"Technology is neither the problem nor the solution, it's just a tool. In the end, these are all human problems that need human-focused solutions.“

Dr. Vivienne Ming is a theoretical neuroscientist, technologist and entrepreneur. She co-founded Socos, where machine learning and cognitive neuroscience combine to maximize students’ life outcomes. Vivienne is also a visiting scholar at UC Berkeley’s Redwood Center for Theoretical Neuroscience, where she pursues her research in neuroprosthetics. Dr. Ming speaks frequently on her AI-driven research into the future of work, education, inclusion & gender in business, technology & society, and augmented intelligence.

This talk was given at SingularityU Czech Summit 2018 in Prague https://www.singularityuczechsummit.com

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Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

Rodney Brooks' Collaborative Robots

Singularity University's Exponential Manufacturing Summit leads 500+ of the world's brightest executives, entrepreneurs and investors through an intensive three-day program in Boston to prepare them for the changes brought forth by unstoppable technological progress.

From May 17-19, 2017, we explored how exponential technologies including artificial intelligence, additive manufacturing, exponential energy, and bio manufacturing are continually redefining the future of work, production, supply chain, and design.

Connect with Exponential Manufacturing:Website: https://su.org/summits/exponential-ma...Facebook: https://www.facebook.com/xmanufacturing/Twitter: https://twitter.com/xmanufacturing

About Singularity University:Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Category
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Rodney Brooks is an Australian roboticist, Fellow of the Australian Academy of Science, author, and robotics entrepreneur, most known for popularizing the actionist approach to robotics.

Brooks left MIT in 2008 to found a new company, Rethink Robotics (formerly Heartland Robotics), where he serves as chairman and Chief Technical Officer.

Recorded: 2016

Rodney Brooks is a computer scientist, roboticist, and entrepreneur. He was a Panasonic Professor (emeritus) of Robotics at the Massachusetts Institute of Technology and former director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is a founder and former Chief Technical Officer of iRobot (makers of Roomba vacuum).

Brooks delivered his Shannon Luminary Lecture "The future of Innovation in Artificial Intelligence and Robotics" on December 13, 2018. Today we see the successful exploitation of innovative AI research that will stretch on for many years. Eventually we will need new innovations, on the order of importance of Deep Learning to continue to fuel AI and robotics deployment. This talk will explore the history of hard problems in AI, what is still very hard today, and how early along the way towards human level intelligence we really are.

Pitch competition @ The Garage
Startup name: Augmented Intelligence Resource (AIR)

Man and Machine Partnership with Augmented Intelligence - Harriet Green shares insights on AI in an engaging Q&A with Michael Mendenhall, CMO and CCO, Flex.

More about Flex: http://flex.com
More about Watson IoT: http://ibm.com/iot

ICML 2019 Workshop Paper: https://arxiv.org/abs/1906.11897

This Slaughterbots Film demonstrates how Artificial Intelligence in Killer Drones can change the landscape in targeting humans.

A collaboration between University of California-Berkeley professor Stuart Russell and the Future of Life Institute that shows a future in which palm-sized, autonomous drones use facial recognition technology and on-board explosives to commit untraceable massacres.

The film is the researchers' latest attempt to build support for a global ban on autonomous weapon systems, which kill without meaningful human control.

They released the video to coincide with meetings the United Nations' Convention on Conventional Weapons is holding this week in Geneva, Switzerland, to discuss autonomous weapons.

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The news media in recent months have been full of dire warnings about
the risk that AI poses to the human race, coming from well-known
figures such as Stephen Hawking, Frank Wilczek, and Elon Musk. Should
we be concerned? If so, what can we do about it? While some in the
mainstream AI community dismiss these concerns, I will argue instead
that a fundamental reorientation of the field is required.

