Methods: This study proposed an autoencoder learning ... capacity compared to other approaches. Consequently, its downstream classification ability can be significantly improved, which cannot be done ...

Thus, we use the robustness of deep learning to improve the whole system. We have combined traditional geometry-based approaches to introduce a complete visual SLAM system for monocular, binocular, ...

A streamlined SFT (Supervised Fine-Tuning) and Agent-RL (Reinforcement Learning ... complex visual problems, moving beyond passive observation towards active visual cognition. Current LVLMs excel at ...

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

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for designing and ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...

Discover how Retrieval-Augmented Fine-Tuning (RAFT) is improving AI by combining precision and adaptability for smarter ...

why their choices were the right tools to create the look and visual language of their films. The following list includes both documentaries and fiction films playing throughout the festival.