NeMo Team

NeMo, encompassing various research projects, focuses on developing and improving neural network models for diverse applications. Current research emphasizes efficient model architectures for tasks such as speech recognition, image generation, and solving partial differential equations, often incorporating techniques like transformer networks and novel meta-heuristics for optimization. These advancements aim to enhance model performance, robustness, and efficiency across various domains, impacting fields ranging from autonomous driving to scientific computing. A key theme is responsible AI, addressing issues like data memorization and privacy in diffusion models.