WAR IPhone8 AI Facial Recognition Artificial Intelligence DARP Robot Slaughterbot Tactical Unmanned Combat Air Vehicles (UCAV) Hunter Killer Drone Anti Personnel Weapons Silicon AI Life Forms ISIS DJI Drone Attack militarizing technologies AI Face Recognition artificially intelligent autonomous war machine United Nations Convention AI Facial Recognition Conventional Weapons in Geneva Switzerland Weapon of Mass Destruction WMD Police Drone
Drone Video Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. The Long-Term Future of (Artificial) Intelligence Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent Systems at the University of California, Berkeley. He is author of the textbook ‘Artificial Intelligence: A Modern Approach’, widely regarded as one of the standard textbooks in the field. Russell is on the Scientific Advisory Board for the Future of Life Institute and the Advisory Board of the Centre for the Study of Existential Risk.
Share Copy Re Post Thanks For Watching ZIG ZAG Bureau of Investigation
Artificial Intelligence Future Battlefield Slaughterbot Killer Drones WARNING Graphic Content The EVIL Doctor Strangemind SHARE
Z B I File AI666APE : Classified TOP Secret : For YOUR Eyes ONLY https://youtu.be/xMdKhZDhRNY
Artificial Intelligence Future Battlefield Slaughterbot Killer Drones WARNING Graphic Content Drone Racing Elon Musk War Warfare Tactics ape chimpanzee vs drone Evil Mad Scientist Elon Musk

What will a machine-dominated future look like? Fresh? Maybe funky? Colorful and fun? When we get to a point where AI and robots are conscious, we can only wonder if their dreams and imaginations will operate anything like our own.

We often get lost in our own thought processes, often times biassing ourselves from past experiences. But when we take our imperfect selves and build AI’s and intelligences beyond neurons, it’s hard to think of a logic flow without any type of bias. It’s impossible to separate ourselves from our biases, so if a computer can do it with a flip of a switch, think of all the implications it can have. On criminal justice, on decision making, on investing, and perhaps most importantly, in shaping public policy for the world.

Video original sources:
+ Motion Graphic COOL Design (Cinema 4D) 2018 (https://youtu.be/Bpge5OmKrS8?t=21)
+ Lusine - Just A Cloud (https://youtu.be/10Jg_25ytU0?t=130)
+ Machine Learning and Human Bias (https://www.youtube.com/watch?v=59bMh59JQDo)
+ THE COLOR OF LOVE (https://vimeo.com/298592171)

PyData London 2018

Machine learning and data science applications can be unintentionally biased if care is not taken to evaluate their effect on different sub-populations. However, by using a "fair" approach, machine decision making can potentially be less biased than human decision makers.
---
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

The Vienna Deep Learning Meetup and the Centre for Informatics and Society of TU Wien jointly organized an evening of discussion on the topic of Ethics and Bias in AI. As promising as machine learning techniques are in terms of their potential to do good, the technologies raise a number of ethical questions and are prone to biases that can subvert their well-intentioned goals.

Machine learning systems, from simple spam filtering or recommender systems to Deep Learning and AI, have already arrived at many different parts of society. Which web search results, job offers, product ads and social media posts we see online, even what we pay for food, mobility or insurance - all these decisions are already being made or supported by algorithms, many of which rely on statistical and machine learning methods. As they permeate society more and more, we also discover the real world impact of these systems due to inherent biases they carry. For instance, criminal risk scoring to determine bail for defendants in US district courts has been found to be biased against black people, and analysis of word embeddings has been shown to reaffirm gender stereotypes due to biased training data. While a general consensus seems to exist that such biases are almost inevitable, solutions range from embracing the bias as a factual representation of an unfair society to mathematical approaches trying to determine and combat bias in machine learning training data and the resulting algorithms.

Besides producing biased results, many machine learning methods and applications raise complex ethical questions. Should governments use such methods to determine the trustworthiness of their citizens? Should the use of systems known to have biases be tolerated to benefit some while disadvantaging others? Is it ethical to develop AI technologies that might soon replace many jobs currently performed by humans? And how do we keep AI and automation technologies from widening society's divides, such as the digital divide or income inequality?

