Raskar TED global 2012: Femto Photography

•

2 likes•2,075 views

Camera Culture Group, MIT Media Lab

Ramesh Raskar is an associate professor at the MIT Media Lab who is working on femto-photography, which involves capturing light and motion at extremely high speeds of trillion frames per second. Some applications of this technology include seeing around corners by analyzing light that bounces off surfaces, using computational photography techniques to avoid collisions, and developing new medical imaging techniques. Raskar's work aims to advance computational photography and capture light and motion at speeds much faster than conventional cameras.

Technology Art & Photos Business

Raskar, Camera Culture, MIT Media Lab

Femto-Photography

Ramesh Raskar
Associate Professor
MIT Media Lab
http://raskar.info

1964

Trillion Frames per Second

Femto-Photography

Light in Motion

Milli
Micro
Nano
Pico
Femto
Atto

Bullet of Light
1,000,000 x Faster

Milli
Micro
Nano
Pico
Femto
Atto

Light in Slow Motion ..

10 Billion x Slow

Trillion frames per second

Painting a Photo In Time

Ripe ?

Andreas Velten, Di Wu, Christopher Barsi, Everett Lawson

Raw Data

Can you see
around corners ?

2nd Bounce

1st Bounce

3rd Bounce

Hidden
Femto-Camera Mannequin

Wall

Door

Velten et al, Nature Communications 2012

Avoiding Collisions

Andreas Velten, Thomas Willwacher, Otkrist Gupta, Ashok Veeraraghavan,
Moungi Bawendi, Ramesh Raskar, Nature Communications 2012

…, rescue operations, …

Rohit Pandharkar, Velten, Bardagjy, Lawson, Bawendi, Raskar, CVPR 2011

…, colonoscopies, …

…, cardioscopies, …

1964

Computational Photography

Ripples of Waves

Time Distortion ~ Speed of Light

FemtoPhotography.info

Raskar, Camera Culture, MIT Media Lab

gfh

More Related Content

Similar to Raskar TED global 2012: Femto Photography

The Invisible Technology, Will Nanotechnology Transcend Biology

The Invisible Technology, Will Nanotechnology Transcend Biology

The Invisible Technology, Will Nanotechnology Transcend Biology

Femto-photography

Femto-photography

Femto-photography

video_tutorial_-_biomometics.pptx

video_tutorial_-_biomometics.pptx

video_tutorial_-_biomometics.pptx

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Diane Kaila Cruz

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Diane Kaila Cruz

Nanotechnology Applied To Life Sciences

Nanotechnology Applied To Life Sciences

Nanotechnology Applied To Life Sciences

Gaurav Singh Chandel

nanotechnology-and-its-applications-in-crop-improvement

nanotechnology-and-its-applications-in-crop-improvement

nanotechnology-and-its-applications-in-crop-improvement

Kantinath Banerjee

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

Camera Culture Group, MIT Media Lab

5th Dimensional Camera

5th Dimensional Camera

5th Dimensional Camera

The Future of the Internet Enabling New Science

The Future of the Internet Enabling New Science

The Future of the Internet Enabling New Science

Introduction to Nanoscience and Tech.pdf

Introduction to Nanoscience and Tech.pdf

Introduction to Nanoscience and Tech.pdf

Nanotech

LSC-CyFair Library, LIFE Workshops

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

Nanotechnology

Thilina Wijewardana

Nanotechnology And Its Application

Nanotechnology And Its Application

Nanotechnology And Its Application

Mahmoud Abu-Omer

Mike Amundsen's, Director API Architecture at CA Technologies, Keynote from API Strategy and Practice Conference 2014 Here's a link to the full text of Mike's talk: http://g.mamund.com/apistrat2014-talk APIs as both an ecosystem and an economy are at a crossroads. The last few years have shown continued growth in both providers and consumers and, it’s easy to see Moore’s Law in effect in the API Ecosystem. However, to sustain this level of exponential growth, this level of scaling in the ecosystem, we need to come up with ways to also scale the API Economy. All indications are demand will continue to grow. But hardly a day goes by when we don’t see evidence that the API economy the ‘engine of execution’ is buckling under the strain. This is the logical outcome of a system over-taxed, under-powered, and inadequate to the task. Demand is outstripping supply and the system can’t keep up. The way to solve this problem is to start thinking in new ways and this talk is an attempt to get us to do that; to kick-start the creative process.

