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Using machine learning to identify different types of brain injuries

AIHub

Researchers have developed an algorithm that can detect and identify different types of brain injuries. The team, from the University of Cambridge, Imperial College London and CONICET, have clinically validated and tested their method on large sets of CT scans and found that it was successfully able to detect, segment, quantify and differentiate different types of brain lesions. Their results, reported in The Lancet Digital Health, could be useful in large-scale research studies, for developing more personalised treatments for head injuries and, with further validation, could be useful in certain clinical scenarios, such as those where radiological expertise is at a premium. Head injury is a huge public health burden around the world and affects up to 60 million people each year. It is the leading cause of mortality in young adults.


Independent scientists urge UK government to delay reopening schools

New Scientist

Delaying the reopening of primary schools in England on 1 June by two weeks could halve the risk to each child of being exposed to an infectious classmate, according to a report by the Independent Scientific Advisory Group for Emergencies, a recently-formed group of scientists that is seeking to provide alternative advice to the UK government. The group say that modelling suggests that waiting until September would reduce this risk further, to less than the risk to children of road traffic accidents. The group is chaired by former government chief scientific advisor David King and is separate from the official SAGE committee that advises the UK government. "The crucial factor allowing school reopening around the world has been the presence of well-functioning local test, trace and isolate protocols – something that is now accepted will not be in place in England by early June," the report says. It adds that before schools can reopen, it is important to confirm that daily new ...


Navenio raises £9M in Series A funding for hospital workforce AI platform

Oxford Comp Sci

Oxford University spin-out Navenio has announced £9m in Series A funding for its efficiency-boosting location technology. The funding round was led by QBN Capital and includes G.K. Goh, Hostplus, Big Pi Ventures, Oxford Investment Consultants, as well as existing investors like Oxford Sciences Innovation (OSI), IP Group plc and the University of Oxford. Navenio provides infrastructure-free indoor location solutions to power a range of apps and platforms in sectors including healthcare. Hospitals, for example, can use Navenio's artificial intelligence (AI) led'intelligent workforce solution' to assign tasks to healthcare teams based on their location. This helps prioritise workload in real-time.


UK needs contact strategy to prevent second wave of covid-19

New Scientist

The NHS Confederation, a membership body that represents people who commission or provide NHS services, has warned of the urgent need for a UK contact tracing strategy. "Our members are concerned that unless there is a clear strategy, then there must be a greater risk of a second wave of infections and serious health consequences," chief executive Niall Dickson wrote in a letter sent to the UK's health and social care minister Matt Hancock yesterday. "We would therefore urge you to produce such a strategy with a clear implementation plan ahead of any further easing of the lockdown." Dickson welcomed Prime Minister Boris Johnson's new commitment to trace 10,000 new coronavirus cases per day by 1 June, adding that "delivery and implementation will be critical, and we await further details." However, he said that a strategy for tracing contacts "should have been in place much sooner". An international randomised controlled trial investigating whether hydroxychloroquine and chloroquine ...


Andrew Carr's review of The Road to Conscious Machines

Oxford Comp Sci

Ironically or not, the best way to understand science is often through history. As Wooldridge relates early on, he planned this book as'the story of AI through failed ideas' - and in this he succeeds brilliantly in showing the fascinating and compelling slog towards Artificial Intelligence. This is an outstanding read. It is passionate about the technology, yet sceptical about its achievements. Wooldridge - Head of the Computer Science department at Oxford University - is humane in his judgements, yet clear and logical in his assessments.


UK government advised to 'urgently' build up contact tracing capacity

New Scientist

UK government advised to'urgently' build up contact tracing capacity The UK House of Commons science and technology committee has made recommendations to the government based on evidence from its on-going inquiry into the role of science in the country's pandemic response. These include a call for the government to "urgently" build up capacity for contact tracing. The committee also recommended that the government be more transparent about the scientific advice it receives, asking that the published list of Scientific Advisory Group for Emergencies (SAGE) members be updated regularly. They also suggested the government set out a plan for tackling infections spread by people who do not have any covid-19 symptoms, and called for the systematic recording of the ethnicity of everyone who dies from the disease. The committee also urged the government to publish its rationale for concentrating coronavirus testing in a limited number of Public Health England laboratories, rather than making ...


Is the Brain a Useful Model for Artificial Intelligence?

#artificialintelligence

In the summer of 2009, the Israeli neuroscientist Henry Markram strode onto the TED stage in Oxford, England, and made an immodest proposal: Within a decade, he said, he and his colleagues would build a complete simulation of the human brain inside a supercomputer. They'd already spent years mapping the cells in the neocortex, the supposed seat of thought and perception. "It's a bit like going and cataloging a piece of the rain forest," Markram explained. "How many trees does it have? What shapes are the trees?"


Q&A: research into sound-collecting app to aid respiratory disease diagnosis

AIHub

A recording of a cough, the noise of a person's breathing or even the sound of their voice could be used to help diagnose patients with Covid-19 in the future, according to Professor Cecilia Mascolo, co-director of the centre for mobile, wearable systems and augmented intelligence at the University of Cambridge, UK. Prof. Mascolo has developed a sound-collecting app to help train machine learning algorithms to detect the tell-tale sounds of coronavirus infection. Created as part of a project called EAR, she hopes it might eventually lead to new ways of diagnosing respiratory diseases and help in the global fight against coronavirus. The human body makes noises all of the time. Our heart, lungs and digestive system all make noises and they can tell us a lot.


Executive Interview: Dr. David Bray, Director, Atlantic Council - AI Trends

#artificialintelligence

Dr. David Bray is the Inaugural Director of the new global GeoTech Center & Commission of the Atlantic Council, a nonprofit for international political, business, and intellectual leaders founded in 1961. Headquartered in Washington, DC, the Council offers programs related to international security and global economic prosperity. In previous leadership roles, Bray led the technology aspects of the Centers for Disease Control's bioterrorism preparedness program in response to 9/11, the outbreak response to the West Nile virus, SARS, monkey pox and other emergencies. He also spent time on the ground in Afghanistan in 2009 as a senior advisor to both military and humanitarian assistance efforts, serving as the non-partisan Executive Director for a bipartisan National Commission on R&D, and providing leadership as a non-partisan federal agency Senior Executive focused on digital modernization. He also is a Young Global Leader for 2017-2021 of the World Economic Forum. Bray is a member of multiple Boards of Directors and has worked with the U.S. Special Operations Command on counter-misinformation efforts. He was invited to give the 2019 UN Charter Keynote on the future of AI & IoT governance. His academic background includes a PhD from Emory University; he also has held affiliations with MIT, Harvard, and the University of Oxford. He recently took a few moments to speak to AI Trends Editor John P. Desmond about current events, including the geopolitics of the COVID-19 pandemic. AI Trends: Thank you David for talking to AI Trends today.


Assassin's Creed Valhalla details: Character customization, new stealth mechanics and ... viking rap battles

Washington Post - Technology News

There are now a few more new details around the coming release of "Assassin's Creed Valhalla," an open-world title announced last month that continues the epic tale of assassins versus Templars across pivotal moments in history. Launching this holiday season, "Assassin's Creed Valhalla" is the 12th entry in the long-running series. Through the eyes of Eivor, a new viking raider protagonist who can be played as male or female, you journey back to the ninth century and explore Norway and England during the Viking Age.