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 whatR
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
who run the company&
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