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Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware like graphics processing units (GPUs).

Computer scientists from Rice, supported by collaborators from Intel, will present their results today at the Austin Convention Center as a part of the machine learning systems conference MLSys.

Many companies are investing heavily in GPUs and other specialized hardware to implement deep learning, a powerful form of artificial intelligence that’s behind digital assistants like Alexa and Siri, facial recognition, product recommendation systems and other technologies. For example, Nvidia, the maker of the industry’s gold-standard Tesla V100 Tensor Core GPUs, recently reported a 41% increase in its fourth quarter revenues compared with the previous year.

If it works, they would be able to input quantum information into one “black hole” circuit, which would scramble, then consume it. After a little while, that information would pop out of the second circuit, already unscrambled and decrypted. That sets it apart from existing quantum teleportation techniques, Quanta reports, as transmitted information emerges still fully scrambled and then needs to be decrypted, making the process take longer and be less accurate as an error-prone quantum computer tries to recreate the original message.

While the idea of entangled black holes and wormholes conjures sci-fi notions of intrepid explorers warping throughout the cosmos, that’s not quite what’s happening here.

Rather, it’s an evocative way to improve quantum computing technology. Recreating and entangling the bizarre properties of black holes, University of California, Berkely researcher Norman Yao told Quanta, would “allow teleportation on the fastest possible timescale.”

A new discovery could be a clue for us to see if life could emerge elsewhere in the Solar System. Using a new analysis technique, scientists think they have found an extraterrestrial protein, tucked inside a meteorite that fell to Earth 30 years ago.

If their results can be replicated, it will be the first protein ever identified that didn’t originate here on Earth.

“This paper characterises the first protein to be discovered in a meteorite,” the researchers wrote in a paper uploaded to preprint server arXiv. Their work is yet to be peer reviewed, but the implications of this finding are noteworthy.