DataBloomBaseball players have to think fast when batting against blurry-fast pitches. Now, AI might be able to assist. Nick Bild, a Florida-based software engineer, has created an application that can signal to batters whether pitches are going to be balls or strikes. Dubbed Tipper, it can be fitted on the outer edge of glasses to Read article >
The post Meet the Maker: DIY Builder Takes AI to Bat for Calling Balls and Strikes appeared first on The Official NVIDIA Blog.
Cloud gaming uses powerful, industrial-strength GPUs inside secure data centers to stream your favorite games over the internet to you. So you can play the latest games on nearly any device, even ones that can’t normally play that game. But First, What Is Cloud Gaming? While the technology is complex, the concept is simple. Cloud Read article >
The post What Is Cloud Gaming? appeared first on The Official NVIDIA Blog.
Let’s be blunt. Potentially toxic waste is just about the last thing you want to get in the mail. And that’s just one of the opportunities for AI to make the business of analyzing wastewater better. It’s an industry that goes far beyond just making sure water coming from traditional sewage plants is clean. Just Read article >
The post In the Drink of an AI: Startup Opseyes Instantly Analyzes Wastewater appeared first on The Official NVIDIA Blog.
In this post, NVIDIA engineers show you how to use production-quality AI models such as License Plate Detection (LPD) and License Plate Recognition (LPR) models in conjunction with the NVIDIA Transfer Learning Toolkit (TLT).
In this post, NVIDIA engineers show you how to use production-quality AI models such as License Plate Detection (LPD) and License Plate Recognition (LPR) models in conjunction with the NVIDIA Transfer Learning Toolkit (TLT).
In this post, we show you how ROS and DriveWorks can be used for building AV applications using a ROS package that we have put together.
In this post, we show you how ROS and DriveWorks can be used for building AV applications using a ROS package that we have put together.
Learn how to create a cluster of GPU machines and use Apache Spark with Deep Java Library (DJL) on Amazon EMR to leverage large-scale image classification in Scala.
Learn how to create a cluster of GPU machines and use Apache Spark with Deep Java Library (DJL) on Amazon EMR to leverage large-scale image classification in Scala.
Learn how you can use Jarvis QA and the Wikipedia API action to create a simple QA application.
Learn how you can use Jarvis QA and the Wikipedia API action to create a simple QA application.
Step-by-step tutorial to develop a voice-based virtual assistant and learn what it takes to integrate Jarvis ASR and TTS with Rasa NLP and Dialog Management (DM).
Develop a voice-based virtual assistant and learn what it takes to integrate Jarvis ASR and TTS with Rasa NLP and Dialog Management (DM).
Hey guys,
Currently working on a tensorflow python script which I plan to use on a server with multiple cores .
The problem is that if I try to run the script in separate ssh sessions it will always default to the same core, and I need it to run in a different core each time so I can take advantage of all of the cores available .
Using tensorflow 2.2 so tf session is no longer available .
Can anyone please tell me how to achieve this ?
Thanks
submitted by /u/Triptonpt
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I am trying to solve 2nd order ODE which is
y”+100y=0, y(0)=0, y'(0)=10 on [0, 1] interval
using neural network. Here is the code: https://colab.research.google.com/gist/rprtr258/717c07b72f2263ca0dc401c83e9179e5/2nd-order-ode.ipynb#scrollTo=zeub0DBC9pkr
But I have two problems:
Any help with problem 1 and maybe problem 2 will be appreciated.
submitted by /u/rprtr258
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