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

CA API Management

Similar to Raskar TED global 2012: Femto Photography (17)

The Invisible Technology, Will Nanotechnology Transcend Biology

The Invisible Technology, Will Nanotechnology Transcend Biology

The Invisible Technology, Will Nanotechnology Transcend Biology

Femto-photography

Femto-photography

Femto-photography

video_tutorial_-_biomometics.pptx

video_tutorial_-_biomometics.pptx

video_tutorial_-_biomometics.pptx

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Ultrasonic Obstacle Avoidance and Auto Brake Car System

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology applied-to-life-sciences-1195305934876271-4

Nanotechnology Applied To Life Sciences

Nanotechnology Applied To Life Sciences

Nanotechnology Applied To Life Sciences

nanotechnology-and-its-applications-in-crop-improvement

nanotechnology-and-its-applications-in-crop-improvement

nanotechnology-and-its-applications-in-crop-improvement

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

5th Dimensional Camera

5th Dimensional Camera

5th Dimensional Camera

The Future of the Internet Enabling New Science

The Future of the Internet Enabling New Science

The Future of the Internet Enabling New Science

Introduction to Nanoscience and Tech.pdf

Introduction to Nanoscience and Tech.pdf

Introduction to Nanoscience and Tech.pdf

Nanotech

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)

Nanotechnology

Nanotechnology And Its Application

Nanotechnology And Its Application

Nanotechnology And Its Application

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

Self-Replication, Strandbeest, and the Game of Life What von Neumann, Jansen,...

More from Camera Culture Group, MIT Media Lab

Raskar Sig2017 Siggraph Achievement Award Talk

Raskar Sig2017 Siggraph Achievement Award Talk

Raskar Sig2017 Siggraph Achievement Award Talk

Camera Culture Group, MIT Media Lab

Lost Decade of Computational Photography

Lost Decade of Computational Photography

Lost Decade of Computational Photography

Camera Culture Group, MIT Media Lab

Covid Safe Paths

Covid Safe Paths

Covid Safe Paths

Camera Culture Group, MIT Media Lab

Video of the talk at https://www.youtube.com/watch?v=x9TCYuMUnco Friction in data sharing is a large challenge for large scale machine learning. Emerging technologies in domains such as biomedicine, health and finance benefit from distributed deep learning methods which can allow multiple entities to train a deep neural network without requiring data sharing or resource aggregation at one single place. The talk will explore the main challenges in data friction that make capture, analysis and deployment of ML. The challenges include siloed and unstructured data, privacy and regulation of data sharing and incentive models for data transparent ecosystems. The talk will compare distributed deep learning methods of federated learning and split learning. Our team at MIT has pioneered a range of approaches including automated machine learning (AutoML), privacy preserving machine learning (PrivateML) and intrinsic as well as extrinsic data valuation (Data Markets). One of the programs at MIT aims to create a standard for data transparent ecosystems that can simultaneously address the privacy and utility of data. Bio: Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) and Global Industry Technovator Award (2003). He has worked on special research projects at Google [X], Apple Privacy Team and Facebook and co-founded/advised several companies. Project page https://splitlearning.github.io/" Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on Machine Learning and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains. In his recent role at Facebook, he launched and led innovation teams in Digital Health, Health-tech, Satellite Imaging, TV and Bluetooth bandwidth for Connectivity, VR/AR and ‘Emerging Worlds’ initiative for FB. At MIT, his co-inventions include camera to see around corners, femto-photography, automated machine learning (auto-ML), private ML, low-cost eye care devices (Netra,Catra, EyeSelfie), a novel CAT-Scan machine, motion capture (Prakash), long distance barcodes (Bokode), 3D interaction displays (BiDi screen), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D).

