News from the AI & ML world
DeeperML
@developer.nvidia.com
// 22d
NVIDIA is making strides in accelerating scientific research and adapting to changing global regulations. The company is focusing on battery innovation through the development of specialized Large Language Models (LLMs) with advanced reasoning capabilities. These models, exemplified by SES AI's Molecular Universe LLM, a 70B parameter model, are designed to overcome the limitations of general-purpose LLMs by incorporating domain-specific knowledge and terminology. This approach significantly enhances performance in specialized fields, enabling tasks such as hypothesis generation, chain-of-thought reasoning, and self-correction, which are critical for driving material exploration and boosting expert productivity.
NVIDIA is also navigating export control rules by preparing a cut-down version of its HGX H20 AI processor for the Chinese market. This strategic move aims to maintain access to this crucial market while adhering to updated U.S. export regulations that effectively barred the original version. The downgraded AI GPU will feature reduced HBM memory capacity to comply with the newly imposed technical limits. This adjustment ensures that NVIDIA remains within the permissible thresholds set by the U.S. government, reflecting the company's commitment to complying with international trade laws while continuing to serve its global customer base.
In addition to its work on battery research and regulatory compliance, NVIDIA has introduced Audio-SDS, a unified diffusion-based framework for prompt-guided audio synthesis and source separation. This innovative framework leverages a single pretrained model to perform various audio tasks without requiring specialized datasets. By adapting Score Distillation Sampling (SDS) to audio diffusion, NVIDIA is enabling the optimization of parametric audio representations, uniting signal-processing interpretability with the flexibility of modern diffusion-based generation. This technology promises to advance audio synthesis and source separation by integrating data-driven priors with explicit parameter control, producing perceptually compelling results.
ImgSrc: developer-blogs
References :
NVIDIA is also navigating export control rules by preparing a cut-down version of its HGX H20 AI processor for the Chinese market. This strategic move aims to maintain access to this crucial market while adhering to updated U.S. export regulations that effectively barred the original version. The downgraded AI GPU will feature reduced HBM memory capacity to comply with the newly imposed technical limits. This adjustment ensures that NVIDIA remains within the permissible thresholds set by the U.S. government, reflecting the company's commitment to complying with international trade laws while continuing to serve its global customer base.
In addition to its work on battery research and regulatory compliance, NVIDIA has introduced Audio-SDS, a unified diffusion-based framework for prompt-guided audio synthesis and source separation. This innovative framework leverages a single pretrained model to perform various audio tasks without requiring specialized datasets. By adapting Score Distillation Sampling (SDS) to audio diffusion, NVIDIA is enabling the optimization of parametric audio representations, uniting signal-processing interpretability with the flexibility of modern diffusion-based generation. This technology promises to advance audio synthesis and source separation by integrating data-driven priors with explicit parameter control, producing perceptually compelling results.
ImgSrc: developer-blogs
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References :
- developer.nvidia.com: Scientific research in complex fields like battery innovation is often slowed by manual evaluation of materials, limiting progress to just dozens of candidates...
- www.tomshardware.com: Nvidia plans to launch a downgraded HGX H20 AI processor with reduced HBM memory capacity for China by July to comply with new U.S. export rules, if a new rumor is correct.
- www.marktechpost.com: Audio diffusion models have achieved high-quality speech, music, and Foley sound synthesis, yet they predominantly excel at sample generation rather than parameter optimization.
Classification:
- HashTags: #AIresearch #BatteryInnovation #GPU
- Company: NVIDIA
- Target: Researchers, Developers
- Product: CUDA
- Feature: Specialized LLMs
- Type: AI
- Severity: Informative