By Trevor Hunnicutt SAN FRANCISCO The risks of artificial intelligence to national security and the economy need to

A major security vulnerability had the potential to hit “billions” of computers, according to the Google researchers who discovered it. The security flaw, dubbed “Downfall”, attacked Intel processors in a way that would allow hackers to steal passwords, encryption keys and private data from users. That’s according to Daniel Moghimi, the senior research scientist at Google who found the problem and disclosed it this week. He alerted Intel about the issue with its chips, and the company has since sent out an update to fix it. But the issue could have affected “billions of personal and cloud computers”, Google said. “Had these vulnerabilities not been discovered by Google researchers, and instead by adversaries, they would have enabled attackers to compromise Internet users,” the researchers wrote in a blog post. The attack worked by breaking through the boundary that is intended to keep software safe from attacks on the hardware. In doing so, attackers would have been able to find data that belongs to other users on the system, the attackers said. It did so by exploiting technologies that are intended to speed up various processes on the chip. Attackers were able to exploit those tools to steal sensitive information that should have stayed available only to its owner, when they were signed in. The nature of the attack means that hackers would need to be on the same physical processor as the person they are attacking. But that would be possible using malware, or the shared computing model that powers cloud computing, for instance. Intel said that the problem does not affect recent versions of its chips, and that the fix does not cause major problems. But it did suggest that users could disable the fix, if they thought the risk was not worth the slight drawbacks in performance. The company also told Bleeping Computer that “trying to exploit this outside of a controlled lab environment would be a complex undertaking”. Read More AI breakthrough could dramatically reduce planes’ global warming impact Earth hit by powerful ‘X-1’ solar flare, after fears of ‘cannibal’ blast Even Zoom wants staff to ‘come back to the office’

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WASHINGTON U.S. Transportation Secretary Pete Buttigieg said on Thursday his agency has national security concerns about Chinese autonomous

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The Dollar Baby contract is Stephen King’s way of helping film students adapt his stories without financial barriers.

Artificial intelligence could soon be used to perform radiotherapy to treat certain cancers for the first time. Draft guidance from the National Institute for Health and Care Excellence (Nice) has given approval to nine AI technologies for performing external beam radiotherapy in lung, prostate and colorectal cancers, which could save radiographers hundreds of thousands of hours and help relieve pressure on radiotherapy departments. Currently therapeutic radiographers outline healthy organs on digital images of a CT or MRI scan by hand so that the radiotherapy does not damage healthy cells by minimising the dose to normal tissue. Nice found that using AI to create the contours could free up between three and 80 minutes of radiographers’ time for each treatment plan, and that AI-generated contours were of a similar quality to manually drawn ones. Nice said that the contours would still be reviewed by a trained healthcare professional. It comes after a study found AI was safe to use in breast cancer screenings with evidence growing that it can be more effective in detecting cancers. Sign up to our free Indy100 weekly newsletter Meanwhile, Nice said it was also examining the evidence for using AI in stroke and chest scans. Dr Sarah Byron, the programme director for health technologies at Nice, said using AI could help reduce waiting lists. She added: “NHS colleagues working on the frontline in radiotherapy departments are under severe pressure with thousands of people waiting for scans. “The role imaging plays in radiotherapy treatment planning is quite pivotal, so recommending the use of AI technologies to help support treatment planning alongside clinical oversight by a trained healthcare professional could save both time and money. “We will continue to focus on what matters most and the recommendations made by our independent committee can help to bring waiting lists down for those needing radiotherapy treatment.” The health secretary, Steve Barclay, welcomed the announcement. He said: “It’s hugely encouraging to see the first positive recommendation for AI technologies from a Nice committee, as I’ve been clear the NHS must embrace innovation to keep fit for the future. “These tools have the potential to improve efficiency and save clinicians thousands of hours of time that can be spent on patient care. Smart use of tech is a key part of our NHS long-term workforce plan, and we’re establishing an expert group to work through what skills and training NHS staff may need to make best use of AI.” Charlotte Beardmore, the executive director of professional policy at the Society of Radiographers, welcomed the draft guidance but said it was not a replacement for staff and caution was needed. “It is critical there is evidence to underpin the safe application of AI in this clinical setting,” she said. Using AI would still require input by a therapeutic radiographer or another member of the oncology multi-professional team, she added. “Investment in the growth of the radiography workforce remains critical.” Science is pretty amazing. Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

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Even in this day and age, some people just prefer physical copies of their documents.

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