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Category: robotics/AI

Chinese state-run news agency Xinhua has unveiled “the world’s first female AI news anchor.” The computer-generated journo will team up with Xinhua’s existing male AI anchors at an upcoming series of political meetings in China.

The virtual reporter, named Xin Xiaomeng, was developed by Xinhua, in conjunction with a search engine company called Sogou. Developers modeled her speech and mannerisms on Xinhua news anchor Qui Meng, and showed her off in a video released on Tuesday.

Xiaomeng is lifelike, blinking and adjusting her hands as she speaks into the camera. Save for some rigid mouth movement, she could pass for the real thing.

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  • Spherical nucleic acids are a class of personalized medicines for treating cancer and other diseases
  • SNAs are challenging to optimize because their structures can vary in many ways
  • Northwestern University team developed a library approach and machine learning to rapidly synthesize, analyze and select for potent SNA medicines

EVANSTON, Ill.— With their ability to treat a wide a variety of diseases, (SNAs) are poised to revolutionize medicine. But before these digitally designed nanostructures can reach their full potential, researchers need to optimize their various components.

A Northwestern University team led by nanotechnology pioneer Chad A. Mirkin has developed a direct route to optimize these challenging particles, bringing them one step closer to becoming a viable treatment option for many forms of cancer, , neurological disorders and more.

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There’s a four-bedroom Edinburgh unit with “original wood floors,” listed by Christine. And there’s a two-bathroom apartment in Gainesville with a double sofa bed and open kitchen plan, listed by Michel. A “beautiful apartment” in Berlin has a “floral feeling.” A three-bedroom in Rome includes “utilities and toiletries.”

There’s just one problem with these Airbnb listings: they don’t exist.

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A group of computer scientists once backed by Elon Musk has caused some alarm by developing an advanced artificial intelligence (AI) they say is too dangerous to release to the public.

OpenAI, a research non-profit based in San Francisco, says its “chameleon-like” language prediction system, called GPT–2, will only ever see a limited release in a scaled-down version, due to “concerns about malicious applications of the technology”.

That’s because the computer model, which generates original paragraphs of text based on what it is given to ‘read’, is a little too good at its job.

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One way to crack this problem, according to the authors of a Perspective in this issue, is through a hybrid approach. The latest techniques in deep learning should be accompanied by a hand-in-glove pursuit of conventional physical modelling to help to overcome otherwise intractable problems such as simulating the particle-formation processes that govern cloud convection. The hybrid approach makes the most of well-understood physical principles such as fluid dynamics, incorporating deep learning where physical processes cannot yet be adequately resolved.

Studies of complex climate and ocean systems could gain from a hybrid between artificial intelligence and physical modelling.

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