Computer Sciences
In recent years, models based on deep neural networks have achieved remarkable results on numerous tasks. Despite their high prediction accuracy, these models are known for their "black-box" nature, which essentially means ...
Computer Sciences
In a perfect world, what you see is what you get. If this were the case, the job of artificial intelligence systems would be refreshingly straightforward.
Mar 8, 2021
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125
Machine learning & AI
Researchers in China have recognised that optical character recognition (OCR) has matured and can identify and extract information from documents that use standard writing styles. However, the world over people have very ...
Mar 18, 2020
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Hardware
To combat supply chain counterfeiting, which can cost companies billions of dollars annually, MIT researchers have invented a cryptographic ID tag that's small enough to fit on virtually any product and verify its authenticity.
Feb 20, 2020
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42
Machine learning & AI
A study from the Aalto Acoustics Lab demonstrates that digital simulations of guitar amplifiers can sound just like the real thing. The implications are that as the software models continue to improve, they can replace traditional ...
Feb 11, 2020
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8
Engineering
For the uninitiated in biological computing, the ZDNet headline may have suggested a language processing experiment gone haywire: "Test tube DNA computer calculates the square root of 900."
Engineering
It is safe to say that 3-D displays do not necessarily occur in nature—unless one considers the cephalopod, which includes the squid and octopus, as a living 3-D display which can morph its structure and create complex ...
Sep 23, 2019
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47
Robotics
In Canadian author Margaret Atwood's book The Blind Assassin, she says that "touch comes before sight, before speech. It's the first language and the last, and it always tells the truth."
Jun 17, 2019
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21
Machine learning & AI
MIT researchers have devised a method for assessing how robust machine-learning models known as neural networks are for various tasks, by detecting when the models make mistakes they shouldn't.
May 10, 2019
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123
Automotive
A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could ...
Jan 25, 2019
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