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What can NVIDIA AI do for science students?

  • August 7, 2024
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NVIDIA’s activity does not stop in the summer, and the latest example of this can be found in the new piece of AI Decoded, which this week focuses

What can NVIDIA AI do for science students?

NVIDIA’s activity does not stop in the summer, and the latest example of this can be found in the new piece of AI Decoded, which this week focuses on a point that I personally think is extremely important, because it is limited to the present, but with a future projection of the first magnitude, because devoted to sniping What different AI-based technology solutions can do for STEM students (Science, Technology, Engineering and Mathematics, Science, Technology, Engineering and Mathematics).

The arrival of systems (computers and workstations) with the computational capacity of artificial intelligence marks a before and after in this sense, and although it seems that this became possible only recently, mainly thanks to the arrival of the first systems that make up the NPU, the truth is AI computing power has been present in computers for several yearsand this is mainly thanks to the specialization offered in this sense by the NVIDIA GeForce RTX 30 and 40 series GPUs.

So, in effect, this means that STEM students can find in systems equipped with NVIDIA graphics adapters, both integrated and dedicated, in addition to, of course, study center infrastructures that have also opted for specialized hardware such as the one in question. the perfect ally for your needs.

What can NVIDIA AI do for science students?

And what tools are they? The truth is that they are not few and also the most diverse, which allows them to be used to solve a variety of tasks, but always related to the training activities themselves. These are some of the ones we can find reviewed in this week’s AI Decoded:

  • NVIDIA RAPIDS: Run traditional learning models up to 25x faster to efficiently manage data and perform complex analytics.
  • NVIDIA Studio Platform: Accelerate creative processes with RTX and AI in applications like Adobe Creative Cloud and Autodesk.
  • RTX AI Toolkit – Develop and customize AI models up to 30x faster, efficiently improve research projects and other studies.
  • NVIDIA Isaac Platform: Accelerates the development of robotics applications by harnessing the power of AI, including autonomous and humanoid robots.
  • ChatRTX: Creates custom GPT models and links them to study materials, providing fast and secure answers on Windows RTX PCs.
  • NVIDIA Broadcast – A free application that delivers professional AI-powered audio and video on RTX PCs and workstations that seamlessly integrates with remote learning applications.

If we focus on the tools dedicated to design, which plays a key role in many engineering projects, we also find an extremely broad design, since many of the main tools use NVIDIA technologies:

  • SOLIDWORKS Visualize – This 3D computer-aided design rendering software uses denoising with NVIDIA Optix AI technology to produce high-quality ray-traced images, simplifying the design process by providing faster and more accurate visual feedback.
  • Blender – This popular 3D creation suite uses NVIDIA Optix’s AI-powered denoising to deliver stunning ray images, dramatically speeding up content creation workflows.
  • D5 Render: Commonly used by architects, interior designers, and engineers, this solution features NVIDIA DLSS real-time rendering technology for smoother, more detailed visualizations without sacrificing performance.
  • Enscape: Allows you to create geometric graphs with a higher resolution and exactly the same frame rate. It uses DLSS to enhance real-time rendering capabilities, providing architects and designers with seamless, high-fidelity visual previews of their projects.

Source: Muy Computer

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