Tim Ken Mackey is a Professor of Global Health in the Global Health Program at UC San Diego, the Director of the Global Health Policy and Data Institute, and the Editor-in-Chief of JMIR Infodemiology. He is also the CEO and co-founder of the data science and research services company S-3 Research. He holds a BA in Political Science-International Relations, a Masters Degree in Health Policy & Law and also earned his PhD in Global Public Health from the joint doctoral program at UC San Diego - San Diego State University.  Prof. Mackey’s work has been featured in high-impact journals such as Science, Cell, JAMA, Nature Biotechnology, the Lancet, Nature Reviews Clinical Oncology, Clinical Microbiology Reviews, and BMC Medicine. His research and expertise has also been featured in major news outlets such as CNN, NPR, and the Wall Street Journal.  His work focuses on an array of multidisciplinary topics, including the assessment of different types of technology, such as big data, machine learning, and blockchain, to address critical public health challenges. He also has extensive professional experience including over 10 years experience in the private sector and acting as a consultant for the World Health Organization, the US Department of State and others.

At last, 5G commercial services have been launched since year 2020 in Japan. 5G introduced new technologies such as 1) Millimeter-wave, 2) Massive MIMO, 3) Edge computing, and 4) RAN virtualization, however, the performance of these new technologies has not been fully utilized since the commercial 5G still depends on smartphones. If we look back the history of mobile generations, 3G and 4G can be considered as a set, and the set has created the smartphone as a new service platform. Then, what will be created by the set of 5G and 6G? That might be Super Smart Society (SSS). In this lecture, several examples of super smart society and their requirements on Beyond 5G are introduced by referring to the activities of the SSS Promotion Consortium. By the way, commercial service of 6G is expected to start around 2030, however, the 5G technologies will be continuously improved and a new service platform for super smart society will emerge. Such a kind of activities is called Beyond 5G in this lecture.

Machine learning is used in various of real-world products from domains search and recommendation engines, chatbots, e-commerce platforms, health care etc. There are many advancements in the field of information retrieval with the use of sophisticated ML techniques. I will be sharing recent advancements in this area and some practical examples like machine learning based ranking etc. Best practices and challenges while building software products/ services will also be discussed. Outline:
1. An overview of machine learning and its potential applications in information retrieval (IR) systems
2. Use of machine learning for the IR tasks like document ranking, query classification, query expansion, nearest neighbor search and recent advancements in this area
3. Neural information retrieval – Recent advancements in using different types of neural network architectures for IR tasks.
4. Strategies for evaluating the performance of a machine learning model in an information retrieval context
5. Best practices for deploying a machine learning-powered information retrieval system
6. The challenges and limitations of using machine learning for information retrieval