An artifact-free computational approach to extract the phase of light from noisy intensity signals improves imaging of transparent objects, such as biological cells, under low light conditions. Deep neural networks are trained to operate on these two frequency bands, before a final algorithm recombines them into a full-band phase image. This method avoids the tendency of automatic phase extraction programs to over-represent low frequencies. The retrieval of phase of electromagnetic fields is one of the most important problems in optics as it allows the shape of transparent objects, including cells, to be quantified using visible light. Phase is a quantity that relates to the wave nature of light; it is not directly detectable by our eyes or common cameras, and yet carries important information about objects the light went through.

Today, advancements and innovation have reached the next level where everything is automated and is done automatically. This new breakthrough has driven the world to a new scenario where humans and robots can work together. For now, most autonomous systems or robots seem to work with driving vehicles, vacuuming home floors or turning lights on and off, caring elderly, gardening crops and picking fruits, and much more. These machinery systems are getting good enough as they are able to work alongside the human workforce in a shared space as teammates. Just like smartphones and social media that provide connectivity beyond our imagination, robots have started to offer physical and cognitive abilities to humans they never expected before.

Since Korea has a limited ICT R&D fund compared to other IT global countries, its strategy was essential to achieve its global competence in each generation of mobile communication. Just after the rollout of the world's first 5G service, the government took the next step by announcing the 5G strategy to promote the 5G application to a wide-ranging industry and create a sustainable 5G ecosystem leading to new growth engines. In this article, we focus on the government-industry 5G collaborations, including the R&D roadmap and promotion to the 5G commercialization, the global collaboration, the first 5G experience, and 5G vertical trials to make the 5G-enabled industrial transformation take place in Korea. The development of an electronic digital switching system called TDX in the 1980s, the world's first CDMA mobile service in the 1990s, and the nationwide wired and mobile broad Internet networks in the 2000s are the key advances that made it possible for Korean consumers to easily adopt new technologies such as LTE and 5G. In 2018, the handset penetration rate of South Korea was similar to western Europe, where LTE adaption was 84% with 99.95% coverage and 65Mbps downlink capacity.4

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.

AI Singapore (AISG) was launched in June 2017 as an integrated, impact-driven, research and innovation program in artificial intelligence (AI) for the entire country. As a national initiative, AISG brings together the strength of Singaporean research bodies in Singapore's Autonomous Universities (AUs) and research institutes, together with the vibrant ecosystem of AI start-ups and companies developing AI products, to perform use-inspired research, create innovative AI solution, and develop the talent to power Singapore's AI efforts. To achieve Singapore's national mission, AISG's activities are anchored around four key pillars: An organization can propose a problem statement where no commercial-off-the-shelf AI solution exists, but can potentially be solved through AISG's ecosystem of researchers and research IPs within nine to 18 months. AISG will assemble a team of AI researchers and engineers from Singapore's research and development ecosystem to work on an organization's problem statement. Through a collaborative process, a company's existing technical manpower will work alongside a team of AI researchers and engineering assembled by AISG to develop AI solutions while helping the company build up its internal AI capabilities.

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.