Visual Studio Code 1.129 adds a dedicated process for running AI agent sessions and an experimental docked editor for reviewing agent-generated changes.

For visual generation, discrete autoregressive models often struggle with poor tokenizer reconstruction, difficulties in sampling from large vocabularies, and slow token-by-token generation speeds. We ...

The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative ...

Abstract: The success of deep learning techniques in diverse fields has prompted research into their application for automatic software vulnerability discovery. The first step in the design of a deep ...

Abstract: Learning generalizable visual representations from Internet data has yielded promising results for robotics. Yet, prevailing approaches focus on pre-training 2D representations, being ...