Artificial intelligence (AI) systems today are already transforming industries and becoming an indispensable part of our daily lives. Such systems, which leverage machines to process and analyse large amounts of data, have vastly changed how humans work and play, and are being used today in many sectors, from banking to energy to agriculture. But AI systems can be energy-intensive, and there is a pressing need for those working in the field of AI to address the potentially large environmental impacts. This is especially as demand for data and intelligent devices continues to proliferate. Singapore has committed itself to environmental sustainability, underlined by its ratification of the Paris Agreement and recent plans to reach net-zero by or around mid-century.

Unprecedented access to thousands of artefacts gathered by the 18th century physician, naturalist and prolific collector Sir Hans Sloane, will be available online to everyone for free, thanks to a multi-million pound digital project led by UCL. Following his death, Sir Hans Sloane's collections formed the basis of the British Museum, Natural History Museum and British Library. The Sloan Lab: Looking back to build future shared collections will bring Sloane's immense collections, ranging from coins to manuscripts and stuffed animals, which are currently held in a variety of locations, together online for the first time. Researchers will work with experts and communities to link up Sloane's collections, put them in context for the 21st century, and give new opportunities to search, explore and engage critically with the UK's cultural heritage online. The Sloane Lab is one of five'Discovery Projects' sharing £14.5m of Arts and Humanities Research Council (AHRC) funding to democratise and decolonise the UK's culture and heritage collections.

As machine learning models are increasingly used for high-stakes decision making, scholars have sought to intervene to ensure that such models do not encode undesirable social and political values. However, little attention thus far has been given to how values influence the machine learning discipline as a whole. How do values influence what the discipline focuses on and the way it develops? If undesirable values are at play at the level of the discipline, then intervening on particular models will not suffice to address the problem. Instead, interventions at the disciplinary-level are required. This paper analyzes the discipline of machine learning through the lens of philosophy of science. We develop a conceptual framework to evaluate the process through which types of machine learning models (e.g. neural networks, support vector machines, graphical models) become predominant. The rise and fall of model-types is often framed as objective progress. However, such disciplinary shifts are more nuanced. First, we argue that the rise of a model-type is self-reinforcing--it influences the way model-types are evaluated. For example, the rise of deep learning was entangled with a greater focus on evaluations in compute-rich and data-rich environments. Second, the way model-types are evaluated encodes loaded social and political values. For example, a greater focus on evaluations in compute-rich and data-rich environments encodes values about centralization of power, privacy, and environmental concerns.

The AI Forum continues to publish the outputs of our research programme. Two new reports AI for Health in New Zealand / Haoura i te Atamai Iahiko and AI for Agriculture in New Zealand / Ahuwhenua i te Atamai Iahiko explore in depth the AI opportunities for New Zealand's crucial health and agriculture sectors. Continued thanks to the AI Forum's research programme partners for their foundational support to enable this work. AI Forum Executive Council members Christopher Laing (Xero) and Michael Witbrock (University of Auckland) were recently interviewed by Kathryn Ryan on RNZ's Nine To Noon show, listen to AI: two years for NZ to get it right. Meanwhile, I was interviewed at length by the Spinoff's Russell Brown in the latest episode of the Microsoft'Artificial Intelligence – Actually Interesting' podcast series: The cancer-fighting, wildlife-protecting, life-saving power of artificial intelligence.

An artificial intelligence (AI) research programme has been launched in London which aims to develop the use of the technology in healthcare. Composed of five projects, the CAP-AI programme is focused on developing the use of AI in healthcare in London with the aim of improving patient care. This involves project teams from Barts Health NHS Trust and Queen Mary University of London supporting a London-based Small/Medium Enterprise (SME) to deliver their project, with the aim of creating a new product that can be commercialised. Two projects are already underway – the first led by Vascular Consultant, Sandip Sarkar from Barts and in partnership with AI-start-up Motilent. This particular project aims to use AI to predict how congenital ascending aortic aneurysm, an unpredictable and potentially deadly condition, is likely to develop in patients.

In order to drive awareness of the benefits and understand the challenges of AI (such as on ethics[1] and legal issues), IMDA is engaging key stakeholders including government, industry, consumers and academia to collaboratively shape the Government's plans for the AI ecosystem. Such discourse will inform the Government's ongoing plans to support Singapore as a hub for AI development and innovation, and help Singapore to effectively respond to global developments. These initiatives complement IMDA's current suite of business and talent programmes to develop a vibrant AI ecosystem and position Singapore as a leading hub for AI. An Advisory Council on the Ethical Use of AI and Data will be appointed by the Minister for Communications and Information to advise and work with IMDA in the areas of responsible development and deployment of AI. The Advisory Council will assist the Government to develop ethics standards and reference governance frameworks and publish advisory guidelines, practical guidance, and/or codes of practice for the voluntary adoption by the industry.

Wärtsilä's strong commitment to developing the technologies, the system reliability, and the essential designs to enable the viability of autonomous shipping is again emphasised through its participation in an important research programme. Together with other leading marine sector and information & communication technology (ICT) companies, Wärtsilä is supporting a project aimed at creating the world's first autonomous marine transport system. The initial focus will be on developing a fully autonomous system for the Baltic Sea by the year 2025, with cargo ships and freight transportation being the first pilot applications. The programme is being largely financed by Tekes, the Finnish Funding Agency for innovation and the ecosystem platform is being handled by DIMECC, a leading breakthrough oriented co-creation ecosystem provider. The main corporate investors in the programme, apart from Wärtsilä, are Rolls-Royce, Cargotec, Ericsson, Meyer Turku, and Tieto.

PODTGolog [Rens, 2010] is a Golog dialect attempting Broadly speaking, my research concerns combining to deal with partially observable MDP (POMDP) logic of action and POMDP theory in a coherent, environments. PODTGolog has not been given a mathematical theoretically sound language for agent programming.