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9 Examples of Artificial Intelligence in Use Today
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial Intelligence
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
How AI will transform mobile, apps, and marketing: 50 influencers speak
2017 is the year Artificial Intelligence will make huge inroads on business, marketing, and our tools. 50 influencers and experts like Joel Comm, Bryan Kramer, and Tamara McCleary share their predictions.
The Astonishing Resurrection of AI (A Primer on Artificial Intelligence)
The document discusses the recent resurgence of interest and funding in artificial intelligence due to advances in algorithms, computing power, and availability of large datasets. It notes several AI startups that are working on automating routine tasks through narrow AI applications. However, it also discusses concerns about the potential risks of developing superintelligent machines.
Game Playing in Artificial Intelligence
Game Playing in Artificial Intelligence, a Computer Science fields, presented by Mwendwa Kivuva at Catholic University of Eastern Africa
Building an AI Startup: Realities & Tactics
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
Artificial intelligence in power plants
This ppt gives you abrief idea about the application of artificial intelligence in the power plants.
Hope you will like it.
please do comment..
Artificial Intelligence
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Recommended
9 Examples of Artificial Intelligence in Use Today
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial Intelligence
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
How AI will transform mobile, apps, and marketing: 50 influencers speak
2017 is the year Artificial Intelligence will make huge inroads on business, marketing, and our tools. 50 influencers and experts like Joel Comm, Bryan Kramer, and Tamara McCleary share their predictions.
The Astonishing Resurrection of AI (A Primer on Artificial Intelligence)
The document discusses the recent resurgence of interest and funding in artificial intelligence due to advances in algorithms, computing power, and availability of large datasets. It notes several AI startups that are working on automating routine tasks through narrow AI applications. However, it also discusses concerns about the potential risks of developing superintelligent machines.
Game Playing in Artificial Intelligence
Game Playing in Artificial Intelligence, a Computer Science fields, presented by Mwendwa Kivuva at Catholic University of Eastern Africa
Building an AI Startup: Realities & Tactics
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
Artificial intelligence in power plants
This ppt gives you abrief idea about the application of artificial intelligence in the power plants.
Hope you will like it.
please do comment..
Artificial Intelligence
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Everyday Machine Intelligence For Your Everyday Applications
This document provides an overview of machine intelligence and its everyday applications. It discusses artificial narrow and general intelligence, machine learning approaches including supervised and unsupervised learning, and deep learning and neural networks. It also demonstrates examples of computer vision, natural language processing, machine translation and other AI applications like cancer detection, image captioning and voice synthesis. The conclusion encourages embracing AI to improve applications.
The Coming of Age for Artificial Intelligence
Artificial Intelligence is rapidly coming of age, as business leaders increasingly grasp the immense potential of "smart" machines and other innovations as catalysts for greater efficiency and competitiveness. Discover more at www.accenture.com/AItechnology
Artificial Intelligence
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
AI For Enterprise
Gain an overview on how GPU Deep Learning in the cloud will accelerate enterprise AI and is already creating powerful partnerships.
Deep Learning - The Past, Present and Future of Artificial Intelligence
The document provides an overview of deep learning, including its history, key concepts, applications, and recent advances. It discusses the evolution of deep learning techniques like convolutional neural networks, recurrent neural networks, generative adversarial networks, and their applications in computer vision, natural language processing, and games. Examples include deep learning for image recognition, generation, segmentation, captioning, and more.
A Year of Innovation Using the DGX-1 AI Supercomputer
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Deep Learning through Examples
Suggestions:
1) For best quality, download the PDF before viewing.
2) Open at least two windows: One for the Youtube video, one for the screencast (link below), and optionally one for the slides themselves.
3) The Youtube video is shown on the first page of the slide deck, for slides, just skip to page 2.
Screencast: http://youtu.be/VoL7JKJmr2I
Video recording: http://youtu.be/CJRvb8zxRdE (Thanks to Al Friedrich!)
In this talk, we take Deep Learning to task with real world data puzzles to solve.
Data:
- Higgs binary classification dataset (10M rows, 29 cols)
- MNIST 10-class dataset
- Weather categorical dataset
- eBay text classification dataset (8500 cols, 500k rows, 467 classes)
- ECG heartbeat anomaly detection
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Hype vs. Reality: The AI Explainer
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
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Everyday Machine Intelligence For Your Everyday Applications
This document provides an overview of machine intelligence and its everyday applications. It discusses artificial narrow and general intelligence, machine learning approaches including supervised and unsupervised learning, and deep learning and neural networks. It also demonstrates examples of computer vision, natural language processing, machine translation and other AI applications like cancer detection, image captioning and voice synthesis. The conclusion encourages embracing AI to improve applications.
The Coming of Age for Artificial Intelligence
Artificial Intelligence is rapidly coming of age, as business leaders increasingly grasp the immense potential of "smart" machines and other innovations as catalysts for greater efficiency and competitiveness. Discover more at www.accenture.com/AItechnology
Artificial Intelligence
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
AI For Enterprise
Gain an overview on how GPU Deep Learning in the cloud will accelerate enterprise AI and is already creating powerful partnerships.
Deep Learning - The Past, Present and Future of Artificial Intelligence
The document provides an overview of deep learning, including its history, key concepts, applications, and recent advances. It discusses the evolution of deep learning techniques like convolutional neural networks, recurrent neural networks, generative adversarial networks, and their applications in computer vision, natural language processing, and games. Examples include deep learning for image recognition, generation, segmentation, captioning, and more.
A Year of Innovation Using the DGX-1 AI Supercomputer
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Deep Learning through Examples
Suggestions:
1) For best quality, download the PDF before viewing.
2) Open at least two windows: One for the Youtube video, one for the screencast (link below), and optionally one for the slides themselves.
3) The Youtube video is shown on the first page of the slide deck, for slides, just skip to page 2.
Screencast: http://youtu.be/VoL7JKJmr2I
Video recording: http://youtu.be/CJRvb8zxRdE (Thanks to Al Friedrich!)
In this talk, we take Deep Learning to task with real world data puzzles to solve.
Data:
- Higgs binary classification dataset (10M rows, 29 cols)
- MNIST 10-class dataset
- Weather categorical dataset
- eBay text classification dataset (8500 cols, 500k rows, 467 classes)
- ECG heartbeat anomaly detection
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Hype vs. Reality: The AI Explainer
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
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Everyday Machine Intelligence For Your Everyday Applications
Everyday Machine Intelligence For Your Everyday Applications
Deep Learning - The Past, Present and Future of Artificial Intelligence
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A Year of Innovation Using the DGX-1 AI Supercomputer
A Year of Innovation Using the DGX-1 AI Supercomputer