1:20:41

[REFAI Seminar 11/28/23] Probabilistic Computing with p-bits: Optimization, ML & Quantum Simulation

1:05:21

[REFAI Seminar 04/20/23] Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

1:00:35

[REFAI Seminar 03/19/24] Parameter Efficient LLM Inference with LoRAX

57:03

[REFAI Seminar 10/03/24] Sparse Linear Algebra Acceleration on High Bandwidth Memory FPGAs

1:01:09

Programmable Photonic Integrated Circuits for Quantum Information Processing and Machine Learning

1:06:53

[REFAI Seminar 03/30/23] Efficient Trillion Parameter Scale Training and Inference with DeepSpeed

35:22

Michał Matuszewski "Optical neural networks"

1:32:41

[REFAI Seminar 11/07/24 ] A Systematic & Rapid Approach to Design Space Exploration for Tensor Accel