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Weekly Social Roundup from Twitter

Weekly Social Roundup from Twitter

Weekly Social Roundup from Twitter

We love seeing all of the GPU-related tweets – here’s some that we came across this week:

Do you tweet? Follow us on twitter @GPUComputing and @NVIDIA.

AI-Powered Flying Camera to Replace Your Selfie Stick

AI-Powered Flying Camera to Replace Your Selfie Stick

AI-Powered Flying Camera to Replace Your Selfie Stick

After raising $25 million in funding, Beijing-based ZeroZero Robotics came out of stealth mode and launched their Hover Camera just days before the GMIC Beijing 2016 trade show, the ‘CES of China.’

Co-founder MQ Wang, a Stanford PhD alum focused on machine learning and natural language processing, was inspired to create the autonomous Hover Camera after watching a documentary about a man who walked 1600 miles solo across Australia.

Using a machine learning model trained on an NVIDIA Tesla K40 GPU, the camera automatically tracks your face to take photos and capture videos wherever you go.

AI-Powered Flying Camera to Replace Your Selfie Stick

AI-Powered Flying Camera to Replace Your Selfie Stick

“We wanted the user experience to be very natural — easy to use,” MQ told Mashable. “We wanted to make sure the learning curve for users is minimum. So there is no remote control or anything. There’s no calibration process.”

The final version of the product will be released this summer.

GPU-Accelerated Model Reveals Details of Nuclear Fission

GPU-Accelerated Model Reveals Details of Nuclear Fission

GPU-Accelerated Model Reveals Details of Nuclear Fission

Scientists from University of Washington, Warsaw University of Technology in Poland, Pacific Northwest National Laboratory, and Los Alamos National Laboratory, have developed a model that provides a detailed look at what happens during the last stages of the fission process.

According to their research paper, nuclear fission has almost reached the venerable age of 80 years and yet we still lack an understanding in terms of a fully quantum microscopic approach.

Using the new model, the scientists determined that fission fragments remain connected far longer than expected before the daughter nuclei split apart and the predicted kinetic energy agrees with results from experimental observations. This discovery indicates that complex calculations of real-time fission dynamics without physical restrictions are feasible and opens a pathway to a theoretical microscopic framework with abundant predictive power.

Snapshots of the total density profile of the 240Pu fission process.

Snapshots of the total density profile of the 240Pu fission process.

Evaluating the theory amounted to solving about 56,000 complex coupled nonlinear, time-dependent, three-dimensional partial differential equations for a 240Pu nucleus using a highly efficient parallelized GPU code. The calculations required nearly 2,000 NVIDIA GPUs on the Titan supercomputer at Oak Ridge National Lab.

By accurately modeling fission dynamics, the work will impact research areas such as future reactor fuel compositions, nuclear forensics, and studies of nuclear reactions.

OpenAI Creates a Gym to Train Your AI

OpenAI Creates a Gym to Train Your AI

OpenAI Creates a Gym to Train Your AI

Open AI, a non-profit artificial intelligence research company backed by Elon Musk, launched a toolkit for developing and comparing reinforcement learning algorithms.

OpenAI Gym is a suite of environments that include simulated robotic tasks and Atari games as well as a website for people to post their results and share code.

OpenAI researcher John Schulman shared some details about his organization, why reinforcement learning is important and how the OpenAI Gym will make it easier for AI researchers to design, iterate and improve their next generation applications.

Algorithm Achieves Better Accuracy Than Humans at Reading Lips

Algorithm Achieves Better Accuracy Than Humans at Reading Lips

Algorithm Achieves Better Accuracy Than Humans at Reading Lips

Researchers at the University of East Anglia in the UK developed an algorithm that is able to interpret mouthed words with a greater degree of accuracy than human lip readers.

Using Tesla K80 GPUs, the researchers trained a deep learning model to recognize mouth shapes corresponding to certain sounds as they are spoken, without any audio input cues at all.

“We’re looking at visual cues and saying how do they vary? We know they vary for different people. How are they using them? What’s the differences? And can we actually use that knowledge in this particular training method for our model? And we can,” says Dr. Helen Bear who created the visual speech recognition system as part of her PhD, along with Prof Richard Harvey of UEA’s School of Computing Sciences.

Examples of features captured for improving lip reading accuracy. The green marks relate to key points used in Active Appearance Models when tracking a speaker’s face.

