{"id":3699,"date":"2024-08-07T15:00:13","date_gmt":"2024-08-07T15:00:13","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2024\/08\/07\/problem-solved-stem-studies-supercharged-with-rtx-and-ai-technologies\/"},"modified":"2024-08-07T15:00:13","modified_gmt":"2024-08-07T15:00:13","slug":"problem-solved-stem-studies-supercharged-with-rtx-and-ai-technologies","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2024\/08\/07\/problem-solved-stem-studies-supercharged-with-rtx-and-ai-technologies\/","title":{"rendered":"Problem Solved: STEM Studies Supercharged With RTX and AI Technologies"},"content":{"rendered":"
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Editor\u2019s note: This post is part of the <\/i>AI Decoded series<\/i><\/a>, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users.<\/i><\/p>\n

AI powered by NVIDIA GPUs is accelerating nearly every industry, creating high demand for graduates, especially from STEM fields, who are proficient in using the technology. Millions of students worldwide are participating in university STEM programs to learn skills that will set them up for career success.<\/p>\n

To prepare students for the future job market, NVIDIA has worked with top universities to develop a GPU-accelerated AI curriculum that\u2019s now taught in more than 5,000 schools globally. Students can get a jumpstart outside of class with NVIDIA\u2019s AI Learning Essentials<\/a>, a set of resources that equips individuals with the necessary knowledge, skills and certifications for the rapidly evolving AI workforce.<\/p>\n

NVIDIA GPUs \u2014 whether running in university data centers, GeForce RTX laptops or NVIDIA RTX workstations \u2014 are accelerating studies, helping enhance the learning experience and enabling students to gain hands-on experience with hardware used widely in real-world applications.<\/p>\n<\/p>\n

Supercharged AI Studies<\/b><\/h2>\n

NVIDIA provides several tools to help students accelerate their studies.<\/p>\n

The RTX AI Toolkit<\/a> is a powerful resource for students looking to develop and customize AI models for projects in computer science, data science, and other STEM fields. It allows students to train and fine-tune the latest generative AI models, including Gemma, Llama 3 and Phi 3, up to 30x faster \u2014 enabling them to iterate and innovate more efficiently, advancing their studies and research projects.<\/p>\n

Students studying data science and economics can use NVIDIA RAPIDS<\/a> AI and data science software libraries to run traditional machine learning models up to 25x faster than conventional methods, helping them handle large datasets more efficiently, perform complex analyses in record time and gain deeper insights from data.<\/p>\n

AI-deal for Robotics, Architecture and Design<\/b><\/h2>\n

Students studying robotics can tap the NVIDIA Isaac<\/a> platform for developing, testing and deploying AI-powered robotics applications. Powered by NVIDIA GPUs, the platform consists of NVIDIA-accelerated libraries, applications frameworks and AI models that supercharge the development of AI-powered robots like autonomous mobile robots, arms and manipulators, and humanoids<\/a>.<\/p>\n

While GPUs have long been used for 3D design, modeling and simulation, their role has significantly expanded with the advancement of AI. GPUs are today used to run AI models that dramatically accelerate rendering processes.<\/p>\n

Some industry-standard design tools powered by NVIDIA GPUs and AI include:<\/p>\n