We propose a deep stochastic actor–critic algorithm with an integrated network architecture and fewer parameters. We address stabilization of the learning procedure via an adaptive objective to the ...

We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Inspired by the recent progress on deep research agents, we design the first deep research agent for code, called Code Researcher, and apply it to the problem of generating patches for mitigating ...