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Unlock the future of TinyML by learning how to harness the power of large language models, as we sit down with Roberto Morabito to dissect this intriguing technological convergence. Discover how the collaborative efforts with Eurocom and the University of Helsinki are shaping a groundbreaking framework designed to elevate TinyML's lifecycle management. We promise to unravel the complexities and opportunities that stem from integrating these technologies, focusing on the essential role of prompt templates and the dynamic challenges posed by hardware constraints. Through a proof-of-concept demonstration, we bring you invaluable insights into resource consumption, potential bottlenecks, and the exciting prospect of automating lifecycle stages.

Our conversation ventures into optimizing language models for end devices, delving into the transformative potential of Arduinos and single-board computers in enhancing efficiency and slashing costs. Roberto shares his expertise on the nuances of model conversion across varying hardware capabilities, revealing the impact this has on success rates. The episode crescendos with a compelling discussion on automating industrial time series forecasting, underscoring the critical need for adaptive solutions to maintain accuracy and efficiency. Through Roberto's expert insights, listeners are invited to explore the forefront of technology that is poised to revolutionize industrial applications.

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Unlock the transformative potential of edge computing with the insights of industry experts Dave McCarthy from IDC and Pete Bernard. Ever wondered how advanced transformer models are catalyzing technological leaps at the edge? This episode promises to enlighten you on the nuances of AI-ready infrastructure, pushing the boundaries of autonomous operations in multi-cloud and multi-edge environments. With an emphasis on trust, security, and sustainability, our guests illuminate the strategic importance of optimizing edge designs and the benefits of hybrid and multi-cloud strategies.

Explore the dynamic world of Edge AI as we dissect the complexities of heavy and light edge scenarios, particularly within industrial contexts. Dave and Pete help navigate the shift from centralized systems to the cutting-edge distributed frameworks necessary for processing the explosion of data generated outside traditional data centers. Discover how Edge AI and TinyML are reshaping industries by empowering smarter devices and solutions, pushing AI workloads from the cloud to resource-constrained environments for improved efficiency and real-time data processing.

Dive into the fascinating migration of AI workloads from the cloud to the edge, driven by the demands of smart cities and critical infrastructure. Our experts share insights from global surveys, examining how inference is increasingly shifting to the edge, while training remains cloud-based. Listen in as we explore the evolving edge AI hardware landscape, cost-effective solutions, and the burgeoning interest in specialized models. Uncover emerging generative AI use cases poised to revolutionize various sectors, and gain a glimpse into the future opportunities and challenges in the ever-evolving landscape of edge AI. Join us for a riveting discussion that promises to leave you informed and inspired.

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Generative AI is poised to transform the edge, but what does this mean for technology, innovation, and everyday life? Join us for an enlightening discussion led by Danilo Pau, featuring a distinguished panel of experts including Dave, Roberto Chen, Alok, Seung-Yang, Arniban, and Alberto. They promise to unravel the mysteries beyond large language models and chatbots, offering fresh insights into the interplay of algorithms, software, chips, and methodologies from an EDA perspective. The conversation aims to democratize generative AI, making its groundbreaking potential accessible to all, and sparking inspiration throughout the tiny ML community.

With gratitude to the TinyML Foundation for their invaluable support, this episode builds on the momentum of previous forums. Reflecting on the foundation laid by Davis Sawyer's inspiring March session, we explore how generative AI is not just a cloud-based innovation but a technology set to revolutionize the edge. Expect to hear how these developments could impact everyone's work and life, and gain a glimpse into the collective vision for the future from our esteemed speakers. Don’t miss the chance to be part of this vibrant exchange, where innovation is not just discussed but propelled forward.

Learn more about the tinyML Foundation - tinyml.org