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

Camera Culture Group, MIT Media Lab

Video: https://www.youtube.com/watch?v=2jq_5FaQbTg After different rejections, the project of a lifetime Ramesh Raskar (associate professor at MIT) finally comes to life. How did he manage to get his way out of this jungle of misleading signs and career traps? By becoming a pathfinder: always tense towards your goal but also critical and ready to adjust his strategy to reach it. An incredible life lesson that he gave us in this talk at the last FAIL at Massachusetts Institute of Technology (MIT). https://www.youtube.com/watch?v=2jq_5FaQbTg&feature=youtu.be&fbclid=IwAR3aAo7SIiCuHY_6ICTjXLOpNBUBwEEJUq72pD-V8N2nX2cWaVIxtPM1gBM Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and Imaging for health and sustainability. These interfaces span research in physical (e.g., sensors, health-tech), digital (e.g., automating machine learning) and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) and Global Indus Technovator Award (2003). He has worked on special research projects at Google [X] and Facebook and co-founded/advised several companies.

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Camera Culture Group, MIT Media Lab

http://raskar.info or CameraCulture Wiki Page How to come up w ideas: Idea Hexagon How to write a paper How to give a talk Open research problems How to decide merit of a project How to attend a conference, brainstorm Strive for Five Before 5 teams Be early, let others do details Beyond 5 years What no one is thinking about Within 5 steps of Human Impact Relevance Beyond 5 mins of instruction Deep, iterative, participatory Fusing 5+ Expertise Fun, barrier for others

Raskar PhD and MS Thesis Guidance

Raskar PhD and MS Thesis Guidance

Raskar PhD and MS Thesis Guidance

Camera Culture Group, MIT Media Lab

Associate Professor, MIT Media Lab Ramesh Raskar is founder of the Camera Culture research group at the Massachusetts Institute of Technology (MIT) Media Lab and associate professor of Media Arts and Sciences at MIT. Raskar is the co-inventor of radical imaging solutions including femto-photography, an ultra-fast imaging camera that can see around corners, low-cost eye-care solutions for the developing world and a camera that allows users to read pages of a book without opening the cover. He is a pioneer in the fields of imaging, computer vision and machine learning. Raskar’s focus is on building interfaces between social systems and cyber-physical systems. These interfaces span research in physical (e.g., sensors, health-tech), digital (e.g., tools to enable keeping data private in distributed machine learning applications) and global (e.g., geomaps, autonomous mobility) domains. Recent inventions by Raskar’s team include transient imaging to look around a corner, a next-generation CAT-scan machine, imperceptible markers for motion capture, long-distance barcodes, touch + hover 3D interaction displays and new theoretical models to augment light fields to represent wave phenomena. Raskar has dedicated his career to linking the best of the academic and entrepreneurial worlds with young engineers, igniting a passion for impact inventing. Raskar seeks to catalyze change on a massive scale by launching platforms that empower inventors to create solutions to improve lives globally. Raskar has received the Lemelson Award, ACM SIGGRAPH Achievement Award, DARPA Young Faculty Award, Alfred P. Sloan Research Fellowship, TR100 Award from MIT Technology Review and Global Indus Technovator Award. He has worked on special research projects at Google [X] and Facebook and co-founded and advised several companies. He holds more than 80 US patents. Making the Invisible Visible: Within Our Bodies, the World Around Us, and Beyond

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Camera Culture Group, MIT Media Lab

