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Rethinking how our brains build the neural networks underlying motor memories

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your ...
Modern Engineering Marvels on MSN9d

Supervised Learning Achieved in DNA Winner-Take-All Neural Networks

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

AI Collaborative Learning: Understanding Deep Learning Chapter 7 - The Dual Art of Backpropagation and Initialization in AI's 'Neural Hub'

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...
Electronic Design1d

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
EurekAlert!2y

When it comes to neural networks learning motion, it’s all relative

Seeking to explore the capabilities of neural networks for recognizing and predicting motion, a group of researchers led by Hehe Fan developed and tested a deep learning approach based on relative ...
Quanta Magazine1y

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
BBN Times5d

FPGA vs. GPU for Deep Learning: Which Hardware Accelerates AI Better?

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...
Quanta Magazine3y

A New Link to an Old Model Could Crack the Mystery of Deep Learning

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...
Science Daily2y

Artificial neural networks learn better when they spend time not learning at all

Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a ...