AI can now be used to generate an endless stream of plausible-sounding but meaningless words. Check out to create more babble than you know what to do with.
Selmer Bringsjord (right): … Proving things. Discovering things. I don’t think that even a hair’s width of these things have been simulated in computational and cognitive science and in AI.
I remember asking James Moor, the Dartmouth professor who’s written quite a bit on AI: “You know. Jim, you really are a true believer in this stuff but can you tell me how much time you’re willing to give these AI people?”
Continue reading “Can Human Minds Be Reduced to Computer Programs?” »
This charming conical flask-carrying robot was created by a 3D printer capable of printing with multiple different materials, at a speed and level of detail that was previously impossible. And in the future it could have some, well, slightly more useful applications…
US Defence Advanced Research Projects Agency (DARPA) researchers released a custom version of Android designed to simplify inclusion of stringent safeguards by app developers, in a bid to address concerns around data privacy.
The open-source Privacy Enhancements for Android (PE for Android) platform was built by teams at Two Six Labs and Raytheon BBN Technologies as part of DARPA’s privacy-focused Brandeis programme.
Brandeis programme manager Joshua Baron told Mobile World Live the platform aims to address a knowledge gap among app developers, which researchers found often aren’t familiar with “the expected privacy disclosures or regulations that may guide their application’s use”.
FastNICs seeks to improve network stack performance by 100x or more, and to accelerate distributed applications like training deep neural networks.
In the week of April 12–18, the top 10 search terms on Amazon.com were: toilet paper, face mask, hand sanitizer, paper towels, Lysol spray, Clorox wipes, mask, Lysol, masks for germ protection, and N95 mask. People weren’t just searching, they were buying too —and in bulk. The majority of people looking for masks ended up buying the new Amazon #1 Best Seller, “Face Mask, Pack of 50”.
When covid-19 hit, we started buying things we’d never bought before. The shift was sudden: the mainstays of Amazon’s top ten—phone cases, phone chargers, Lego—were knocked off the charts in just a few days. Nozzle, a London-based consultancy specializing in algorithmic advertising for Amazon sellers, captured the rapid change in this simple graph.
It took less than a week at the end of February for the top 10 Amazon search terms in multiple countries to fill up with products related to covid-19. You can track the spread of the pandemic by what we shopped for: the items peaked first in Italy, followed by Spain, France, Canada, and the US. The UK and Germany lag slightly behind. “It’s an incredible transition in the space of five days,” says Rael Cline, Nozzle’s CEO. The ripple effects have been seen across retail supply chains.
Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?
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Tony Webster / Flickr.
A deep learning-based model estimates attenuation maps directly from emission data, enhancing myocardial perfusion imaging on SPECT-only scanners.
An AI trained to spot objects hidden against a background is able to see through camouflage and outperforms existing algorithms at the task.
Tony Webster / Flickr.
