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AI predicts where coronavirus cases will spike next


An AI has predicted which areas of the UK will suffer spikes in coronavirus cases next by analyzing social media posts about COVID-19. These posts suggest that outbreaks will soon hit Manchester, Liverpool, Oxfordshire, Leeds, Northamptonshire, and Luton. The system was created by Dataminr, a risk detection tech firm with a track record of detecting where the virus will spread to next. It previously predicted outbreaks in London, Hertfordshire, Essex, and Kent, between 7-13 days before these areas had spikes in coronavirus cases. Seven days after the company published its predictions, all states had been hit hard by the pandemic seven days later.

Stephen Hawking - Wikipedia


Stephen William Hawking CH CBE FRS FRSA (8 January 1942 – 14 March 2018)[14][15] was an English theoretical physicist, cosmologist, author and Director of Research at the Centre for Theoretical Cosmology within the University of Cambridge.[16][17] His scientific works included a collaboration with Roger Penrose on gravitational singularity theorems in the framework of general relativity and the theoretical prediction that black holes emit radiation, often called Hawking radiation. Hawking was the first to set out a theory of cosmology explained by a union of the general theory of relativity and quantum mechanics. He was a vigorous supporter of the many-worlds interpretation of quantum mechanics.[18][19] Hawking was an Honorary Fellow of the Royal Society of Arts (FRSA), a lifetime member of the Pontifical Academy of Sciences, and a recipient of the Presidential Medal of Freedom, the highest civilian award in the United States. In 2002, Hawking was ranked number 25 in the BBC's poll of the 100 Greatest Britons. He was the Lucasian Professor of Mathematics at the University of Cambridge between 1979 and 2009 and achieved commercial success with works of popular science in which he discusses his own theories and cosmology in general. His book, A Brief History of Time, appeared on the British Sunday Times best-seller list for a record-breaking 237 weeks. Hawking had a rare early-onset slow-progressing form of motor neurone disease (also known as amyotrophic lateral sclerosis and Lou Gehrig's disease), that gradually paralysed him over the decades.[20][21] Even after the loss of his speech, he was still able to communicate through a speech-generating device, initially through use of a hand-held switch, and eventually by using a single cheek muscle. Hawking was born on 8 January 1942[22] in Oxford to Frank (1905–1986) and Isobel Hawking (née Walker; 1915–2013).[23][24] Despite their families' financial constraints, both parents attended the University of Oxford, where Frank read medicine and Isobel read Philosophy, Politics and Economics.[24] The two met shortly after the beginning of the Second World War at a medical research institute where Isobel was working as a secretary and Frank was working as a medical researcher.[24][26] They lived in Highgate; but, as London was being bombed in those years, Isobel went to Oxford to give birth in greater safety.[27] Hawking had two younger sisters, Philippa and Mary, and an adopted brother, Edward.[28] In 1950, when Hawking's father became head of the division of parasitology at the National Institute for Medical Research, Hawking and his family moved to St Albans, Hertfordshire.[29][30]

Stephen Hawking Bridged Science and Popular Culture WSJD - Technology

The University of Cambridge professor was an iconic figure in both the scientific community and in popular culture, known for his keen mind and humor, as well as his striking physical challenges. Dr. Hawking had long battled with amyotrophic lateral sclerosis, which left him wheelchair-bound for most of his life. Commonly known as Lou Gehrig's disease or motor neuron disease, the condition damages the nerves that control movement and results in paralysis. Patients with ALS typically die within five years of diagnosis. Dr. Hawking, who was diagnosed in 1963 at the age of 21, is believed to have been the longest-living survivor, a fact that still perplexes neurologists.

Large expert-curated database for benchmarking document similarity detection in biomedical literature search


Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.

British robot helping autistic children with their social skills


LONDON (Reuters) - "This is nice, it tickles me," Kaspar the social robot tells four-year-old Finn as they play together at an autism school north of London. Kaspar, developed by the University of Hertfordshire, also sings song, imitates eating, plays the tambourine and combs his hair during their sessions aimed at helping Finn with his social interaction and communication. If Finn gets too rough, the similarly sized Kaspar cries: "Ouch, that hurt me." A therapist is on hand to encourage the child to rectify his behavior by tickling the robot's feet. Finn is one of around 170 autistic children that Kaspar has helped in a handful of schools and hospitals over the last 10 years.