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Heath Robinson: WW2 codebreaking machine reconstructed

Heath Robinson: WW2 codebreaking machine reconstructed

Technology
A World War Two codebreaking machine has been reconstructed after a seven-year project so it can run in public for the first time.The Heath Robinson has been restored at The National Museum of Computing in Milton Keynes by a team of six.The machine was an early attempt to automate code-cracking and, due to its complexity, was named after the illustrator W Heath Robinson.Phil Hayes, of the museum, said the work was "quite an achievement".He said it was completed using a hand-drawn circuit diagram along with replica circuits based on 1940s technology. The elaborate appeal of Heath Robinson Tools 'that shortened WW2' donated "It was quite an achievement because all we had was a few photographs and a hand-drawn diagram," said Mr Hay...
AAAS: Machine learning 'causing science crisis'

AAAS: Machine learning 'causing science crisis'

Science
Machine-learning techniques used by thousands of scientists to analyse data are producing results that are misleading and often completely wrong.Dr Genevera Allen from Rice University in Houston said that the increased use of such systems was contributing to a “crisis in science”.She warned scientists that if they didn’t improve their techniques they would be wasting both time and money. Her research was presented at the American Association for the Advancement of Science in Washington.A growing amount of scientific research involves using machine learning software to analyse data that has already been collected. This happens across many subject areas ranging from biomedical research to astronomy. The data sets ...
Machine learning may help identify ideal dementia treatments

Machine learning may help identify ideal dementia treatments

Health
Oct. 22 (UPI) -- Machine learning may someday allow physicians to prescribe the best treatment for dementia, according to a study. Researchers devised and applied a new algorithm that can spot different patterns of progression in patients with a range of dementias in MRI scans, including Alzheimer's disease. The findings were published this month in the journal Nature Communications. "This new algorithm has the unique ability to reveal groups of patients with different variants of disease," Dr. Daniel Alexander, a professor in the University College London Center for Medical Image computing, said in a press release. "One key reason for the failure of drug trials in Alzheimer's disease is the broad mixture of very different patients they test; a treatment with a strong effect on a particul...
Machine learning could help regulators identify environmental violations

Machine learning could help regulators identify environmental violations

Science
Oct. 1 (UPI) -- Regulatory agencies tasked with protecting environmental and public health are regularly understaffed and underfunded, but new research suggests machine learning could help officials more effectively monitor potential violators. The Environmental Protection Agency and partnering state agencies are responsible for monitoring the regulatory compliance of 300,000 facilities. Regulators, however, only have the resources to inspect less than 10 percent of those facilities each year. To help the EPA catch violations, student researchers at Stanford University designed a model to identify facilities most likely to fail an inspection. Scientists trained the machine learning to interpret a variety of risk factors, including the facility's location, industry and inspection history. ...