This event provides a platform for multidisciplinary debate in the form of keynotes and a panel discussion with international experts from diverse fields:

Keynotes:

- Prof. Moshe Vardi: "Deep Learning and the Crisis of Trust in Computing"
- Prof. Sarah Spiekermann-Hoff: “The Big Data Illusion and its Impact on Flourishing with General AI”

Panelists: Ethics and Bias in AI

- Prof. Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering, Rice University
- Prof. Peter Purgathofer, Centre for Informatics and Society / Institute for Visual Computing & Human-Centered Technology, TU Wien
- Prof. Sarah Spiekermann-Hoff, Institute for Management Information Systems, WU Vienna
- Prof. Mark Coeckelbergh, Professor of Philosophy of Media and Technology, Department of Philosophy, University of Vienna
- Dr. Christof Tschohl, Scientific Director at Research Institute AG & Co KG

Moderator: Markus Mooslechner, Terra Mater Factual Studios

The evening will be complemented by networking & discussions over snacks and drinks.

More details: http://www.aiethics.cisvienna.com

Stanford Law Professor Dan Ho discusses modernizing the administrative state during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.

Stanford Law Professor Dan Ho discusses how AI is shifting the understanding of the Constitution during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.

An introduction to the breadth of topics in the field of AI and human rights, and a welcome to the distinguished panelists and attendees.

Keynote speakers:
David Freeman Engstrom is a far-ranging scholar of the design and implementation of litigation and regulatory regimes whose expertise runs to civil procedure, administrative law, federal courts, constitutional law, legal history, and empirical legal studies. Current work includes a study for the Administrative Conference of the United States on AI use by federal agencies and a project on the effect of emerging legal technologies on the civil justice system. He is also serving as an Associate Dean at Stanford Law and is leading an initiative charting the school’s future around digital technology. Beyond teaching and research, Engstrom has served as counsel or consultant to a range of public and private entities and is a frequent amicus before the U.S. Supreme Court. He is an elected member of the American Law Institute and a faculty affiliate at the Stanford Human-Centered AI Initiative and at CodeX: The Stanford Center for Legal Informatics. He has a J.D. from Stanford Law School, an M.Sc. from Oxford University, and a Ph.D. from Yale University.

Alexa Koenig, Ph.D., J.D, is the Executive Director of the Human Rights Center (winner of the 2015 MacArthur Award for Creative and Effective Institutions) and a lecturer at UC Berkeley School of Law, where she teaches classes on human rights and international criminal law with a particular focus on the impact of emerging technologies on human rights practice. She co-founded the Human Rights Investigations Lab, which trains undergraduate and graduate students to use cutting-edge open source methods to support human rights advocacy and accountability. Alexa is co-chair of the World Economic Forum’s Global Future Council on Human Rights and Technology, a member of the American Association for the Advancement of Science’s Committee on Scientific Freedom and Responsibility, co-chair of the Technology Advisory Board of the Office of the Prosecutor at the International Criminal Court, and a founding member of the board of advisors for ARCHER, a UC Berkeley-established nonprofit that leverages technology to make data-driven investigations accessible, smarter and more scalable. Alexa has been honored with several awards for her work, including the United Nations Association-SF’s Global Human Rights Award, Mark Bingham Award for Excellence, the Eleanor Swift Award for Public Service, the Phi Beta Kappa Northern California Teaching Excellence Award, and diverse grants, including support from the National Science Foundation and numerous private foundations. Her research and commentary have appeared in the Annual Review of Law and Social Science, Foreign Policy, Foreign Affairs, US News and World Report, and elsewhere.

Fei-Fei Li is a professor at Stanford University and one of the world’s pioneering researchers in AI. Her work focuses on human-centered artificial intelligence. Hear her ideas about everything from visual intelligence to cognitive neuroscience.

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TOP 4 companies that are Developing Artificial Intelligence ( AI )

IBM Watson
Vicarious Elon musk Ashton kucher JEFF Bezos Dileep George Scott Phoenix are the founders
Google's deep mind demis hassabis
Apple's Siri

Technology Trends That Will Change The World

Driverless cars
Free inter worldwide with satelites and baloons with google Facebook Qualcomm Elon musk Richard Branson
Ubiquitous solar
Nano technology nano computing
Ubiquitous computing
Drones
Internet of things 50 billion devices connected by 2020
Human genome genomics
3D printers
Exo skeletons

All these trends will disrupt many industries along the way. All industries where the
products is DEMATERIALIZED in bits zeros and ones becomes quickly demonetized.

