PPT-Large-Scale, Biologically Detailed Neuromorphic Networks: Taming the Beast

Cognitive Anteater Robotics Lab CARL Department of Cognitive Sciences Kristofor D Carlson Michael Beyeler Ting Shuo Chou Nikil Dutt Jeffrey L Krichmar Overview Spiking Neural Networks SNNs. Corrado Rajat Monga Kai Chen Matthieu Devin Quoc V Le Mark Z Mao MarcAurelio Ranzato Andrew Senior Paul Tucker Ke Yang Andrew Y Ng jeff gcorrado googlecom Google Inc Mountain View CA Abstract Recent work in unsupervised feature learning By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . Yitao. Chen. 1. , . Jinbei. Zhang. 1. , . Xinbing. Wang. 1. , . Xiaohua. Tian. 1. , . Weijie. . Wu. 1. , . Fan Fu. 2. , Chee Wei Tan. 3. 1 . Dept. of Electronic Engineering, Shanghai Jiao Tong University. Kuan-Chuan. Peng. Tsuhan. Chen. 1. Introduction. Breakthrough progress in object classification.. 2. O. . Russakovsky. . et al. . ImageNet. . large scale visual recognition challenge. .. . arXiv:1409.0575, 2014.. Hope I can learn and help (shake things up. ). The problem of . Fractal Wrongness. Fractal wrongness. Emergence. Risk. Fractal wrongness. Much (most?) of what many (most?) believe is . obviously. false.. By Dr. Jenifer Nadeau. Dept. of Animal Science. College of Agriculture and Natural Resources, UConn. Lecture Objectives. Describe the horse’s initial contact with humans. Explain when, how, and where the horse was used for driving and riding. 600.466. Social Media?. Properties of Social Media : Scale. Twitter (Chirp 2010). More than 100M user accounts. more than 600M search queries a day. 55M tweets a day. Facebook. More than 400M active users. Modern Algorithms. Modern global placement algorithms:. Can handle extremely large netlists. Use analytic techniques. 2. 3. Two . families: . Modern Algorithms. Quadratic . placers. Non-convex . optimization placers . Carson . Janes. List. . Sasquatch . Ahool. . Altamaha-ha . Okapi. Champ. Beast . of Bray . Road . Chupacabra. . Jersey Devil . Mermaids. Jackalope. . Ogopogo . unicorn . Yeti . Beast . of . Gevaudan. the Tongue. Taming the Tongue. . Who is the man who desires life, and loves many days, that he may see good? Keep your tongue from evil, and your lips from speaking deceit. . Psalm 34:12-13. Adapted from Chapter 1. Of. Lei Tang and . Huan. Liu’s Book. 1. Chapter 1, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Social Media: . Chapter 1. 1. Chapter. 1, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Traditional Media. Broadcast Media: One-to-Many. Communication Media: One-to-One. Networks. Emil . Björnson. ‡*. Joint work with. : Jakob Hoydis. †. , . Marios . Kountouris. ‡. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio and Department of Telecommunications, . Networks. Emil . Björnson. ‡*. Joint work with. : Jakob Hoydis. †. , . Marios . Kountouris. ‡. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio and Department of Telecommunications, .