„Machine Learning, Society & Autonomy“
A.I. technologies are improving rapidly, resulting in significant opportunities in machine perception and decision-making capabilities. This raises questions about how these capabilities impact the products we build, our society, and eventually our own autonomy. This talk explores relevant developments in machine learning and what it is capable of now; what the “right level” of automation vs. control is; how to design the human interface to machine learning; what jobs might get automated and why there are still so many jobs; and what aspects of A.I. the author is actually worried about.
Details
Agenda:
6:00 pm: Check-in & Networking
6:30 pm: Merging the Real and Virtual with AI by Robert Adelmann
7:00 pm: ML shapes the product of tomorrow by Daniel Yu
7:30 pm: Fishbowl Discussion
7:30 pm: Apero @ Ginetta Bar
1. „Merging the Real and Virtual with Artificial Intelligence“
Driven by technologies such as Augmented Reality (AR), Internet of Things (IoT) and in particular Artificial Intelligence (AI), specifically deep learning advancements, the physical and virtual world are increasingly merging; creating awesome opportunities for entrepreneurial spirits. This talk presents concrete examples where applied machine learning enables new products and services: From the start-ups Scandit AG and EyefitU AG, to the possibilities in the context of Human Computer Interaction (HCI).
Robert is passionate about HCI, specifically AR and the potential of AI with 12+ years of experience: From research at ETH and MIT, to being a co-founder and the developer of the core computer vision technology behind Scandit AG. He was also responsible for the mandated development of the start-up EyeFitU AG, is a lecturer at HSR and HSLU, as well as head of User Experience and Augmented/Mixed Reality at Ergon Informatik AG. Interdisciplinary at heart, Robert combines a strong background in IT and applied research, UX and business experience with a love for innovation.
2. „Machine Learning shapes the product of tomorrow“
The current advancements of Machine Learning, combined with Big Data and Cloud technologies open doors for new products in every industry verticals. Nevertheless, delivering real world-changing values to the customer with such a product and technology is quite a challenge. In this talk, we discuss how ML is fundamentally changing the product landscape and cover how we can build such systems to deliver the business value of ML to your customer.
Daniel Yu is an ETH Alumnus and Consultant of ipt AG. He holds a master degree in Computer Science from the ETH Zurich and specialized in his studies on Machine Learning. He now helps companies taking the next step towards self-learning systems and data-driven applications.