Edge AI networks: Challenges and opportunities | ITU Journal | Webinars скачать в хорошем качестве

Edge AI networks: Challenges and opportunities | ITU Journal | Webinars

In this webinar, we discuss the challenges and opportunities offered by edge AI networks. Fueled by the availability of more data and computing power, recent breakthroughs in cloud-based machine learning (ML) have transformed every aspect of our lives from face recognition and medical diagnosis to natural language processing. However, classical ML exerts severe demands in terms of energy, memory, and computing resources, limiting their adoption for resource-constrained edge devices. The new breed of intelligent devices and high-stake applications (drones, augmented/virtual reality, autonomous systems, etc.), requires a novel paradigm change calling for distributed, low-latency, and reliable ML at the wireless network edge (referred to as edge ML). Speakers 🎙 Mérouane Debbah, Chief Researcher, AI and Telecommunication Systems, Technology Innovation Institute (TII) Moderators 🎙 Ian F. Akyildiz, Editor-in-Chief, ITU Journal on Future and Evolving Technologies (ITU-J FET) Alessia Magliarditi, ITU Journal and ITU-T Academia Coordinator, International Telecommunication Union (ITU) This Webinar is organized by the ITU Journal on Future and Evolving Technologies (ITU J-FET) an international journal providing complete coverage of all communications and networking paradigms, free of charge for both readers and authors. The ITU Journal considers yet-to-be-published papers addressing fundamental and applied research. Open topics for future research will be discussed. ITU Journal on Future and Evolving Technologies (ITU J-FET) https://aiforgood.itu.int/event/edge-... ITU Journal webinar series https://www.itu.int/en/journal/j-fet/... Shownotes ⏱ 00:00 Intro 09:36 Webinar intro 26:01 The rise of AI 26:34 AI in a nutshell 36:30 New paradigms for data 40:28 AI networks 44:11 AI in wireless 44:58 AI in Network Vision 48:25 Mobile AI 52:30 New paradigms for Computing 53:29 New paradigms for Networks 54:14 Distributed edge networks 56:54 Q&A 1:30:48 Outro Join the Neural Network! 👉https://aiforgood.itu.int/neural-netw... The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos!    / aiforgood   Explore more #AIforGood content: 1️⃣ AI for Good Top Hits    • Top Hits   2️⃣ AI for Good Webinars    • AI for Good Webinars   3️⃣ AI for Good Keynotes    • AI for Good Keynotes   📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good... 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter:   / itu_aiforgood   LinkedIn Page:   / 26511907   LinkedIn Group:   / 8567748   Instagram:   / aiforgood   Facebook:   / aiforgood   What is AI for Good? The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU. #EdgeAINetworks #ITU