Neuroscientists once thought they could train rats to navigate mazes by color. Rats don’t perceive colors at all. Instead, they rely on the distinct odors of different colors of paint. New work finds that neural networks are prone to this sort of misalignment between training goals and learning.
Neuroscientists once thought they could train rats to navigate mazes by color. Rats don’t perceive colors at all. Instead, they rely on the distinct odors of different colors of paint. New work finds that neural networks are prone to this sort of misalignment between training goals and learning.
The latest update of the acclaimed real-time object detector You Only Look Once is more accurate than ever. Researchers at Taiwan’s Institute of Information Science Academia Sinica offer YOLOv4 — the first version not to include the architecture’s original creators.
Will reading soon become obsolete? A new system converts text articles into videos. VidPress, a prototype project from Chinese tech giant Baidu, currently generates more than 1,000 narrated video summaries of news stories daily.
Will reading soon become obsolete? A new system converts text articles into videos. VidPress, a prototype project from Chinese tech giant Baidu, currently generates more than 1,000 narrated video summaries of news stories daily.
Facebook’s AI can’t spot Covid-19 disinformation on its own. But with human help, it can slow the spread. Facebook uses a combination of humans and neural nets to crack down on messages that make false claims about Covid-19, which may have deadly consequences.
Facebook’s AI can’t spot Covid-19 disinformation on its own. But with human help, it can slow the spread. Facebook uses a combination of humans and neural nets to crack down on messages that make false claims about Covid-19, which may have deadly consequences.
Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Human teachers can teach more effectively by adjusting their methods in response to student feedback. It turns out that teacher networks can do the same.
An algorithm indexed photos, ads, and other images embedded in 170 years of American newspapers. Created by researchers at the University of Washington and U.S. Library of Congress, Newspaper Navigator uses object recognition to organize visual features of newspapers dating back to 1789.
Human teachers can teach more effectively by adjusting their methods in response to student feedback. It turns out that teacher networks can do the same.
An algorithm indexed photos, ads, and other images embedded in 170 years of American newspapers. Created by researchers at the University of Washington and U.S. Library of Congress, Newspaper Navigator uses object recognition to organize visual features of newspapers dating back to 1789.
Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.
A machine learning model is scanning the oceans for the glint of garbage. Researchers from the UK’s Plymouth Marine Laboratory trained a model to identify ocean-borne refuse.
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