It’s a really important first step towards artificial general intelligence, algorithms that can do more than a single narrowly-defined task.
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Ceramic aerogels have been protecting industrial equipment and space-bound scientific instruments for decades, thanks to their incredible lightness and ability to withstand intense heat. The problem is they can be pretty brittle. Now, a team led by researchers at the University of California Los Angeles (UCLA) has developed a new ceramic aerogel that’s far hardier and more flexible, even after repeated exposure to wild temperature swings.
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Scientists think they’ve identified a previously unknown form of neural communication that self-propagates across brain tissue, and can leap wirelessly from neurons in one section of brain tissue to another – even if they’ve been surgically severed.
The discovery offers some radical new insights about the way neurons might be talking to one another, via a mysterious process unrelated to conventionally understood mechanisms, such as synaptic transmission, axonal transport, and gap junction connections.
“We don’t know yet the ‘So what?’ part of this discovery entirely,” says neural and biomedical engineer Dominique Durand from Case Western Reserve University.
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The immune system is incredibly important, thanks to its role in fighting off dangerous invaders in our bodies. But sometimes it gets it wrong, targeting harmless proteins from things like nuts or dairy products and triggering allergic reactions that ironically can themselves be fatal. Now, researchers from Michigan State University have identified a mechanism that helps keep the immune system in check, potentially paving the way for drugs that could prevent allergic reactions before they start.
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But as the Chinese authorities embrace new information technology to monitor, manage and control the public like never before, the prospect of a sweeping social credit system has raised alarm around the world, especially with the ever-tightening grip on civil society, rights activism and religion.
A dozen or so cities are test beds for carrot-and-stick programmes to encourage businesses and individuals to comply with existing rules. The schemes have been criticised as Orwellian, but experience varies for those on the ground.
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Researchers at IBM have recently devised a new technique to virtually patch security vulnerabilities before they are found. Their approach, presented at the International Workshop on Information and Operational Technology, co-located with RAID18, leverages testing techniques for supervised learning-based data generation.
“While researching a solution to find security vulnerabilities in popular software, we paused to think about the following problem: We know practically and theoretically that it is impossible to find all vulnerabilities in an application, and the security community is in a constant race to discover those vulnerabilities in the hope of finding them before the bad guys do,” Fady Copty, lead researcher of the study, told TechXplore. “This means enforcing regulations and constantly deploying security patches to systems.”
Deploying a security patch on an application is a tedious and time-consuming task, which entails a series of steps: identifying the vulnerable version of the application, managing this vulnerability, delivering the patch, deploying it and then restarting the application. Often, patches are deployed over long periods of time, hence applications can remain vulnerable for a period after a vulnerability has been discovered. To speed up this process, researchers have recently introduced virtual patches, which are enforced using intrusion detection and prevention systems.
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Researchers this week announced they had developed an automatic text generator using artificial intelligence which is very good—so good, it is keeping details private for now.
That software developed by OpenAI could be used to generate news stories, product reviews and other kinds of writing which may be more realistic than anything developed before by computer.
OpenAI, a research center backed by Tesla’s Elon Musk, Amazon and Microsoft, said the new software “achieves state-of-the-art performance on many language modeling benchmarks,” including summarization and translating.
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