Facebook analytic for mobile companiesMohamed Nour
This comparison report covering the first quarter for mobile providers in Egypt the data is collected by “fanpagekarma” tool the point below is what you will find in the next screens and comparison methodology.
Facebook analytic for mobile companiesMohamed Nour
This comparison report covering the first quarter for mobile providers in Egypt the data is collected by “fanpagekarma” tool the point below is what you will find in the next screens and comparison methodology.
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
Compare Streaming Media Players With NVIDIA SHIELDNVIDIA
If you’re thinking about buying a next-gen smart TV console after hearing about the new Apple TV, we have good news: You’ve got options.
We introduced our own next-gen smart TV console — NVIDIA SHIELD Android TV — back in May. And it offers extraordinary capabilities.
SHIELD offers 3x more performance, plus more features and more ways to game. It’s still the only smart TV console that can stream 4K content. And — thanks to its support for Chromecast — it connects your mobile devices directly to your living room display.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon ECR Lifecycle Policies work to lower costs and reduce image sprawl
- How to configure and test rules for automated image cleanup
- Best practices for getting started using Lifecycle Policies today
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
Working with Amazon Lex Chatbots in Amazon Connect - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to setup Amazon Connect
- Learn the value of Amazon Connect and virtual assistants
- Learn how to use Amazon Lex chatbots in Amazon Lex
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
Top 5 Deep Learning and AI Stories - November 3, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Pentagon official says that AI and machine learning will revolutionize the US intelligence community; how AI could spot lung cancer faster; AI researchers can now access optimized deep learning framework containers through NVIDIA GPU Cloud; AI4ALL improves student access to AI resources by partnering with NVIDIA Deep Learning Institute; the Deep Learning Institute expands its courses to address the growing demand for AI talent.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects.
In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
Sentiment Analysis Using Apache MXNet and Gluon - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to easily get started with Deep Learning on AWS using the AWS Deep Learning AMI
- Learning how to use Apache MXNet and Gluon to start and scale deep learning projects
- Learn how to build an LSTM network for sentiment analysis
Building Serverless Websites with Lambda@Edge - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how to take advantage of Lambda@Edge and Amazon CloudFront
- Response generation with Lambda@Edge
- How to optimize Lambda@Edge responses with CloudFront cache usage
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
Compare Streaming Media Players With NVIDIA SHIELDNVIDIA
If you’re thinking about buying a next-gen smart TV console after hearing about the new Apple TV, we have good news: You’ve got options.
We introduced our own next-gen smart TV console — NVIDIA SHIELD Android TV — back in May. And it offers extraordinary capabilities.
SHIELD offers 3x more performance, plus more features and more ways to game. It’s still the only smart TV console that can stream 4K content. And — thanks to its support for Chromecast — it connects your mobile devices directly to your living room display.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon ECR Lifecycle Policies work to lower costs and reduce image sprawl
- How to configure and test rules for automated image cleanup
- Best practices for getting started using Lifecycle Policies today
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
Working with Amazon Lex Chatbots in Amazon Connect - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to setup Amazon Connect
- Learn the value of Amazon Connect and virtual assistants
- Learn how to use Amazon Lex chatbots in Amazon Lex
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
Top 5 Deep Learning and AI Stories - November 3, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Pentagon official says that AI and machine learning will revolutionize the US intelligence community; how AI could spot lung cancer faster; AI researchers can now access optimized deep learning framework containers through NVIDIA GPU Cloud; AI4ALL improves student access to AI resources by partnering with NVIDIA Deep Learning Institute; the Deep Learning Institute expands its courses to address the growing demand for AI talent.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects.
In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
Sentiment Analysis Using Apache MXNet and Gluon - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to easily get started with Deep Learning on AWS using the AWS Deep Learning AMI
- Learning how to use Apache MXNet and Gluon to start and scale deep learning projects
- Learn how to build an LSTM network for sentiment analysis
Building Serverless Websites with Lambda@Edge - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how to take advantage of Lambda@Edge and Amazon CloudFront
- Response generation with Lambda@Edge
- How to optimize Lambda@Edge responses with CloudFront cache usage
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Some time back Twitter had announced to incorporate changes and add newer features to their interface. The video recording facility, which allows one to record data up to 30 seconds is an amazing feature launched by Twitter.
This makes the use of DM useful not just for a group of friends, sharing their little secrets but also for the marketers who believe in doing more targeted marketing and advertising to the right audience.
Twitter vs. Facebook Which Platform Offers Better Video Engagement.pdfSocially Savvy
In the ever-evolving landscape of social media, video content has emerged as a dominant force in capturing user attention and driving engagement. Platforms like Twitter and Facebook have recognized this trend and have integrated video features into their offerings.
At iris we have one of the most holistic global social media offerings in the industry. So we had our team share their expertise on all the main social channels out there right now, how best to use them, who’s on them, how their ads work and a checklist for how to approach them.
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
Our passion is to inspire and enable the da Vincis and Einsteins of our time, so they can see and create the future. We pioneered graphics, accelerated computing, and AI to tackle challenges ordinary computers cannot solve. See how we're continuously inventing the future--from our early days as a chip maker to transformers of the Metaverse.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
1. A DV E R T I S I N G video.twitter.com/about June 2015
V I D E O O N T W I T T E R
Twitter Inc. internal confidential information. Please only disclose with the intended audience and parties. For further information please consult video.twitter.com/about
Reach a highly engaged mobile
audience.
90% of Twitter’s video views occur on a
mobile device. Reach this engaged, discovery
oriented audience at scale with video on
Twitter.
100% viewability. No exceptions.
Demand a new standard in viewability. Video
views on Twitter are now defined as 3
seconds of play in 100% view, or if a user
clicks to expand and un-mute.
Layer on Twitter’s best-in-class targeting
capabilities to instantly distribute videos to key
audiences. Target based on dozen of dimensions
including keywords, interests, and even TV
conversations.
Exclusive targeting at your fingertips.
video consumption growth on Twitter
from Q4’14 to Q1’15
increase in engagement with native
videos on Twitter vs 3rd party
embedded videos
all videos on Twitter are 100%
viewable
+400% +170% +100%
V I D E O O N T W I T T E R D R I V E S D I S COV E RY & E N G AG E M E N T
Video on Twitter now offers more impact and effectiveness at scale. With Twitter’s new media-forward
consumption experience, videos on Twitter are more exciting for consumers and more effective for brands
Source: Twitter Internal Data, April 2015