassian suite, etc. are setup to support our collaborative work, devoted to building predictive models, this talk is for you.
Abstract: Can we reach general purpose AI, how different would it be from specialized AIs available today, and how would it impact humanity? In her talk, Olga will give an overview of the R&D Roadmap GoodAI is taking towards general AI, and contrast the milestones necessary for general AI development with state-of-the-art technology avalialbe today. She will also talk about beneficial AI applications, such as AI in healthcare, that are achievable with present-day AI.
Abstract: Heasy is a robust and autonomous mobile robot, equipped with attractive means of interacting with humans, and rid of the complexity of advanced humanoids. It’s a social robot intended to share our personal space, interact with us and provide emotional engagement and entertainment.
With our customers, we created fun and socially engaging new experiences!
Learn how we built Heasy purposely for customer interaction with various use cases – from prototype to manufacturing.
Abstract: During this session we will explore the following topics: How IoT solutions can transform municipal and private service in the city/ Technologies for the district/city level (Weightless, LoRaWAN)/ Type of IoT sensors and devices/ How developers can design and develop an application using IoT technologies/ LoRa Gateways (manufacturers, types and deployment process)/ Network Servers (Open source solution and paid variants, how it works)/ Particular qualities of creation IoT application.
Abstract: Proving theorems is hard, and very little mathematics has been produced by computers alone. Why is this, and what might we do about it? In this talk I will propose theorem-proving as a major ongoing challenge for AI, and describe some of the work in my group devoted to introducing machine learning techniques to theorem-provers.
Abstract: Face recognition is booming and new technologies barriers are beaten every day, which makes the progress in this field extremely fast as algorithms become smarter every day. In this talk I will focus on how to build strong algorithms by solving today’s AI challenges, build solutions for the market that can adapt quickly to its needs and what should be done to protect people’s identities.
Abstract: Since the very beginning of our existence we learn how to change our environment, how to adjust it to our needs. No one has doubts, that now, we are witnessing another breakthrough in technology and the big challenge of The Connected World. Imagine most of things or objects connected to each other through the Internet making at the same time our environment adjusting itself to us without any interaction.
The question we have to ask ourselves is – how we are going to live in that world and manage it? How consciously can we contribute to the reality, algorithms are preparing for us. Answering on that, we often forget about securing ourselves – safety is the second most important need according to Maslov, just after food and water. In the Connected World that need is gaining another level of importance and complexity. How much influence we have on algorithm patterns and to what extent have we control over it? And most importantly – how we secure our privacy and our data?
Connected World is tempting, because it simply makes our life easier but we should keep in mind that there are few more important things to consider. We, as technology pioneers from around the world, are responsible for shaping this future based on responsibility. Securing the world we all live in is our duty and principle that should always guide us.
Abstract: Until recently, generative modeling of any kind has had limited success. But now that Generative Adversarial Networks (GANs) have recently reached few tremendous milestones (and truly exponential growth in the interest in this technology), we are now closer to a general purpose framework for generating new data.
Now GANs can achieve a variety of applications such as synthesizing full-HD synthetic faces, to semi-supervised learning as well as defending and mastering adversarial examples, we can discuss them in this talk. In this talk, we will start with the basics of generative models, but eventually, explore the state of the art in generating full HD images as presented in https://arxiv.org/abs/1710.10196 and dive into adversarial attacks and why this matters to all computer vision algorithms.
GANs are a novel approach to generating new data or on a variety of adjacent problems that leverages the power of deep learning and two competing agents to achieve breath-taking results.
Barebones basics of deep learning (at least conceptually)
Abstract: The talk will start of with an introduction to Anisha and how she started her career in Technology. It will then move into a simple explanation of what Blockchains are and the differences between Public and Private Blockchains. It will cover the technology used to build Private Blockchains, Hyperledger, and explain why Private Blockchains are useful for enterprise applications. Further to this, it will delve into why Blockchains should be on your radar, with a real time demo of a use case. Finishing off, it will outline why it is important for companies and individuals to be aware of Blockchains and what is in the near future.
Abstract: Computational photography is the latest trend when we talk about smartphone cameras, and machine learning is the go-to technology to combine it with in order to enhance the capabilities of your mobile device. Low-light photography is a challenge even for the big players and it’s shaping up to become an essential feature for all smartphone cameras.
During this talk, we will go through the challenges and decisions that brought us to the point where we enabled night mode photography for the iPhone before Apple did. For all iPhones, all cameras.
Abstract: Artificial intelligence is powering a new wave of innovation and productivity at the world’s most advanced aircraft manufacturer. Learn how Airbus is applying AI to radically improve their operations, utilising their incredible depth of data to deliver better aircraft, faster.
In addition, Cameron will describe in detail Airbus’s strategy for computer vision. This strategy enables Airbus to digitize it’s production lines, improving both productivity and quality.