Computer Sciences

A new approximate computing approach using CNNs

Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a ...

Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

Computer Sciences

A new way to let AI chatbots converse all day without crashing

When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots' performance to ...

Engineering

Scientific AI's 'black box' is no match for 200-year-old method

One of the oldest tools in computational physics—a 200-year-old mathematical technique known as Fourier analysis—can reveal crucial information about how a form of artificial intelligence called a deep neural network ...

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