We need to transition from analysis to synthesis when it comes to large scale image based studies of satellite or street level images. Large scale, image based studies have the ability to unlock the human potential and really address some of the most important societal problems. The question really is, are we going to do that through analysis or are we going to step up to the game and actually start doing synthesis? Are we only go to study and observations or are we going to go and actually make an impact in the society? Can global image repositories help UN's sustainable development goals (SDGs)? help us understand the social determinants of health? Satellite imagery, Google street view and user contributed photos from a global image repository are being used for large scale image-based studies, visual census and sentiment analysis [Ermon][http://StreetScore.media.mit.edu]. But we need to go beyond simply relying on big data for investigating social questions via remote analysis. We need to transition from analysis to synthesis. For deployable social solutions, we need to consider the full stack of physical devices, organizational interests and sector-specific resources. Image-based large studies allow us to predict poverty from daytime and nighttime satellite imagery which can influence critical decisions for aid and development planning. In project ‘StreetScore’, our group has shown that semantic analysis of street level imagery such as Google Streetview, can provide varied insights rich in urban perception; our recent project ‘StreetChange’ shows the benefits of time-series data in driving these insights (http://streetchange.media.mit.edu). We have seen some amazing work and you'll hear from Stephano about poverty mapping my glove previous collaborators to a population density crop maps, Betaine. So we had been, that's been fantastic progress in, in using a global industry, uh, in, in these areas that are taken from satellites or drones and then a street level imagery is also very widely available, either very structured like Google street view, but also from a user contributor photos and to that Nikki like and others in my group have been working on can we do a sentiment analysis of, of this imagery in this case, sentiment analysis of the perceived safety just for Google Street and main street and then create kind of citywide maps of a perceived safety that can be used by city planners and urban planners. So, which is great. But coming back to analysis versus synthesis opportunities, I'm going to give you a flavor of one of the projects we worked on a which is street addresses.

Geo-spatial Research: Transition from Analysis to Synthesis

Geo-spatial Research: Transition from Analysis to Synthesis

Geo-spatial Research: Transition from Analysis to Synthesis

Camera Culture Group, MIT Media Lab

Project page: https://splitlearning.github.io/ Papers: https://arxiv.org/search/cs?searchtype=author&query=Raskar Video: https://www.youtube.com/watch?v=8GtJ1bWHZvg Split learning for health: Distributed deep learning without sharing raw patient data: https://arxiv.org/pdf/1812.00564.pdf Distributed learning of deep neural network over multiple agents https://www.sciencedirect.com/science/article/pii/S1084804518301590 Otkrist Gupta, Ramesh Raskar, In domains such as health care and finance, shortage of labeled data and computational resources is a critical issue while developing machine learning algorithms. To address the issue of labeled data scarcity in training and deployment of neural network-based systems, we propose a new technique to train deep neural networks over several data sources. Our method allows for deep neural networks to be trained using data from multiple entities in a distributed fashion. We evaluate our algorithm on existing datasets and show that it obtains performance which is similar to a regular neural network trained on a single machine. We further extend it to incorporate semi-supervised learning when training with few labeled samples, and analyze any security concerns that may arise. Our algorithm paves the way for distributed training of deep neural networks in data sensitive applications when raw data may not be shared directly.

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Camera Culture Group, MIT Media Lab

Unspoken Challenges in AR and XR

Unspoken Challenges in AR and XR

Unspoken Challenges in AR and XR

Camera Culture Group, MIT Media Lab

Raskar stanfordextremecompuimagingapr2016

Raskar stanfordextremecompuimagingapr2016

Raskar stanfordextremecompuimagingapr2016

Camera Culture Group, MIT Media Lab

What is SIGGRAPH NEXT? By Juliet Fiss What will be the next big thing at SIGGRAPH, and how can the SIGGRAPH community contribute in an impactful way to fields outside of traditional computer graphics? SIGGRAPH NEXT at SIGGRAPH 2015 explored these questions. In this new addition to the SIGGRAPH program, an eclectic set of speakers gave TED-style talks and posed grand challenges to the SIGGRAPH community. In this blog post, Professor Ramesh Raskar of the MIT Media Lab introduces SIGGRAPH NEXT and outlines his vision for it. What will be the next big thing at SIGGRAPH? The SIGGRAPH community has a set of hammers that it uses to solve problems: geometry processing, rendering, animation, and imaging. What will be the next hammer, the next major field of study, appear at SIGGRAPH? Let’s examine where our research ideas come from. Often, advances in machine learning, optimization, signal processing, and optics forge our hammers. Our selection of hammer also depends on the nails we see. The most common application areas of computer graphics currently include computer-aided design, movies, games, and photography. We often ask: “Does this work contribute to SIGGRAPH techniques?” We should also ask, “Does this work contribute SIGGRAPH techniques to _____?” When we answer the challenges posed by these traditional application areas of computer graphics, we are “drinking our own champagne.” We have made amazing progress in these application areas, and we should celebrate! SIGGRAPH NEXT is about finding new varieties of champagne; for that, we need new varieties of grapes. We should invite others from nontraditional and emerging application areas to enjoy our champagne with us, and they will become part of our community. First, we can expand our work in existing areas like mobile, user interaction, virtual reality, fabrication, and new types of cameras. We can also expand into emerging areas such as healthcare, energy, education, entrepreneurship, materials, tissue fabrication, and social media. What’s next? Professor Raskar highlights three top areas where we can make an impact. One big take-home message is that many of these applications involve biology: bio is the new digital, and it will affect us ubiquitously.

