Dr. Alex Antic is a trusted and experienced Data Science leader, with a proven record of delivering innovative, successful and sustainable projects in government, industry and startups (including Sports Analytics), that leverage data and Machine Learning/Deep Learning capabilities to deliver actionable insights. Dr. Antic is currently serving as an Academic at ANU, whilst also being a Principal Data Scientist for Federal Agency. Before his current role at ANU, Alex was a quantitative analyst at hedge fund and investment bank. He has also worked with the actuarial teams in the marketing analytics. Because of this unique career path with the commercial experience, he understands the business needs well as well as able to be pragmatics with the commercial perspective whilst working at different environment.

Gernot Heiser is chief research scientist at CSIRO Data61 and Scientia Professor and John Lions Chair at UNSW Sydney, Australia. Gerwin Klein is chief research scientist at CSIRO Data61 and a conjoint professor at UNSW Sydney, Australia. June Andronick is chief research scientist at CSIRO Data61 and a conjoint associate professor at UNSW Sydney, Australia.

In March 2011, the catastrophic accident known as "The Fukushima Daiichi nuclear disaster" took place, initiated by the Tohoku earthquake and tsunami in Japan. The only nuclear accident to receive a Level-7 classification on the International Nuclear Event Scale since the Chernobyl nuclear power plant disaster in 1986, the Fukushima event triggered global concerns and rumors regarding radiation leaks. Among the false rumors was an image, which had been described as a map of radioactive discharge emanating into the Pacific Ocean, as illustrated in the accompanying figure. In fact, this figure, depicting the wave height of the tsunami that followed, still to this date circulates on social media with the inaccurate description. Social media is ideal for spreading rumors, because it lacks censorship.

Chris Bain is a professor of Digital Health in the Faculty of IT at Monash University, Melbourne, Australia. Abraham Oshni Alvandi is a research assistant in Digital Health in the Faculty of IT at Monash University, Melbourne, Australia.

NTU SPIRIT Smart Nation Research Centre, together with the Singapore Judiciary, has successfully developed an Intelligent Case Retrieval System (ICRS) using AI capabilities. ICRS enables efficient retrieval of relevant precedent cases through the use of continuously adaptive AI/data analytics approaches. The use of such tools can help the legal profession to understand case details and perform legal research by trawling through the case repositories at a faster and more accurate rate to obtain the most relevant case precedents and identify possible outcomes in different areas of law. The value of ICRS is to better enable all parties to evaluate the strengths or weaknesses of their cases. With better quality legal submissions, judges too are assisted in their decision-making processes, thus elevating the quality of judgments delivered.

A successful digital economy requires cybersecurity to be a vital enabler, protecting the interests of individuals and businesses and enabling the resilience of businesses and services. Since 2013, Singapore's medium- to long-term directions for cybersecurity is to develop R&D expertise and capabilities to improve the trustworthiness of cyber infrastructures and systems with an emphasis on security, reliability, resilience, and usability among government agencies, academia, and industry. Various initiatives to support research, innovation, and enterprise have been implemented under the Whole-of-Government National Cybersecurity R&D (NCR) Programme.8 The program supports a synergistic range of initiatives to advance technological state-of-the-art in thematic National Satellites of Excellence in universities, grants for local research projects, international research collaborations, and joint technology developments with industry. Innovation is fostered through cross-sector R&D discussions and partnerships and fast-tracked by national testbeds for safe and repeatable cybersecurity experiments.

To capture cultural heritage is to capture the experience of people who are directly involved in creating, witnessing, and maintaining cultural heritage objects. Ideally, the people accessing digital representations of cultural heritage objects are able to understand the significance underlying the objects. The question is how to capture (the experience of) cultural objects in digital form. Various modalities exist for representing cultural heritage: unstructured textual data, possibly including images or videos, as well as structured data. Capisco has been shown to provide quality semantic search results for English-language texts, with promising early results for other languages.

Japan's National Institute of Informatics (NII) launched its inaugural NII Shonan Meeting in February 2011. It was the first international conference of informatics in Asia, following in the style of the Dagstuhl seminars in Germany, designed to bring together the world's leading researchers and engineers to discuss open problems and challenges. More than 140 meetings have been held since then, and the number of participants totaled approximately 3,500 by November 2019. NII supports all the administrative arrangements for organizers and covers approximately half the fee for every academic participant (including room, board, and meeting fees). Sometimes, we also have summer/winter schools.

The high technological and strategic stakes mean major technology companies as well as ambitious start-ups and government-funded research centers are all in the race to build the world's first universal quantum computer. In contrast to today's classical computers, where information is encoded in bits (0 or 1), quantum computers process information stored in quantum bits (qubits). These are hosted by quantum mechanical objects like electrons, the negatively charged particles of an atom. Quantum states can also be binary and can be put in one of two possibilities, or effectively both at the same time--known as quantum superposition--offering an exponentially larger computational space with an increasing number of qubits. This unique data crunching power is further boosted by entanglement, another magical property of quantum mechanics where the state of one qubit is able to dictate the state of another qubit without any physical connection, making them all 1's for example.

"High demand and tight labor markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up," said Peter Krensky, research director at Gartner. "In the recent Gartner AI and Machine Learning Development Strategies Study, respondents ranked "skills of staff" as the No. 1 challenge or barrier to the adoption of AI and machine learning (ML)." Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development. These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management. A significant portion of AI use cases are reported from asset-centric industries supporting projects such as predictive maintenance, workflow and production optimization, quality control and supply chain optimization.