The Future of AI Hardware: Achieving 1000x Efficiency by 2035 скачать в хорошем качестве

The Future of AI Hardware: Achieving 1000x Efficiency by 2035

Are we hitting a wall in AI scaling? The future of Artificial Intelligence isn't just about bigger models; it's about smarter, more efficient hardware. In this video, we dive into the "AI+HW 2035: Shaping the Next Decade" vision paper, exploring a comprehensive 10-year roadmap for the co-evolution of AI algorithms and hardware. Discover how researchers plan to achieve a massive 1000x improvement in AI training and inference efficiency. We discuss the fundamental shift from compute-centric to memory-centric architectures and why maximizing "intelligence per joule" is the new gold standard for sustainable computing. 📌 Key Topics Covered: The Memory Wall & AI's Impending Power Crisis: Why traditional scaling is no longer sustainable. Breakthrough Hardware Technologies: 3D integration, Compute-in-Memory (CIM), and Photonic interconnects. Algorithmic Innovations: The rise of Small Language Models (SLMs) and physical AI for real-world interaction. A Unified Ecosystem: The critical need for collaboration across academia, industry, and government to build reliable and trustworthy systems. Join us as we explore how these innovations will shape the next decade of sustainable, equitable, and highly capable AI systems! Source: Chen, D., Cong, J., Mirhoseini, A., Kozyrakis, C., Mitra, S., Xiong, J., Young, C., Anandkumar, A., Littman, M., Kirschen, A., Shao, S., Leef, S., Shanbhag, N., Milojicic, D., Schulte, M., Cauwenberghs, G., Chow, J. M., Dao, T., Gopalakrishnan, K., Ho, R., Kim, H., Olukotun, K., Pan, D. Z., Ren, M., Roth, D., Singh, A., Sun, Y., Wang, Y., LeCun, Y., & Puri, R. AI+HW 2035: Shaping the Next Decade. https://arxiv.org/abs/2603.05225