That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...
Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting ...
A single brain cell cannot think by itself, but when it's connected with millions of other cells, that network is capable of ...
Smithsonian Magazine on MSN
Computers Are Getting Much Better at Image Recognition
The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
Deep Learning with Yacine on MSN
Inception Net V1 Explained: Step-by-Step PyTorch Implementation
Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...
There are many things computers can do better than humans—calculate square roots or retrieve a web page instantaneously—but our incredible brains are still a step ahead when it comes to common sense, ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
In a strange new experiment, scientists at Harvard hooked a monkey’s brain up to a neural net and tried to stimulate individual neurons responsible for recognizing faces. By showing the monkey images ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...
One scientist says the universe is a giant neural net. The wild concept uses neural net theory to unify quantum and classical mechanics. This is a great jumping-off point for larger philosophical ...
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