Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Abstract: Class Activation Mapping (CAM) methods are widely applied in weakly supervised learning tasks due to their ability to highlight object regions. However, conventional CAM methods highlight ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...

This new crime drama shares a creator and tone with an earlier HBO hit, “Mare of Easttown.” By Esther Zuckerman The Delco accents are as thick as an overstuffed Wawa hoagie in the new crime drama ...

According to @AIatMeta, DINOv3 leverages self-supervised learning (SSL) to train on 1.7 billion images using a 7-billion-parameter model without the need for labeled data, which is especially ...

Abstract: Object pose estimation using learning-based methods often necessitates vast amounts of meticulously labeled training data. The process of capturing real-world object images under diverse ...

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...

Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs’ reasoning and coding abilities, particularly in domains where structured reference answers allow clear-cut ...