The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more resources and computer power to catch up. Though identifying objects in their ...

The Medium post goes over various flavors of distillation, including response-based distillation, feature-based distillation and relation-based distillation. It also covers two fundamentally different ...

As AI has made fake content much easier to produce, a growing number of American teenagers say they are being misled by AI-generated photos, videos or other content on the internet, a new study shows.

The DeepSeek drama may have been briefly eclipsed by, you know, everything in Washington (which, if you can believe it, got even crazier Wednesday). But rest assured that over in Silicon Valley, there ...

Teens increasingly don’t trust the online content they consume, and AI is making it worse, according to a new study. A high ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a ...

But what if, instead of collecting all possible data from a sensor, we could be more selective, collecting just enough data to accurately identify whatever we’re looking for? Th ...

Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting ...