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Mit Eems Group Pi Vivienne Sze · Sentinel

Mit Eems Group Pi Vivienne Sze

Mit Eems Group Pi Vivienne Sze

@miteemsviviennesze•1.5K subscribers•41 videos

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About Mit Eems Group Pi Vivienne Sze

EEMS-News -- EEMS @ MIT About EEMS-News English (USA) News and updates from the Energy-Efficient Multimedia Systems Group @ MIT (http://sze.mit.edu/) To see the collection of prior postings to the list, visit the EEMS-News Archives . ( The current archive is only available to the list members.

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41

Videos

1.5K

Subscribers

78.2K

Total Views

Jan 29, 2018

Joined YouTube

MIT EEMS Group - PI: Vivienne Sze Episode Catalog

Explore every episode. Find what matters.

CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool

399100

WiDS 2025 - Keynote Vivienne Sze

23280

ISCA'24 - Plenary Session - Keynote by Vivienne Sze

1.8K310

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model

1.1K353

Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Occupancy @ MICRO 2023

562100

HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity @MICRO 2023

47261

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

24600

Systematic Modeling and Design of Sparse Tensor Accelerators [Nellie Wu]

1.3K261

RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM @ ISCA 2023

46710

SPRING 2023 GRASP on Robotics: Vivienne Sze, MIT, “Efficient Computing for Autonomy and Navigation”

66900

Data centers on wheels: the carbon footprint of self-driving cars | Soumya Sudhakar | TEDxBoston

1.6K243

Memory-Efficient Gaussian Fitting for Depth Images in Real Time

19840

Uncertainty from Motion for DNN Monocular Depth Estimation

18310

Data Centers on Wheels: Emissions from Computing Onboard Autonomous Vehicles

32020

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

68560

UofT Robotics Institute Seminar: Vivienne Sze

677180

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (5/7)

758101

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (3/7)

1.3K150

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (5/6)

38741

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (2/6)

66960

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (4/7)

73560

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (2/7)

1K100

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (3/6)

44230

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (7/7)

63870

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (4/6)

54030

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (6/7)

52130

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (1/6)

65281

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (1/7)

2K190

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (6/6)

50140

Efficient Computing for Low Energy Robotics

358111

Vivienne Sze (MIT): Efficient Computing for AI & Robotics: Hardware Accelerators to Algorithm Design

2.2K320

Efficient Computing for AI and Robotics

32750

Reducing the Carbon Emissions of ML Computing - Challenges and Opportunities

949190

How to Evaluate Efficient Deep Neural Network Approaches

5.7K1031

How to evaluate Deep Neural Network Accelerators

6.6K841

tinyML Talks joint webinar with IEEE: The Intersection of SSCS and AI -- A Tale of Two Journeys

1.5K240

Balancing Actuation and Computing Energy in Motion Planning @ ICRA 2020

40880

An Efficient and Continuous Approach to Information-Theoretic Exploration @ ICRA 2020

46980

Timeloop/Accelergy Tutorial (Hands-on Session) @ ISCA 2020

2.4K251

Timeloop/Accelergy Tutorial @ ISCA 2020

3.6K631

Vivienne Sze (MIT) - Efficient Computing for AI and Robotics

60940

Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series

58.8K1.5K45

Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures #NeurIPS2019

6.7K1202

SIGARCH Visioning Workshop: Agile and Open Hardware for Next Generation Computing -- Vivienne Sze

60360

Energy-Efficient AI | Vivienne Sze | TEDxMIT

4.3K974

Efficient Computing for AI and Robotics

1.4K260

Efficient Computing for Robotics and AI

73790

Efficient Computing for Autonomous Navigation of Miniaturized Robots

3.9K1063

FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping @ ICRA 2019

49450

Energy-Efficient AI

2.5K441

Efficient Computing for Autonomous Navigation w/ Algorithm-and-Hardware Co-design [Zhengdong Zhang]

690130

FastDepth: Fast Monocular Depth Estimation on Embedded Systems @ ICRA 2019

8.3K532

Energy-Efficient Deep Learning: Challenges and Opportunities

14.4K1754

Navion: An Energy-Efficient Visual-Inertial Odometry Accelerator for Micro Robotics

3.2K811

Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators [Yu-Hsin Chen]

15.9K3044

Energy-Efficient Accelerators for Autonomous Navigation for Miniaturized Robots [Amr Suleiman]

670120

Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)

59820

Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)

62431

"Approaches for Energy Efficient Implementation of Deep Neural Networks," a Presentation from MIT

33471

Prof. Vivienne Sze (MIT) - Keynote Talk [Information Processing in Silicon - 2018 CSLSC@UIUC]

1.2K140

Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

69840

SysML 18: Vivienne Sze, Limitations of Energy-Efficient Design Approaches for Deep Neural Networks

3.1K361

FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos (CVPRW 2017)

22200

Eyeriss: Deep Neural Network Accelerator (Caffe Demo - ISSCC 2016)

1.5K82

Navion: Visual-Inertial Odometry on Chip (RSS 2017)

3.4K61

Sept 2017 Webinar MASTER

64641

Vivienne Sze - 2017 Vienna

43810

September 2016 Embedded Vision Alliance Member Meeting Presentation: MIT

98340

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