Lifeboat Foundation

From stationary to flying qubits at speeds never reached before… This feat, achieved by a team from Polytechnique Montréal and France’s Centre national de la recherche scientifique (CNRS), brings us a little closer to the era when information is transmitted via quantum principles.

In groundbreaking work on morality-proofing AI, researchers at MIT are designing neural networks that will provide explanations for why they reached a conclusion.

The best of tech and science innovation, shaping our future.

Cameron and Douglas Trumbull were honored at the Society of Motion Picture and Television Engineers’ Centennial Gala.

I remember working on data transfer and experimental apps on the NET in 1990 to 1995. And, did it ever change during just those 5 years. I cannot even imagine 1969.

On October 29th, 1969, the internet got its start when the first host-to-host connection was made between UCLA and the Stanford Research Institute. See how much you know about the invention that would change the world with some trivia questions…

Center for Data Science Professor Kyunghyun Cho talks improving multi-way, multilingual translations.

Although machines can outperform humans in almost any skill set today, there is still one process that they have yet to master: translation. Several students learning a second or third language in particular will have undoubtedly encountered some of the more hilarious results produced by Google (mis)Translate.

But a solution was recently proposed by the Center for Data Science’s very own Kyunghyun Cho. Together with Yoshua Bengio and Orhan Firat, their innovative model — which is the first to handle multi-way, multilingual translations — clinched the runners-up position for best paper at the 2016 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

Continue reading “A real-world Babel Fish: using neural networks for better translations” »

“Google is off to a solid start with the “we make hardware now” thing.”

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“For researchers given the right guidance, the market for their skills is enormous. Deep learning is now technology that every big company needs. And there are only so many researchers to go around.”

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Nextbigfuture has interviewed Ryan Weed, CEO of Positron Dynamics. Positron Dynamics is developing antimatter catalyzed fusion propulsion which they will first demonstrate in a cubesat launch. They are getting around the still mostly unsolved difficulties of storing antimatter. They are doing this by using Sodium 22 isotopes.

Positron Dynamics has previously received a lot of press coverage when it was funded by the Thiel Breakthrough foundation to work on antimatter.