{"id":14,"date":"2020-04-12T20:10:54","date_gmt":"2020-04-12T20:10:54","guid":{"rendered":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/?page_id=14"},"modified":"2020-07-19T21:23:11","modified_gmt":"2020-07-19T21:23:11","slug":"program","status":"publish","type":"page","link":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\r\n

Workshop date: Sunday, Jul 19, 2020<\/strong><\/p>\r\n

Time: 9:00am – 2:40pm PDT<\/a> | 12:00pm – 5:40pm EDT<\/a><\/strong><\/p>\r\n

The workshop is free. Please register here<\/a>.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
EDT<\/strong><\/span><\/a><\/td>\r\nSpeaker and title<\/strong><\/span><\/td>\r\n<\/tr>\r\n
Session 1<\/strong> – Algorithms and Neuroscientific Abstractions: What do spiking networks offer to approach brain-like capabilities?<\/em><\/span><\/td>\r\n<\/tr>\r\n
12:00-12:15pm<\/span><\/td>\r\nProf. Kaushik Roy<\/a>, Purdue University. Title: Re-engineering computing with spike based learning: Algorithms to Devices. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
12:20-12:35pm<\/span><\/td>\r\nProf. Yiran Chen<\/a>, Duke University. Title: Spiking Neuromorphic System Design Through Abstraction: Circuit and Algorithm Techniques in Brain-inspired Computing. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
12:40-12:55pm<\/span><\/td>\r\nProf. Priya Panda<\/a>, Yale University. Title: Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
01:00-01:20pm<\/span><\/td>\r\nDiscussion and break<\/span><\/td>\r\n<\/tr>\r\n
Session 2<\/strong> – Architectures and Systems: Where are we and what are we missing<\/em><\/span><\/td>\r\n<\/tr>\r\n
01:20-01:35pm<\/span><\/td>\r\nProf. Rajit Manohar<\/a>, Yale University. Title: Self-Timed Neuromorphic Systems. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
01:40-01:55pm<\/span><\/td>\r\nProf. Jae-sun Seo<\/a>, Arizona State University. Title: Fully Spike-based Architecture with Front-end Dynamic Vision Sensor and Back-end Spiking Neural Network. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
02:00-02:15pm<\/span><\/td>\r\nProf. Yu Cao<\/a>, Arizona State University. Title: Continual learning at the edge: Neural inspiration, model robustness and hardware efficiency. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
02:20-02:35pm<\/span><\/td>\r\nProf. Gert Cauwenberghs<\/a>, UC San Diego. Title: Towards Efficient Neuromorphic Learning and Inference at Scale. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
02:40-03:00pm<\/span><\/td>\r\nDiscussion and break<\/span><\/td>\r\n<\/tr>\r\n
Session 3<\/strong> – Devices, Circuits, and Physical Substrates: How can we harness emerging devices and their characteristics for extreme efficiency?<\/em><\/span><\/td>\r\n<\/tr>\r\n
03:00-03:15pm<\/span><\/td>\r\nProf. Abhronil Sengupta<\/a>, Pennsylvania State University. Title: Spintronics Enabled Neuromorphic Computing: Hardware-Algorithm Co-Design. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
03:20-03:35pm<\/span><\/td>\r\nProf. Emre Neftci<\/a>, UC Irvine. Title: Data and Power Efficient Intelligence with Neuromorphic Hardware. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
03:40-03:55pm<\/span><\/td>\r\nProf. Joshua Yang<\/a>, University of Southern California. Title: Resistive and capacitive crossbar arrays for neuromorphic computing. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
04:00-04:20pm<\/span><\/td>\r\nDiscussion and break<\/span><\/td>\r\n<\/tr>\r\n
Session 4<\/strong> – Industry and Applications Perspective: What is needed for ubiquitous intelligence?<\/em><\/span><\/td>\r\n<\/tr>\r\n
04:20-04:35pm<\/span><\/td>\r\nDr. John Paul Strachan<\/a>, HP Labs. Title: Pushing the benefits of neuromorphic computing toward broad applications and broad adoption. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
04:40-04:55pm<\/span><\/td>\r\nDr. Hsinyu Tsai<\/a>, IBM. Title: Analog Memory-based techniques for Accelerating Deep Neural Networks. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
05:00-05:15pm<\/span><\/td>\r\nDr. Narayan Srinivasa<\/a>, Intel. Title: Towards Learning Systems that Understand<\/span>. Abstract<\/a>.<\/span><\/td>\r\n<\/tr>\r\n
05:20-05:40pm<\/span><\/td>\r\nDiscussion<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n\r\n

 <\/p>\r\n","protected":false},"excerpt":{"rendered":"

Workshop date: Sunday, Jul 19, 2020 Time: 9:00am – 2:40pm PDT | 12:00pm – 5:40pm EDT The workshop is free. Please register here. EDT Speaker and title Session 1 – Algorithms and Neuroscientific Abstractions: What do spiking networks offer to approach brain-like capabilities? 12:00-12:15pm Prof. Kaushik Roy, Purdue University. Title: Re-engineering computing with spike based […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":7,"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":142,"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/pages\/14\/revisions\/142"}],"wp:attachment":[{"href":"https:\/\/teuscher-lab.com\/dac2020_neuromorphic_workshop\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}