Brief description: A wide ranging full day, focusing on how technology and circuit designers engage in and drive the future of AI/ML systems.
Emerging and future applications for ML systems, driving circuits and devices researchAbstract: Machine learning has emerged and continues to evolve as an extremely rich and impactful driver of integrated systems. Given the rapid progression both in algorithmic complexity and application platforms, all signs are that technology and circuit designers will play a critical role in maximizing the impact today and in the future that machine-learning systems can have. To become proactive drivers of the advances that will be made in this area, these communities must understand the complex and dynamic landscape of machine-learning algorithms, their uses, and the technological trends driving their progression. This session aims to provide this background, as well as the preparation needed to engage in the future of machine-learning systems.
|8:50a||What different forms of machine learning exist, both within and beyond neural networks, and what are the different problems they solve. (at what tasks does ML struggle today?)||Vivienne Sze (MIT)|
|8:50a ||How do we evaluate ML, in terms of the different metrics and their tradeoffs||David Brooks (Harvard)|
|9:30a||Joint Q&A Speakers 1&2|
|10:10a||How do people use ML learning today, in terms of tools and SW packages (what issues are faced in terms of public safety and liability)||Marc Duranton (CEA-LETI)|
|10:45a||Unconventional & mixed-signal circuit architectures for ML||Boris Murmann (Stanford)|
|11:20a||Joint Q&A Speakers 3&4|
|12:10p||Lunch panel: How VLSI circuit and technology experts will drive the machine-learning revolution.||B. de Salvo (CEA-LETI, J. Duguchi (Toshiba), N. Shanbhag (UIUC)|
|1:40p||ML circuits for memory-centric computing||Naresh Shanbhag (UIUC)|
|2:15p||ML technologies for memory-centric computing||Elisa Vianello (CEA-LETI)|
|2:50p||Joint Q&A Speakers 5&6|
|3:30p ||Emerging applications: humanoid robotics||Tetsuya Ogata (Waseda Univ )|
|4:05p||Emerging applications: ML in the IoT||Daisuke Okanohara (Preferred Net.)|
|4:40p||Joint Q&A Speakers 7&8|