applied mathematics

Honeywell announces its H1 quantum computer with 10 qubits

Honeywell, which was a bit of a surprise entrant into the quantum computing space when it announced its efforts to build the world’s most powerful quantum computer earlier this year, today annou

A new way to explain neural networks

Also known as deep learning, neural networks are the algorithmic constructs that enable machines to get better at everything from facial recognition and car collision avoidance to medical diagnoses an

MIT’s new chip could bring neural nets to battery-powered gadgets

MIT researchers have developed a chip designed to speed up the hard work of running neural networks, while also reducing the power consumed when doing so dramatically – by up to 95 percent, in fact

Researchers create a light-based key distribution system for quantum encryption

Researchers at Duke University, OSU and Oak Ridge National Laboratory have solved one of the biggest problems with new forms of quantum encryption: quantum key distribution. QKD is the process of dist

Facebook finishes its move to neural machine translation

Facebook announced this morning that it had completed its move to neural machine translation — a complicated way of saying that Facebook is now using convolutional neural networks (CNNs) and recurre

IBM is working with the Air Force Research Lab on a TrueNorth 64-chip array

IBM is working with the U.S. Air Force to improve its TrueNorth line of chips designed to optimize the performance of machine learning models at the hardware level. The new 64-chip array will consist

Google’s Tensor2Tensor makes it easier to conduct deep learning experiments

Google’s brain team is open sourcing Tensor2Tensor, a new deep learning library designed to help researchers replicate results from recent papers in the field and push the boundaries of what&#82

Facebook posts its fast and accurate ConvNet models for machine translation on GitHub

In its latest paper, the Facebook AI Research (FAIR) team dropped some impressive results for its implementation of a modified convolutional neural network for machine translation. And to complement i

Gamalon leverages the work of an 18th century reverend to organize unstructured enterprise data

It’s hard to fathom that the work of Reverend Thomas Bayes is still coming back to drive cutting edge advancements in AI, but that’s exactly what’s happening. DARPA-backed Gamalon

This neural network-based software will automatically color in your line art

Maybe you enjoy sketching as a hobby, but you’re not so crazy about the work that goes into colouring in your work, or you’re just lacking in the talent department when it comes to that si

The sound of impending failure

If we can find a way to automate listening itself, we would be able to more intelligently monitor our world and its machines day and night. We could predict the failure of engines, rail infrastructu

Our robotic overlords have written us a Christmas Carol!

As we roll toward the end of humanity and the moment of robot takeover, it’s important to start learning the songs and customs of our inhumane artificial overlords. Researchers at the University

Facebook’s advice to students interested in artificial intelligence

Math. Math. Oh and perhaps some more math. That’s the gist of the advice to students interested in AI from Facebook’s Yann LeCun and Joaquin Quiñonero Candela

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Dell saves 60% on shipping by using complex predictive models

If ever anyone tells you that math is all theory and no application, slap them in the face. Then tell them that in just the latest example of applied mathematics having real-world effects, Dell has em