Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

The AI revolution began with a simple realization: the way you ask matters. Engineers and users alike discovered that ...

Based on their intuition of how human agents reason while responding to customers, researchers at Capital One developed a framework in which a team of expert AI agents, each with different expertise, ...

Carboxylic acids are ubiquitous in bioactive organic molecules and readily available chemical building blocks. Carboxylic ...

Machine learning models have found their applications in solving problems that can traditionally handle ordinary or partial differential equations. The full-wave simulations solve such equations for ...

Sparse autoencoders (SAE) use the concept of autoencoder with a slight modification. During the encoding phase, the SAE is forced to only activate a small number of the neurons in the intermediate ...

Convolutional neural networks with encoder and decoder structures, generally referred to as autoencoders, are used in many pixelwise transformation, detection, segmentation, and estimation ...

To bridge this gap, in a new paper SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs, a research team from Google Research and Carnegie Mellon University introduces ...