Rutgers Efficient AI Seminar

1:32:41

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

Ай бұрын

1:03:38

[REFAI Seminar 10/31/24 ] ML Workloads in AR/VR and Their Implication to the ML System Design

Ай бұрын

57:34

[REFAI Seminar 10/24/24 ] The Role of AI in Physical Design

2 ай бұрын

57:03

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

2 ай бұрын

58:12

[REFAI Seminar 04/16/24] ML for ML Compilers at Google

8 ай бұрын

1:10:14

[REFAI Seminar 03/26/24] Enable Edge Intelligence via Scalable and Efficient Federated Learning

8 ай бұрын

1:00:35

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

9 ай бұрын

1:05:50

[REFAI Seminar 02/20/24] A Computer Engneering Journey to Optical NN: Infra., Algo., and Co-design

10 ай бұрын

1:14:59

[REFAI Seminar 02/13/24] Demystify Efficient & Accountable Large Languge Model from SMoE Perspective

10 ай бұрын

1:20:41

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

Жыл бұрын

1:08:32

[REFAI Seminar 12/05/23] Light-AI Interaction: Bridging Photonics and Artificial Intelligence

Жыл бұрын

1:10:10

[REFAI Seminar 11/14/23] Designing Physics-Inspired Computational Platforms to Solve Hard Combinator

Жыл бұрын

1:11:27

[REFAI Seminar 11/07/23] Hardware-aware Algorithms for Language Modeling

Жыл бұрын

1:14:50

[REFAI Seminar 10/31/23] Boosting Performance and Scalability of Distributed Deep Learning

Жыл бұрын

1:16:06

[REFAI Seminar 10/24/23] Ultra Low-Power Machine Learning via Hardware and Software Co-design

Жыл бұрын

1:18:10

[REFAI Seminar 10/03/23] Analytics and Machine Learning Systems on Graphs

Жыл бұрын

1:18:22

[REFAI Seminar 10/03/23] A New Paradigm of Efficiency, Security and Privacy by Design for Intellient

Жыл бұрын

1:05:21

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

Жыл бұрын

1:06:53

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

Жыл бұрын

1:16:15

[REFAI Seminar 03/23/23] High-Performance Spectral Methods for Scalable Graph Learning

Жыл бұрын

1:05:05

[REFAI Seminar 03/02/23] Efficient Neural Networks and the Practical Mobile Applications

Жыл бұрын

1:20:10

[REFAI Seminar 02/23/23] Neural Architecture Search for Scientific ML with Quantified Uncertainty

Жыл бұрын

1:11:51

[REFAI Seminar 02/16/23] Testing Accuracy is Not All You Need: Less Training Cost & More Reliability

Жыл бұрын

59:45

[REFAI Seminar 02/02/23] Fully-Homomorphic-Encryption-based Privacy-Preserving Machine Learning

Жыл бұрын

1:15:53

[REFAI Seminar 12/01/22] Fast and Hardware-Aware Neural Architecture Search

2 жыл бұрын

48:35

[REFAI Seminar 11/10/22] Towards a Benchmark for Automotive Computing

2 жыл бұрын

49:59

[REFAI Seminar 10/24/22] Towards Functional Safety of Deep Learning Hardware Accelerators

2 жыл бұрын

1:04:28

[REFAI Seminar 10/20/22] Low latency, Efficient Speech Recognition for the Edge

2 жыл бұрын

1:02:07

[REFAI Seminar 10/06/22] Visual Computing: A Horizontal Approach

2 жыл бұрын

Пікірлер

@QuentinSenaida 6 күн бұрын

Great analysis, thank you! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?

@EsmailAtta 12 күн бұрын

Could you please provide the ppt file

@qasimsefaldeen 4 ай бұрын

the first resource :do we actually need dense over parameterization. it is no more exist??

@EditDeTube 6 ай бұрын

Hello there I've been watching your videos and wanted to suggest something that might help your channel grow. Have you tried analyzing your analytics regularly? It could provide valuable insights into viewer behavior and content performance. Keep going strong

@kk-cl4vr 8 ай бұрын

I like your post,

@convezchen7863 Жыл бұрын

Thank you for sharing this lecture. It is inspiring and bird-sighted.

@cyanrazorCel Жыл бұрын

The feds are gonna get MutiLated!

@yanggao2408 Жыл бұрын

0:00 Welcome 1:00 introduction 8:44 outline 9:20 CryptoNets 13:48 SHE 19:22 LoLa 23:05 Falcon 25:27 EVA 29:37 HEMET 31:20 3 Algorithms' perf comparison 32:15 MATCHA 40:55 QA1 45:06 QA2 47:28 QA3 48:46 QA4 51:37 QA5 54:20 QA6 55:53 QA7

@bahrozmuhamad9282 2 жыл бұрын

س ص @شئ ئشششئش شبيبة

@liltesla710 2 жыл бұрын

Thank you very much for the great content.

@王铈弘 2 жыл бұрын

Thank you, Dr. Li. It's a very dedicated and clear report~👏

@siyuanxiang1636 2 жыл бұрын

great!

Ең жақсы KZbin

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