As data grows in volume, velocity, and complexity, the data science field is booming. There��s an ever-increasing demand for talent and skill sets to help design the best data science solutions. However, the expertise that can help drive these breakthroughs requires students to have a foundation in various tools, programming languages, computing frameworks, and libraries. That��s why the��
]]>AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance. AI powers chatbots, recommender systems, computer vision applications, fraud prevention, and autonomous vehicles. It also has broad applications in engineering and science. Physics-informed machine learning (physics-ML) leverages knowledge of the physical world to��
]]>Last August, I wrote a post about GTC that asked, ��What if you could spend 8 hours with an AI legend while getting hands-on experience using some of the most advanced GPU and DPU technology available?�� My point still stands: This is exactly why you should attend training at GTC. The virtual conference offers hands-on workshops and training labs to deepen your skills in the areas of AI, HPC��
]]>In the quest for knowledge in understanding data, I never pictured my passion shifting towards AI. As a matter of fact, AI is all data! For context, the major hindrance to the implementation of AI projects across the African continent has been the lack of digitized data upon which AI algorithms are built. In my local region of Kenya, for instance, we have struggled to convert data stacked��
]]>The NVIDIA Deep Learning Institute (DLI) Teaching Kit program released an updated course for university educators to teach the latest in edge AI and robotics. The Edge AI and Robotics Teaching Kit is a collaborative effort between NVIDIA experts, a team from the University of Oxford, and the University of Maryland, Baltimore County (UMBC). As the fifth release from DLI��
]]>NVIDIA announced at SIGGRAPH several additions to its Deep Learning Institute (DLI) curriculum, including an introductory course to Pixar��s Universal Scene Description (USD) and a teaching kit for educators, looking to incorporate hands-on technical training into graphics, architectural design, and digital media production coursework. The teaching kit will be based on NVIDIA Omniverse��
]]>NVIDIA Developer Program is now bringing NVIDIA Omniverse to over 2.5 million developers around the world. At SIGGRAPH, we��re introducing exclusive events, sessions, and other resources to unveil Omniverse as our newest platform for developers. NVIDIA is delivering a suite of Omniverse apps and tools to enhance developer pipelines. Developers can plug into any layer of the platform stack��
]]>Developers, researchers, graphics professionals, and others from around the world will get a sneak peek at the latest innovations in computer graphics at the SIGGRAPH 2021 virtual conference, taking place August 9-13. NVIDIA will be presenting the breakthroughs that NVIDIA RTX technology delivers, from real-time ray tracing to AI-enhanced workflows. Watch the NVIDIA special address on��
]]>The NVIDIA Deep Learning Institute (DLI) recently released the latest version of the Accelerated Computing Teaching Kit. NVIDIA Teaching Kits are complete course solutions for use by educators in a variety of academic disciplines that benefit from GPU-accelerated computing. The new modules were developed in collaboration with University of Delaware Professor Sunita Chandrasekaran and��
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