C-BRIC - Events and Talks

Task 001/002: Neuro-Inspired Algorithms for Efficient and Lifelong Learning/Theoretical Underpinnings of Neuro-inspired Computing

Shixian Wen, University of Southern California
"Beneficial Perturbation Network for designing general adaptive artificial intelligence systems"
Jan 30

Task 001/002: Neuro-Inspired Algorithms for Efficient and Lifelong Learning/Theoretical Underpinnings of Neuro-inspired Computing

Joel Dapello, Massachusetts Institute of Technology
On the Geometry and Orientation of Object Manifolds in Deep Nets and the Brain
Feb 6

Task 003: Algorithms for Emerging Hardware
Mohammad Taha, Portland State University
TBD
Feb 13

Task 004: Neural Primitives
Mustafa Ali, Purdue University
TBD
Feb 20

Task 005: FPGA-based DNN Training Accelerator Design
Shreyas Venkataramanaiah, Arizona State University
TBD
Feb 27

Task 006: Programming and Evaluation Framework
TBD
Mar 5

Task 007: Distributed Learning and Inference/Exploiting Structure in Machine Learning to Create End-To-End Statistical-computing Platforms
TBD
Mar 12

Spring Break - Purdue - No talk this week
There will be no talk on 3/19/2020 during Spring Break for Purdue
Mar 19

Task 008: Cognition on Compressed and Unreliable Data
TBD
Mar 26

Task 009: Multi-modal distributed learning
TBD
Apr 2

Task 010/011: Self-flying Droves/Personalized Robots
TBD
Apr 9

Task 001/002: Neuro-inspired Algorithms for Efficient and Lifelong Learning/Theoretical Underpinnings of Neuro-inspired Computing
TBD
Apr 16

Task 001/002: Neuro-inspired Algorithms for Efficient and Lifelong Learning/Theoretical Underpinnings of Neuro-inspired Computing
TBD
Apr 23

Task 003: Algorithms for Emerging Hardware/Emerging Algorithms and Computing Models for Cognition and Control on post-CMOS Hardware Platforms
TBD
Apr 30

Events and Upcoming Talks

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