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Movies like “Deus Ex Machina” and TV shows like “Westworld” have painted a picture of artificial intelligence that culminates in walking and talking humanoid robots. But the reality of artificial intelligence is all around us, in our phones, GPS systems and online. Amy Webb, author of “The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity,” joined THINK to discuss how the future of A.I. is already here, and what we should do about it.
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The Future Of A.I. Is In The Hands Of Nine Companies. It’s Time To Take It Back. | Think | NBC News

The 9 companies that will dominate AI. Artificial Intelligence or AI, it is said by many, will be man’s last invention. Why? Because AI is more than just hardware and software, AI will allow machines to learn. This machine learning will allow programs to make decisions and to think on their own. They will be able to iterate themselves, through trial and error, to perfection.

But there are only 9 companies that will dominate this potentially huge industry. These are the companies you should either try to work for, associate yourself with, or invest in.

Alibaba are the third largest ecommerce company in the world. They are investing $15B in global research labs in multiple countries dedicated to AI innovations. Their newest chatbot can understand human emotions, and respond accordingly, including alerting service reps to intervene. They have 200 AI powered robots in automated warehouses that process one million shipments per day. And they are creating AI robots in the hospitality sector that can deliver meals and laundry to guests.

Amazon is the largest ecommerce company in the world. Amazon has expanded Alexa to Amazon Lex. Amazon Polly, and Amazon Rekognition. These technologies are involved in text to speech conversion, and face recognition using artificial intelligence. Amazon is creating AI powered self-guided drones that can deliver products weighing as much as an unbelievable - one ton. They use ai to determine product search rankings, recommendations, and ad placement.

Apple - has Siri ai voice assistant. They have invested in a range of AI startups, including Emotient, which produces facial recognition technology, Vocal IQ, which provides a platform for voice interfaces, and Silk Labs, which makes AI software for consumer devices. Apple CEO, Tim Cook announced that they will be investing $10 Billion building data centers just in the U.S.

Chinese tech company Baidu is the largest provider of Chinese language internet search. They are the most advanced AI company in China. They use facial recognition technology in their main offices instead of the typical company ID cards. They have a voice assistant called DuerOS that has accumulated more conversation-based skill sets than Alexa, Siri or Cortana. In addition, they have invested in deep learning in the medical field and self-driving cars

Facebook has been forced to be a player in AI. With 2.3 billion regular users, about a one third of all humanity, it is impossible to have every post and image reviewed by humans. So they are using deep learning software to monitor their content. Mike Schroepfer, the company’s chief technology officer, says the technology is the only way to prevent bad actors from taking advantage of the service. Facebook’s AI software not only monitors content, but it also chooses the content that appears in the Facebook News Feed, automatically tags photos, and power the ad-targeting software.

Google has been the most aggressive company in the world on AI research, creating everything from self-driving cars, to software that can recognize cats. They are even developing their own line of machine learning chips. CEO Sundar Pichai said, "In the long run, we're evolving in computing from an 'AI-first' world," Google bought DeepMind in 2014, which is AI startup. DeepMind has since been used to defeat champion players of the board game “GO” Google's biggest application of AI is to power the algorithm in its flagship search engine. In addition Google Assistant uses AI for natural language processing.

IBM's most notable investment in AI is Watson, a a deep learning program that can answer questions posed in natural language by extract meaning from photos, videos, text and speech. Watson was popularly introduced to the world on the U.S. game show Jeopardy, where it handily beat to of its all time best human players. IBM are investing $240M over 10 years in Watson alone. The technology behind Watson has gained traction in industries from insurance to healthcare.

Microsoft bought five companies built on AI technology in 2018 alone. They launched a venture capital fund called Microsoft Ventures dedicated to fund AI startups. Satya Nadella, their CEO has a vision that AI can solve many of the world’s problems. Current applications of AI are used to power chatbots in Skype, analyze data in Office 365, build apps in Azure, support interaction with Cortana, and to power its search results in Bing similar to the way Google does it. They have elite talent on artificial intelligence research.

