How does ML / AI technology change your lifestyle?

Description:
...why should I get surgery? Black-box AI is particularly problematic in healthcare, where software could make suggestions that impact the well-being of patients. Starting from user experience on real-life examples, we single out the most asked questions and discuss desirable types of explanations for users without deep knowledge of machine learning. We showcase how different methods and packages can come together in a Python interpretability toolbox and describe at which stages of development they should be used. These considerations generalize to the development of any AI-powered product.

Description:
When was the last time you wrote an algorithm to plan your diet? As programmers we do amazing things in our everyday job, but rarely do we use our knowledge at home. In this talk I will introduce genetic algorithms and share how I coded a genetic algorithm from scratch and used it to generate my weekly schedule and to create a smart diet planer. We will go through the different stages of the algorithm and understand how they affect the algorithm’s solutions. Let me show you a different side of genetic algorithms and you will discover a new way to solve your everyday problems.

Description:
Imagine looking into a mirror, but not to see your own face. Instead, you are looking in the eyes of Barack Obama or Angela Merkel. Your facial expressions are seamlessly transferred to that other person's face in real time. The TNG Hardware Hacking Team has managed to create a prototype that transfers faces from one person to another in real time based on Deepfakes. Neural networks detect faces within a video input, then translate them and integrate them back to the video output. Through this technique it is possible to project deceptively real imitations onto other people.

Description:
In this talk we will look at a simple 2D racing game. We will see how such a game is developed (in python!) and how we can spawn virtual babies into the game. Much like real babies, these virtual babies do not know how to drive a car. Extending the parallel with real babies, our virtual spawn does not know what the ultimate goal of their existence is. We will help them with the latter, and have them solve the driving issue themselves. This will also give us insight in the tough life of an all-powerful puppetmaster, really pushing the life lessons we can learn from this.

Description:
Why are Chatbots becoming an increasingly powerful AI application? How are they positively impacting every aspect of businesses while making the users happy? In this talk, we will answer these questions by understanding chatbots, the technology that makes them powerful (Natural language processing and Machine Learning) and how they are becoming the new User Interface. The talk will be cover the following: Define Conversational AI with brief history and changing trends Overview of Googles NLP and ML to facilitate conversation AI Build a bot on stage with Google Dialogflow in 5 mins

Description:
Sentiment analysis is one of the most known sub-domains of Natural Language Processing (NLP), especially used in the classification of feedback messages. This talk will condense over 15 years of research on different approaches in sentiment analysis, as they evolved during time. The audience will be guided through the advantages and disadvantages of each method, in order to understand how to approach the topic given their needs.