Mesobot looks like a giant AirPods case, but it’s in fact a sophisticated machine that tracks animals making the most epic migration on Earth.
The grandest migration on Earth isn’t the journey of some herbivore in Africa or a bird in the sky, but the vertical movement of whole ecosystems in the open ocean. All kinds of animals, from fish to crustaceans, hang out in the depths during the day, where the darkness provides protection from predators. At night, they migrate up to the shallows to forage. Then they swim back down again when the sun rises—a great big conveyor belt of biomass.
But now a spy swims among them: Mesobot. Today in the journal Science Robotics, a team of engineers and oceanographers describes how they got a new autonomous underwater vehicle to lock onto movements of organisms and follow them around the ocean’s “twilight zone,” a chronically understudied band between 650 feet and 3,200 feet deep, which scientists also refer to as mid-water. Thanks to some clever engineering, the researchers did so without flustering these highly sensitive animals, making Mesobot a groundbreaking new tool for oceanographers. Read More
Daily Archives: June 17, 2021
Is ‘brain drift’ the key to machine consciousness?
Could this currently inexplicable phenomenon be what’s keeping our robots from experiencing reality?
Think about someone you love and the neurons in your brain will light up like a Christmas tree. But if you think about them again, will the same lights go off? Chances are: the answer’s no. And that could have big implications for the future of AI.
A team of neuroscientists from the University of Columbia in New York recently published research demonstrating what they refer to as “representational drift” in the brains of mice. Read More
Which VPN Providers Really Take Privacy Seriously in 2021?
Choosing the right VPN can be a tricky endeavor. There are hundreds of VPN services out there, all promising to keep you private but some are more private than others. To help you pick the best one for your needs, we asked dozens of VPNs to detail their logging practices, how they handle torrent users, and what else they do to keep you as anonymous as possible.
… We don’t want to make any recommendations. When it comes to privacy and anonymity, an outsider can’t offer any guarantees. Vulnerabilities are always lurking around the corner and even with the most secure VPN, you still have to trust the VPN company with your data.
Instead, we aim to provide an unranked overview of VPN providers, asking them questions we believe are important. Many of these questions relate to privacy and security, and the various companies answer them in their own words. Read More
Full Page Handwriting Recognition via Image to Sequence Extraction
We present a Neural Network based Handwritten Text Recognition (HTR) model architecture that can be trained to recognize full pages of handwritten or printed text without image segmentation. Being based on Image to Sequence architecture, it can extract text present in an image and then sequence it correctly without imposing any constraints regarding orientation, layout and size of text and non-text. Further, it can also be trained to generate auxiliary markup related to formatting,layout and content. We use character level vocabulary, thereby enabling language and terminology of any subject. The model achieves a new state-of-art in paragraph level recognition on the IAM dataset. When evaluated on scans of real world handwritten free form test answers -beset with curved and slanted lines, drawings, tables, math, chemistry and other symbols – it performs better than all commercially available HTR cloud APIs. It is deployed in production as part of a commercial web application. Read More
Facebook develops new method to reverse-engineer deepfakes and track their source
Deepfakes aren’t a big problem on Facebook right now, but the company continues to fund research into the technology to guard against future threats. Its latest work is a collaboration with academics from Michigan State University (MSU), with the combined team creating a method to reverse-engineer deepfakes: analyzing AI-generated imagery to reveal identifying characteristics of the machine learning model that created it.
The work is useful as it could help Facebook track down bad actors spreading deepfakes on its various social networks. This content might include misinformation but also non-consensual pornography — a depressingly common application of deepfake technology. Right now, the work is still in the research stage and isn’t ready to be deployed. Read More
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