Wollowski, Michael


The Web of Smart Entities — Towards a Theory of the Next Generation of the Internet of Things

AAAI Conferences

We argue that the next generation of the IoT is about a web of smart entities. It is about real-time data. It is about data from various sources, from sensor data to data from smart entities. A key feature of the web of smart entities is accurate models which are continuously updated with live data. The models will be given authority to act and as such lead to yet unforeseen levels of automation. Models will be interacting with each other in more or less tightly coupled feedback loops, again, raising the level of automation. We see the smart entities as polite assistants, designed to make our lives more convenient. Something that will gracefully bow out, when asked to do so. In this context, we will address several modes in which to interact with and control the resulting automation.



Studying Watson Inside Out — A Cognitive Systems Course

AAAI Conferences

We describe a course in which students train an instance of Watson and develop an application that interacts with the trained instance. Additionally, students learn technical information about the Jeopardy! version of Watson and they discuss a future infused with cognitive assistants. In this paper, we provide learning outcomes and course assessment items. We provide detailed course materials and advice for instructors interested in teaching such a course. The advice is in the form of best practices, a description of a successful use case and an evaluation of our experience teaching this course.


Training Watson — A Cognitive Systems Course

AAAI Conferences

We developed a course in which students train an instance of Watson and develop an application that interacts with the trained instance. Additionally, students learn technical in-formation about the Jeopardy! version of Watson and they discuss a future infused with cognitive assistants. In this poster, we justify this course, characterize major assessment items and provide advice on choosing a domain.


A Survey of Current Practice and Teaching of AI

AAAI Conferences

The field of AI has changed significantly in the past couple of years and will likely continue to do so. Driven by a desire to expose our students to relevant and modern materials, we conducted two surveys, one of AI instructors and one of AI practitioners. The surveys were aimed at gathering infor-mation about the current state of the art of introducing AI as well as gathering input from practitioners in the field on techniques used in practice. In this paper, we present and briefly discuss the responses to those two surveys.


Teaching With Watson

AAAI Conferences

In this paper, we describe how we integrated the materials from the 2013 IBM The Great Minds Challenge (TGMC) - Watson Technical Edition into our Introductory Artificial Intelligence course. We describe the variety of materials made available by IBM, as well as the nature of the competition and the datasets that are at the heart of it. We detail how, where and in what form we integrated the materials into our course. We describe assignments that are based on the materials from the competition as well as additional materials we incorporated into our course. We finish by evaluating our experience in teaching with the materials as well as summarize relevant student feedback. We make recommendations for those who wish to adopt the materials.