The rise of vibe coding—where developers depend heavily on AI to write their code—makes the time before 2010 highly relevant. Back then, the industry was defined by one type of developer: the ...

This enables the realization of extremely fast convolutional sparse dictionary learning. Compared to traditional convolutional dictionary learning techniques, the proposed algorithm has two main ...

We provide a generic framework to learn shape dictionaries of landmark-based curves that are defined in the continuous domain. We first present an unbiased alignment method that involves the ...

This work addresses the fundamental linear inverse problem in compressive sensing (CS) by introducing a new type of regularizing generative prior. Our proposed method utilizes ideas from classical ...

As AI continues to grow in prominence, having a basic understanding of coding is essential for users to use it effectively.

Vibe coding tools enable designers, educators, entrepreneurs, and domain experts to participate directly in software creation ...

Andrew Ng says when he vibe codes for a day, he's "frankly exhausted" by the end.

This study provides important findings on the neural circuits underlying dishabituation of the olfactory avoidance response in Drosophila. The data as presented provide solid evidence that the ...

The process of writing computer programs is known as coding. Until recently, most computer code was written, at least originally, by human beings. But with the advent of generative artificial ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...