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

Camera Culture Group, MIT Media Lab

What is Media in MIT Media Lab, Why 'Camera Culture'

What is Media in MIT Media Lab, Why 'Camera Culture'

What is Media in MIT Media Lab, Why 'Camera Culture'

Camera Culture Group, MIT Media Lab

Ramesh Raskar MIT Media Lab Ramesh Raskar is an Associate Professor at MIT Media Lab. Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab’s Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging and human-computer interaction. Recent projects and inventions include transient imaging to look around a corner, a next generation CAT-Scan machine, imperceptible markers for motion capture (Prakash), long distance barcodes (Bokode), touch+hover 3D interaction displays (BiDi screen), low-cost eye care devices (Netra,Catra), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D). In 2004, Raskar received the TR100 Award from Technology Review, which recognizes top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. In 2009, he was awarded a Sloan Research Fellowship. In 2010, he received the Darpa Young Faculty award. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept and NIKE, 2010, Vodafone Wireless Innovation Project Award (first place), 2011. He holds over 50 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on Computational Photography.

Raskar UIST Keynote 2015 November

Raskar UIST Keynote 2015 November

Raskar UIST Keynote 2015 November

Camera Culture Group, MIT Media Lab

Multiview Imaging HW Overview

Multiview Imaging HW Overview

Multiview Imaging HW Overview

Camera Culture Group, MIT Media Lab

Time of Flight Cameras - Refael Whyte

Time of Flight Cameras - Refael Whyte

Time of Flight Cameras - Refael Whyte

Camera Culture Group, MIT Media Lab

Leap Motion Development (Rohan Puri)

Leap Motion Development (Rohan Puri)

Leap Motion Development (Rohan Puri)

Camera Culture Group, MIT Media Lab

Compressed Sensing - Achuta Kadambi

Compressed Sensing - Achuta Kadambi

Compressed Sensing - Achuta Kadambi

Camera Culture Group, MIT Media Lab

Coded Photography - Ramesh Raskar

Coded Photography - Ramesh Raskar

Coded Photography - Ramesh Raskar

Camera Culture Group, MIT Media Lab

Stereo and 3D Displays - Matt Hirsch

Stereo and 3D Displays - Matt Hirsch

Stereo and 3D Displays - Matt Hirsch

Camera Culture Group, MIT Media Lab

More from Camera Culture Group, MIT Media Lab (20)

Raskar Sig2017 Siggraph Achievement Award Talk

Raskar Sig2017 Siggraph Achievement Award Talk

Raskar Sig2017 Siggraph Achievement Award Talk

Lost Decade of Computational Photography

Lost Decade of Computational Photography

Lost Decade of Computational Photography

Covid Safe Paths

Covid Safe Paths

Covid Safe Paths

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Dont follow the rainbow: How to avoid career traps that can lead you to fail,...

Raskar PhD and MS Thesis Guidance

Raskar PhD and MS Thesis Guidance

Raskar PhD and MS Thesis Guidance

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019

Geo-spatial Research: Transition from Analysis to Synthesis

Geo-spatial Research: Transition from Analysis to Synthesis

Geo-spatial Research: Transition from Analysis to Synthesis

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...