Tencent is a Chinese holding company involved in internet technology and AI. They are the company behind the WeChat app, China's biggest social media platform. They are focused on four areas for AI application: content, social, online games and cloud services. They claim that over a hundred Tencent products, including WeChat and QQ their instant messaging app use AI technology,

#ai
#artificialintelligence

This is AVI or LPR system that I have developed based on my 2 years Master's Degree study..just email me at abd.ghani87@gmail.com if interested to get the source code.

This is the seventh video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the sixth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the tenth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the fifth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course **
This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics.

The following topics covered in this video :

1. The Evolution of Human Language
2. What is Text Mining?
3. What is Natural Language Processing?
4. Applications of NLP
5. NLP Components and Demo

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

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---------------------------------------------------------------------------------------------------------

- - - - - - - - - - - - - -

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience.

--------------------------

Who Should go for this course ?

Edureka’s NLP Training is a good fit for the below professionals:
From a college student having exposure to programming to a technical architect/lead in an organisation
Developers aspiring to be a ‘Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Text Mining Techniques
'Python' professionals who want to design automatic predictive models on text data
"This is apt for everyone”

---------------------------------

Why Learn Natural Language Processing or NLP?

Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.

NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.

---------------------------------

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Finally, the moment we've all been waiting for and building up to. A live test!

We've decided to employ this classifier to the live Twitter stream, using Twitter's API.

We've already covered how to do live Twitter API streaming, if you missed it, you can catch up here: http://pythonprogramming.net/twitter-api-streaming-tweets-python-tutorial/

After this, we output the findings to a text file, which we intend to graph!

Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1

sample code: http://pythonprogramming.net
http://hkinsley.com
https://twitter.com/sentdex
http://sentdex.com
http://seaofbtc.com

** Natural Language Processing Using Python: https://www.edureka.co/python-natural-language-processing-course **
This Edureka video will provide you with a short and crisp description of NLP (Natural Language Processing) and Text Mining. You will also learn about the various applications of NLP in the industry.

NLP Tutorial : https://www.youtube.com/watch?v=05ONoGfmKvA

Subscribe to our channel to get video updates. Hit the subscribe button above.

-------------------------------------------------------------------------------------------------------
#NLPin10minutes #NLPtutorial #NLPtraining #Edureka

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-------------------------------------------------------------------------------------------------------

- - - - - - - - - - - - - -

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience.

--------------------------

Who Should go for this course ?

Edureka’s NLP Training is a good fit for the below professionals:
From a college student having exposure to programming to a technical architect/lead in an organisation
Developers aspiring to be a ‘Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Text Mining Techniques
'Python' professionals who want to design automatic predictive models on text data
"This is apt for everyone”

---------------------------------

Why Learn Natural Language Processing or NLP?

Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.

NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.

---------------------------------

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Hello Friends Welcome to Well Academy
In this video i am Explaining Natural Language Processing in Artificial Intelligence in Hindi and Natural Language Processing in Artificial Intelligence is explained using an Practical Example which will be very easy for you to understand.

Artificial Intelligence lectures or you can say tutorials are explained by Abdul Sattar

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Google Duplex video :
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Artificial Intelligence Full Playlist :
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This presentation was recorded at GOTO Amsterdam 2017
http://gotoams.nl

David Stibbe - Consultant at Quintor

ABSTRACT
In this session we introduce the basics about Machine Learning, explain what it is and how it relates to terms like Big Data and Artificial Intelligence.
We’ll show the various machine learning platforms that are used today like Watson, Tensorflow and Deepmind, and illustrate this [...]

Download slides and read the full abstract here:
https://gotoams.nl/2017/sessions/217

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#DataScience #ML #DeepLearning

This gives overview of the features and the deep learning frameworks made available on AMD platforms. The speaker also presents some ideas about performance parameters and ease of use of AMD software too.

Presenter

Dr. Prakash Raghavendra
PMTS (Software), AMD India Pvt Ltd
Bangalore