The more general point is that computer algorithms will have a devil of a time predicting which jobs are most at risk for being replaced by computers, since they have no comprehension of the skills required to do a particular job successfully. In one study that was widely covered (including by The Washington Post, The Economist, Ars Technica, and The Verge), Oxford University researchers used the U.S. Department of Labor's O NET database, which assesses the importance of various skill competencies for hundreds of occupations. For example, using a scale of 0 to 100, O*NET gauges finger dexterity to be more important for dentists (81) than for locksmiths (72) or barbers (60). The Oxford researchers then coded each of 70 occupations as either automatable or not and correlated these yes/no assessments with O*NET's scores for nine skill categories. Using these statistical correlations, the researchers then estimated the probability of computerization for 702 occupations.
For many, AI can represent a threat... yet, should AI cause us such fear and concern? No one could be better placed to unpack this topic than Dr. Michael Wooldridge (Professor of Computer Science; Head of Department) from Oxford University. We talk about the effect of AI on the future work force, which jobs and sectors are at risk, and how AI will impact our rights, wealth, and wellbeing. Do you see AI as a challenge or an opportunity?
Researchers at the Image Processing Laboratory (IPL) of the University of Valencia, in collaboration with the University of Oxford and the Phi-Lab of the European Space Agency (ESA), have developed a model for flood detection based on neural networks. It's called WorldFloods and has been launched into space by aerospace company D-Orbit from Cape Canaveral. In terms of flooding, observing the Earth from space provides valuable information for decision-making on the ground. Large constellations of small nanosatellites--the CubeSats--are a promising solution to reduce revisitation time from days to hours--as long as it takes a sensor to re-cover a location--in disaster areas. However, data transmission to terrestrial receivers is limited by the power and bandwidth restrictions of the cubes.
Researchers at the Image Processing Laboratory (IPL) of the University of Valencia, in collaboration with the University of Oxford and the Phi-Lab of the European Space Agency (ESA), have developed a model for flood detection based on neural networks. It's called WorldFloods and has been launched into space by aerospace company D-Orbit from Cape Canaveral. In terms of flooding, observing the Earth from space provides valuable information for decision-making on the ground. Large constellations of small nanosatellites – the CubeSats – are a promising solution to reduce revisitation time from days to hours – as long as it takes a sensor to re-cover a location – in disaster areas. However, data transmission to terrestrial receivers is limited by the power and bandwidth restrictions of the cubes.
AI/ML Job: Software Engineer (ML) Software Engineer (ML) at Mind Foundry United Kingdom › Oxford (Posted Jul 8 2021) Do they allow remote work? Remote work is possible, see the description below for more information. Job description We're looking for an experienced Software Engineer (Machine Learning) to join our rapidly growing University of Oxford company in our Engineering team. We are a group of passionate, skilled and inquisitive individuals working together in an open, transparent and fun environment, where contributions are encouraged and valued to help achieve our vision of a future where AI and Humans work together to solve the world's most important problems ABOUT YOU You will love getting stuck-in; taking ideas from concept through to production, making elegant and maintainable solutions to complex data-centric problems, and working with an awesome team of like-minded engineers building exciting new products. Your passion for software engineering and product development will allow you to thrive in our fast-paced start-up environment.
This report explores the opportunities for automation and AI in health care and the challenges of deploying them in practice. It draws on learning from the Health Foundation's programmes and research – including a recent study by the University of Oxford on the potential of automation in primary care – as well as a range of other literature. Informed by YouGov online surveys of more than 4,000 UK adults and more than 1,000 NHS staff, the report finds that while automation and AI hold huge potential for improving care and supporting the NHS to increase its productivity, in developing and deploying them we must be careful not to squeeze out the human dimension of health care, and must support the health and care workforce to adapt to and shape technological change. Our surveys found public and NHS staff opinion divided on whether automation and AI in health care are a good or bad thing. Government and NHS leaders must therefore engage with the public and NHS workforce to raise awareness of and build confidence in technology-enabled care.
I read a paper from ETSI last week which talks of protecting Artificial Intelligence models against threats and attacks. This topic is of interest to me since we cover it in the artificial intelligence for cybersecurity course at the University of Oxford. Protecting AI models from threats is getting increasingly more important but is not yet fully understood. While AI is a central part of life and business, AI is also under increasing attack. The paper lists the threats and the mitigation strategies for AI related cyber threats.
Scientists from Oxford University have used a machine learning algorithm to discover every lion has its own identifiable and trackable roar. Previous research has shown that lions roar to communicate with other members of their pride and scare off foes. But we still know little about how they recognize which animal has made the call. The Oxford scientists tried to find out by designing a device called a "biologger" that's attached to a lion's existing GPS collar to record audio and movement data. They then associated each call with a lion by cross-referencing the data through their recordings of roars.
Navenio, the UK company that has pioneered indoor location-based artificial intelligence to revolutionise workflows and can double the throughput of hospital teams, has been successful in securing funding in the latest round of the Artificial Intelligence in Health and Care Award. Navenio was one of 38 organisations to receive the funding in the second round of the competition, with the AI Award making £140 million available to multiple applicants over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan. Through world-leading University of Oxford research, Navenio creates unique indoor location-based services, solving the problem that GPS doesn't work indoors without requiring any new infrastructure. The Award's aim is to increase the impact of AI-driven technologies to help solve clinical and operational challenges across the NHS and care settings. It aligns perfectly with Navenio's mission to help transform hospitals through ensuring the right person is in the right place, at the right time.