Unspoken Challenges in AR and XR

Unspoken Challenges in AR and XR

Unspoken Challenges in AR and XR

Raskar stanfordextremecompuimagingapr2016

Raskar stanfordextremecompuimagingapr2016

Raskar stanfordextremecompuimagingapr2016

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

What is SIGGRAPH NEXT? Intro by Ramesh Raskar

What is Media in MIT Media Lab, Why 'Camera Culture'

What is Media in MIT Media Lab, Why 'Camera Culture'

What is Media in MIT Media Lab, Why 'Camera Culture'

Raskar UIST Keynote 2015 November

Raskar UIST Keynote 2015 November

Raskar UIST Keynote 2015 November

Multiview Imaging HW Overview

Multiview Imaging HW Overview

Multiview Imaging HW Overview

Time of Flight Cameras - Refael Whyte

Time of Flight Cameras - Refael Whyte

Time of Flight Cameras - Refael Whyte

Leap Motion Development (Rohan Puri)

Leap Motion Development (Rohan Puri)

Leap Motion Development (Rohan Puri)

Compressed Sensing - Achuta Kadambi

Compressed Sensing - Achuta Kadambi

Compressed Sensing - Achuta Kadambi

Coded Photography - Ramesh Raskar

Coded Photography - Ramesh Raskar

Coded Photography - Ramesh Raskar

Stereo and 3D Displays - Matt Hirsch

Stereo and 3D Displays - Matt Hirsch

Stereo and 3D Displays - Matt Hirsch

Recently uploaded

Intrigued by why some of the world's largest companies (Netflix, Google, Cisco, Twitter, Uber etc) are using gRPC? In this demo based talk we delve into the world of gRPC in .Net, what it does and why we should use it. We compare the interface with both Rest and graphQL. We will show you how to implement grpc server-side in .net and in the web. Finally, I will show you how the tooling helps you deliver powerful interfaces and interact with them quickly and simply.

Demystifying gRPC in .Net by John Staveley

Demystifying gRPC in .Net by John Staveley

Demystifying gRPC in .Net by John Staveley

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Already know how to write a basic SOQL query? Great! But what about an *aggregate* SOQL query? You know, the kind that uses aggregate functions like COUNT & MAX along with GROUP BY and HAVING clauses? No? Well, get ready to learn how to slice & dice your org’s data right inside your own dev console. From finding duplicate records to prototyping summary & matrix reports, learn the ins and outs of aggregate queries during this fast-paced but admin-friendly session on advanced SOQL concepts.

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

Knowledge engineering: from people to machines and back

Knowledge engineering: from people to machines and back

Knowledge engineering: from people to machines and back

UiPath Test Automation using UiPath Test Suite series, part 3

UiPath Test Automation using UiPath Test Suite series, part 3

UiPath Test Automation using UiPath Test Suite series, part 3

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

This talk focuses on the practical aspects of integrating various telephony systems with Salesforce, drawing on examples from implementations in the Czech scene. It aims to inform attendees about the spectrum of telephony solutions available, from small to large scale, and their compatibility with Salesforce. The presentation will highlight key considerations for selecting a telephony provider that integrates smoothly with Salesforce, including important questions to support the decision-making process. It will also discuss methods for integrating existing telephony systems with Salesforce, aimed at companies contemplating or in the process of adopting this CRM platform. The discussion is designed to provide a straightforward overview of the steps and considerations involved in telephony and Salesforce integration, with an emphasis on functionality, compatibility, and the practical experiences of Czech companies.

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.' We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly. By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors. Why this matters: The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions. Highlights: ▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain ▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing ▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond ▪ Future of Work: How automation will redefine jobs and economic structures by 2040 With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Peter Udo Diehl

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

JMeter webinar - integration with InfluxDB and Grafana

JMeter webinar - integration with InfluxDB and Grafana

JMeter webinar - integration with InfluxDB and Grafana

New customer? New industry? New cloud? New team? A lot to handle! How to ensure the success of the project? Start it well! I've created the 3 areas of focus at the beginning of the project that helped me in multiple roles (BA, PO, and Consultant). Learn from real-world experiences and discover how these insights can empower you to deliver unparalleled value to your customers right from the project's start.

