NVIDIA GTC 2024: AI AND ROBOTICS INNOVATIONS OVERVIEW

Abstract

This article explores the current trends in Artificial Intelligence (AI) and the Internet of Things (IoT), specifically focusing on their integration into the emerging technology of AIoT (Artificial Intelligence of Things). Analyzing materials from the NVIDIA GTC 2024 international conference, the paper highlights the wide-ranging applications of AIoT across diverse sectors, including industry, logistics, robotics, urban development, and autonomous vehicles. The article delves into NVIDIA's innovative developments, such as the Blackwell platform for Generative AI, the Omniverse platform for creating digital twins, and the Isaac platform for advancing robotics. These technologies unlock new possibilities for AIoT applications in various domains, including urban planning, public transportation, drone navigation, and household robotics. Particular attention is given to the concept of Edge AI, which involves data processing and decision-making at the network edge. The shift from cloud-based solutions to Edge AI promises reduced latency, enhanced reliability, and personalized device operation. The article showcases the experience of Swedish developers who successfully transferred a digital twin of Gothenburg city into the virtual world using NVIDIA Omniverse technology. Furthermore, the article reviews projects presented at the conference, dedicated to the development of autonomous public transport, the creation and training of household and industrial robots, and solutions for smart cities. Additionally, it analyzes successful collaborations between European startups and NVIDIA in the field of robotics. Notably, it examines the developments of Fraunhofer IML, Enchanted Tools, and ANYbotics, demonstrating the practical application of AIoT in solving real-world problems across various industrial sectors. The article concludes by emphasizing the growing demand for AI solutions across diverse industries, reflecting their recognized practical value. It underscores the importance of collaboration between developers, researchers, and technology companies to create solutions tailored to specific needs. Finally, it highlights the relevance of legal regulations for AI, which can foster trust in this technology and ensure the development of more reliable and secure AI systems.