Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

According to Google DeepMind, Gemini 3 Pro leverages multi-step reinforcement learning to significantly improve accuracy and reduce hallucinations in AI-generated content. The model is designed to ...

An incredible new image shows the multi-tailed alien comet 3I/ATLAS shooting past a distant galaxy in the night sky. The stunning scene is a reminder of the object's perfectly natural interstellar ...

1 University of South Florida College of Medicine, Tampa, FL, United States 2 Tampa General Hospital, Tampa, FL, United States Background: Acute management of traumatic brain injury (TBI) presents ...

How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a ...

YouTube announced in its latest blog post that users who stream videos on their platform via televisions and other larger screens are seeing five new features now, including the new Super Resolution ...

What QeRL changes in the Reinforcement Learning (RL) loop? Most RLHF/GRPO/DAPO pipelines spend the bulk of wall-clock time in rollouts (token generation). QeRL shifts the policy’s weight path to NVFP4 ...

🔥 DIV4K-50 Dataset: We build the DIV4K-50 dataset as a challenging testset to upscale a low-quality (LQ) image in 256 × 256 resolution with multiple degradations to a high-quality (HQ) 4K image in ...