Examples of features captured for improving lip reading accuracy. The green marks relate to key points used in Active Appearance Models when tracking a speaker’s face.

According to Dr. Bear, the core challenge is that humans make more sounds than distinct visual cues. For example, there are several sounds with confusingly similar lip shapes such as ‘/p/,’ ‘/b/,’ and ‘/m/’ — all of which typically cause difficulties for human lip readers. UEA’s visual speech model is able to more accurately distinguish between these visually similar lip shapes.

This technology may one day help people who have hearing and speech impairments, generate audio for video-only-security video footage or enhance poor audio quality on mobile for video calls.

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Imagine being able to virtually teleport from one space to another in real time.

With 3D-capture cameras and a mixed reality display such as HoloLens, Microsoft Research’s new ‘haloportation’ innovation allows users to see, hear, and interact with remote participants in 3D as if they are actually present in the same physical space.

Custom software helps reconstruct every possibly viewpoint from each camera and then stitches them together into one fully formed 3D model.

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

“We want to do all of this processing in a tiny window — around 33 milliseconds — to process all the data coming from all of the cameras at once, basically, and also create a temporal model, and then stream the data,” says project lead Shahram Izadi, whose team leans on NVIDIA GPUs to crunch the relevant numbers.

Izadi also mentioned the system is able to record and playback entire previous ‘haloportation’ sessions which is like walking back through time to experience memorable events.

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Virtual 3D Teleportation in Real Time with NVIDIA GPUs

Imagine being able to virtually teleport from one space to another in real time.

With 3D-capture cameras and a mixed reality display such as HoloLens, Microsoft Research’s new ‘haloportation’ innovation allows users to see, hear, and interact with remote participants in 3D as if they are actually present in the same physical space.

Custom software helps reconstruct every possibly viewpoint from each camera and then stitches them together into one fully formed 3D model.

“We want to do all of this processing in a tiny window — around 33 milliseconds — to process all the data coming from all of the cameras at once, basically, and also create a temporal model, and then stream the data,” says project lead Shahram Izadi, whose team leans on NVIDIA GPUs to crunch the relevant numbers.

Izadi also mentioned the system is able to record and playback entire previous ‘haloportation’ sessions which is like walking back through time to experience memorable events.

Daniel Ambrosi Dreamscapes Share Your Science: Pushing the Limits of Computational Photography

Share Your Science: Pushing the Limits of Computational Photography

Share Your Science: Pushing the Limits of Computational Photography

Daniel Ambrosi, Artist and Photographer, is using NVIDIA GPUs in the Amazon cloud and CUDA to create giant 2D-stitched HDR panoramas called “Dreamscapes.” Ambrosi applies a modified version of Google’s DeepDream neural net visualization code to his original panoramic landscape images to create truly one-of-a-kind pieces of art.

For more information visit http://www.danielambrosi.com/Dreamscapes.

Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.

Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH

Using Virtual Reality to Optimize User Experience Share Your Science: Using Virtual Reality to Optimize User Experience

Share Your Science: Using Virtual Reality to Optimize User Experience

Share Your Science: Using Virtual Reality to Optimize User Experience

EASE VR Co-Founders Prithvi Kandanda, CEO and Fred Spencer, CTO share how they are using NVIDIA GPUs and real-time analytics to understand a user’s behavior in virtual environments. Use cases and applications vary across industries and including retail, sports, social, manufacturing, and entertainment.

Learn more about EASE VR at https://easevr.com.

Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.

Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH

NVIDIA Announcements at the 2016 GPU Technology Conference

 NVIDIA DGX-1 NVIDIA Announcements at the 2016 GPU Technology Conference

NVIDIA DGX-1 NVIDIA Announcements at the 2016 GPU Technology Conference

If you missed the opening keynote by NVIDIA CEO Jen-Hsun Huang, here’s a recap of today’s announcements at the GPU Technology Conference in Silicon Valley.

In the video, NVIDIA VP Greg Estes covers the new NVIDIA SDK, Iray VR, Pascal-based Tesla P100 GPU, DGX-1 deep learning supercomputer in a box, and DriveWorks platform for self-driving cars.

Watch Jen-Hsun’s complete keynote at the GPU Technology Conference.

Learn more about all the announcements on the NVIDIA Developer website.



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My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
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Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

جهت نمایش صفحه معرفی و رزومه کلیک کنید

My Scientific expertise
  • Image processing
  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
  • Game and Virtual reality

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