The National Artificial Intelligence Centre has been established within CSIRO's data and digital specialist arm Data61, Minister for Science and Technology Melissa Price announced on Tuesday. Bringing disruption and innovation, AI technologies are forecast to contribute more than $20 trillion to the global economy by 2030. Australian Stela Solar, former global director of AI solutions at Microsoft, is returning from the United States to lead the new centre. "Stela has the vision and industry knowledge to work with CSIRO to continue bridging the gap between industry and our world-leading AI specialists," CSIRO chief executive Larry Marshall said. The minister said the new centre would position Australia as global leader in AI technology, harnessing talent and resources to drive early adoption of AI across the economy.

Indian Institute of Management (IIM) Ahmedabad has launched the'Brij Disa Centre for Data Science and Artificial Intelligence (CDSA)', the institute said on Monday. The endowment for the centre has been contributed by Deepak Gupta, Joint Managing Director, Kotak Mahindra Group, it said. The centre will undertake research in Data Science and Artificial Intelligence to support businesses, governance, and policymaking. The centre aims for synergistic and collaborative relationships between scholars and practitioners in data-intensive organizations, besides undertaking case-based research to understand the current industry practice and develop case studies for classroom teaching, an official statement said. Besides connecting relevant stakeholders, CDSA will also be responsible for "dissemination of the knowledge to a wide audience both within and outside the realm of the Institute through seminars, workshops and conferences," it added.

Few details about the planned UK defence centre on artificial intelligence (AI) have emerged since 19 November when the prime minister announced its intended formation. Nor is it clear whether it was the Cabinet Office and Downing Street or the Ministry of Defence itself that was the driving force behind the proposal, and it is not known whether the centre will reside within the defence organisational structure or be co-located with another department. As a result, all we can do at this stage is offer some suggestions about the functions the centre could perform and raise questions about its organisation and structure. A few introductory lines about AI are needed. At its heart, it involves the use of computers for processing information to improve decision-making (namely suggesting choices that have a better chance of success and to do so more rapidly). There are four elements in AI development.

Australia's position as one of the world leaders in artificial intelligence (AI) and machine learning will be further boosted thanks to $20 million towards a new national centre, to be based at the University of Adelaide. The Centre for Augmented Reasoning is an investment by the Australian Government in people and research to make computers better at interacting with humans, so that all technology might be easier and safer to use. The new centre builds on the expertise of the internationally regarded Australian Institute for Machine Learning (AIML) at the University of Adelaide, jointly established with the South Australian Government and based in Adelaide's Lot Fourteen innovation precinct. "The $20 million announced in this week's Federal Budget is a very exciting development, representing seed investment in our new centre. This will be a solid foundation for industry and government to build on, to ensure Australia captures the full benefits from the artificial intelligence (AI) revolution. "The new centre will be a major boost to the University of Adelaide's capabilities, and will create new jobs in research, and opportunities for students.

Huawei has launched a South African-based Cloud and Artificial Intelligence (AI) Innovation Centre to drive innovation, knowledge transfer and economic growth through app development in the AI industry. The announcement was made by Ray Rui, president of Huawei Cloud Africa region, during the Huawei Cloud Summit Africa 2020, an online event to unpack the opportunities of cloud computing for African business under the theme "Building an Intelligent Africa". "AI will be critical to social evolution and industrial growth in future," said Rui. "We also believe that when you grow economic opportunities, everyone benefits. For this reason, we are opening the Huawei Cloud & AI Innovation Centre to application developers across all economic sectors." The new centre will be based at Huawei's South African headquarters in Woodmead, Johannesburg, but developers across Africa will be able to access the centre remotely. It will teach AI application best practice, link developers to markets, support AI supply chains, develop talent and support application innovation.

Local partners specialising in artificial intelligence AI, machine learning and automation may want to get ready for a wave of public sector work as the federal government moves to boost its automated decision making capabilities. On 9 October, Australia's Minister for Industry, Science and Technology Karen Andrews and Education Minister Dan Tehan jointly announced that the government would spend $31.8 million to establish a research centre to investigate responsible, ethical, and inclusive automated decision making. The new Centre of Excellence for Automated Decision-Making and Society will be based at RMIT University in Melbourne, and will bring together national and international experts from the humanities, and the social and technological sciences in its efforts to develop a sound basis upon which to build out automated decision making across government. While the controversy around the government's much maligned automated debt collection scheme may have left a bad taste in the public's collective mouth when it comes to automation in public services, Tehan is confident that automated decision making technology can be a force for good in the public sector. "Our Government is funding research into automated decision making to ensure this technology provides the best possible outcomes for society and industry," Tehan said in a statement.

The advancement of AI and machine learning in providing better healthcare is already on the rise across the UK. Increasingly clinicians are conscious that machine or automation-based healthcare enable a host of benefits due to the many innovative projects that are underway. The NHS' long-term plan has ambitions to drive its digital transformation to maximise the very practical benefits AI can provide. Currently, the main barriers to progress are the difficulties that some innovators encounter when negotiating unfamiliar regulations, lack of clinical safety and efficacy evidence, data curation standards, talent and skills, fear of change and concerns about the impact of working practices and relationships with patients. Despite this, perception is increasingly changing.

The advancement of AI and machine learning in providing better healthcare is already on the rise across the UK. Increasingly clinicians are conscious that machine or automation-based healthcare enable a host of benefits due to the many innovative projects that are underway. The NHS' long-term plan has ambitions to drive its digital transformation to maximise the very practical benefits AI can provide. Currently, the main barriers to progress are the difficulties that some innovators encounter when negotiating unfamiliar regulations, lack of clinical safety and efficacy evidence, data curation standards, talent and skills, fear of change and concerns about the impact of working practices and relationships with patients. Despite this, perception is increasingly changing.

This month, the government announced £50m of funding towards the creation of five new centres of excellence for digital pathology and imaging that will use artificial intelligence (AI) medical advances to speed up disease diagnosis and improve patient outcomes. NCRI is proud to be partnering with three of these centres – furthering our existing work to accelerate cancer research in pathology and imaging and linking these exciting new AI and machine learning projects to our Partners, patients and the wider cancer research community. The five centres will be based in universities and NHS facilities, and bring together doctors, businesses, AI researchers and academics. Together, they will form a network of centres using AI to develop more intelligent analysis of medical imaging and find new ways to speed up diagnosis of diseases to improve outcomes for patients. The technologies developed at the new centres will offer more personalised treatment for patients while freeing up healthcare professionals to spend more time caring for patients.

A new Centre at the University of Cambridge will develop artificial intelligence techniques to help address some of the biggest threats facing the planet. Funded by UK Research and Innovation (UKRI), the Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) is one of 16 new Centres for Doctoral Training (CDTs) announced today. The Cambridge Centre will be led by Professor Simon Redfern, Head of the Department of Earth Sciences. Climate risk, environmental change and environmental hazards pose some of the most significant threats we face in the 21st century. At the same time, we have increasingly larger datasets available to observe the planet, from the atomic scale all the way through to global satellite observations.