Powerful Start- the Key to Project Success, Barbara Laskowska

Powerful Start- the Key to Project Success, Barbara Laskowska

Powerful Start- the Key to Project Success, Barbara Laskowska

In this session, we will showcase how to revolutionize automated testing for your software, automation, and QA teams with UiPath Test Suite. In part 1 of UiPath test automation using UiPath Test Suite – developer series, we will cover, Software testing overview What is software testing Why software testing is required Typical test types and levels Continuous testing and challenges Introduction to UiPath Test Suite UiPath Test Suite family of products Speaker: Atul Trikha, Chief Technologist & Solutions Architect, Peraton and UiPath MVP Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Ever caught yourself nodding along when someone mentions "delivering value" in Agile, but secretly wondering what the heck they actually mean? You're not alone! Join us for an eye-opening session where we'll strip away the buzzwords and dive into the heart of Agile—value delivery. But what is "value"? Is it a mythical unicorn in the world of software development, or is there more to this overused term? This isn't going to be a sit-and-get lecture. We're talking about a face-to-face, interactive meetup where YOU play a crucial role. Come along to: Define It: What does "value" really mean? We’ll build a definition that’s not just words, but a compass for your Agile journey. Contextualise It: Discover what value means specifically to you, your team, your company, and your industry. Because one size does not fit all. Deliver It: Share strategies and gather new ones for uncovering and delivering true value—no more shooting in the dark!

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

IoT Analytics Company Presentation May 2024

IoT Analytics Company Presentation May 2024

IoT Analytics Company Presentation May 2024

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

Speed Wins: From Kafka to APIs in Minutes

Speed Wins: From Kafka to APIs in Minutes

Speed Wins: From Kafka to APIs in Minutes

Recently uploaded (20)

Demystifying gRPC in .Net by John Staveley

Demystifying gRPC in .Net by John Staveley

Demystifying gRPC in .Net by John Staveley

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...

Knowledge engineering: from people to machines and back

Knowledge engineering: from people to machines and back

Knowledge engineering: from people to machines and back

UiPath Test Automation using UiPath Test Suite series, part 3

UiPath Test Automation using UiPath Test Suite series, part 3

UiPath Test Automation using UiPath Test Suite series, part 3

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Integrating Telephony Systems with Salesforce: Insights and Considerations, B...

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

JMeter webinar - integration with InfluxDB and Grafana

JMeter webinar - integration with InfluxDB and Grafana

JMeter webinar - integration with InfluxDB and Grafana

Powerful Start- the Key to Project Success, Barbara Laskowska

Powerful Start- the Key to Project Success, Barbara Laskowska

Powerful Start- the Key to Project Success, Barbara Laskowska

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

IoT Analytics Company Presentation May 2024

IoT Analytics Company Presentation May 2024

IoT Analytics Company Presentation May 2024

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

Speed Wins: From Kafka to APIs in Minutes

Speed Wins: From Kafka to APIs in Minutes

Speed Wins: From Kafka to APIs in Minutes

Raskar TED global 2012: Femto Photography

1. Raskar, Camera Culture, MIT Media Lab Femto-Photography Ramesh Raskar Associate Professor MIT Media Lab http://raskar.info

3. Trillion Frames per Second Femto-Photography Light in Motion

4. Milli Micro Nano Pico Femto Atto

5. Bullet of Light 1,000,000 x Faster Milli Micro Nano Pico Femto Atto

6. Light in Slow Motion .. 10 Billion x Slow

7. Trillion frames per second

8.

9. Painting a Photo In Time

10.

12. Andreas Velten, Di Wu, Christopher Barsi, Everett Lawson

14. Can you see around corners ?

15. 2nd Bounce 1st Bounce 3rd Bounce

16. Hidden Femto-Camera Mannequin Wall Door Velten et al, Nature Communications 2012

17.

18.

19. Avoiding Collisions Andreas Velten, Thomas Willwacher, Otkrist Gupta, Ashok Veeraraghavan, Moungi Bawendi, Ramesh Raskar, Nature Communications 2012

20. …, rescue operations, … Rohit Pandharkar, Velten, Bardagjy, Lawson, Bawendi, Raskar, CVPR 2011

21. …, colonoscopies, …

22. …, cardioscopies, …

24. Computational Photography Ripples of Waves

25. Time Distortion ~ Speed of Light

26.

27. FemtoPhotography.info

28.

29. Raskar, Camera Culture, MIT Media Lab gfh