#ai #research #blockchain

Big Tech is currently dominating the pursuit of ever more capable AI. This happens behind closed doors and results in a monopoly of power. SingularityNET is an open, decentralized network where anyone can offer and consume AI services, and where AI agents can interlink with each other to provide ever more sophisticated AI, with the goal to create a singularity that’s beneficial for humanity. This video takes a look at the basics behind SingularityNET and some of its core components.

OUTLINE:
0:00 – Intro & Overview
2:55 – Document Summarization Example Workflow
5:50 – Why AI needs a Marketplace?
9:20 – A network of APIs
12:30 – AI Evaluators & Matchmakers
15:00 – My criticisms of the Marketplace
17:45 – What is on the Blockchain?
20:45 – AI Marketplace Demo
22:00 – The AGI Token & Inflation
26:30 – Reputation System & other features
30:00 – Democratic Governance
33:00 – Benefit Tasks
36:15 – My general thoughts on the application examples
38:05 – Measuring Intelligence on SingularityNET
45:15 – OfferNet Economy
50:00 – Summary & Comments

Whitepaper: https://public.singularitynet.io/whitepaper.pdf
Website: https://singularitynet.io/
AI Marketplace: https://beta.singularitynet.io/aimarketplace

References:
https://www.hansonrobotics.com/wp-content/uploads/2018/12/Using-Tononi-Phi-to-Measure-Consciousness-of-a-Cognitive-System-While-Reading-and-Conversing.pdf
https://arxiv.org/pdf/1601.02626.pdf
https://blog.singularitynet.io/singularitynet-the-past-the-present-and-the-future-7bacb2b8e7f0
https://blog.singularitynet.io/singularitynet-supervisory-council-e7c513fd3ea6
https://blog.singularitynet.io/singularitynet-phase-two-massive-token-utilization-toward-decentralized-beneficial-agi-6e3ac5a5b44a

ADDENDUM:
I forgot to mention one important example for the utility of dynamic matchmaking: If I have a German text to summarize, and there is a German summarizer, but there is also a better English one, a clever AI could figure out for me whether to use the German one or whether to use a translator to English, then the English summarizer, then a backtranslator. And it could even do so depending on the input text.

Abstract:
[…] Most AI research today is controlled by a handful of corporations—those with
the resources to fund development. Independent developers of AI tools have no
readily available way to monetize their creations. Usually, their most lucrative
option is to sell their tool to one of the big tech companies, leading to control of
the technology becoming even more concentrated. SingularityNET’s open-source
protocol and collection of smart contracts are designed to address these problems.
Developers can launch their AI tools on the network, where they can interoperate
with other AIs and with paying users.
Not only does the SingularityNET platform give developers a commercial
launchpad (much like app stores give mobile app developers an easy path to
market), it also allows the AIs to interoperate, creating a more synergistic, broadly
capable intelligence. For example, if a text-to-speech AI and an Italian-to-English
translation AI were both on the network, then the network as a whole would be
capable of using Italian text to produce English speech.
Within this framework, AI transforms from a corporate asset to a global
commons; anyone can access AI tech or become a stakeholder in its development.
Also, anyone can add an AI/machine learning service to SingularityNET for use
by the network and receive network payment tokens in exchange. […]

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A peer to peer network, often referred to as p2p network, is one of the key aspects of blockchain technology. In this video, we break down the complexity of peer to peer networks by first defining what a network is and how p2p networks differ from traditional networks.

Learn more about P2P Networks at: https://lisk.io/academy/blockchain-basics/how-does-blockchain-work/what-is-a-peer-to-peer-network

Timestamps: ⏳
0:00 – Intro
0:17 – What is a network?
1:13 – How blockchain networks differ from traditional client-server models
1:34 – What is a P2P network?
1:42 – Benefits of P2P networks

Lisk makes it easy for developers to build and deploy blockchain applications in JavaScript. Learn about the leading platform for world-changing dapps at https://lisk.io/products

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This video on “What is RPA” provides a simple introduction to RPA and its concepts. We learn about What RPA is, the reasons behind why it is being so readily adopted by several industries, its working, the outcome of deploying RPA and lastly about its growth projections over the past few years. So, let’s jump right in.

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#RPA #RoboticProcessAutomation #RPADeveloper #WhatIsRPA? #RPAExplained #RPATutorialForBeginners #Simplilearn

If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) course will put you on the fast track. RPA is one of the hottest and fastest growing technologies for improving real-time business operations and processes. This course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

What are the benefits of this course?
Robotic Process Automation (RPA) is an advanced technology that automates huge quantities of redundant tasks by applying artificial intelligence (AI). RPA can be used for processing transactions, manipulating data, triggering responses and communicating with other digital systems. RPA has applications in a plethora of industries including insurance claims processing, invoice processing, customer feedback analysis, onboarding of employees, HR operations, and much more. More on the RPA market:
– The global market for RPA software and services is expected to grow to $1.2 billion by 2021 at a compound annual growth rate of 36 per cent.
– One wine producer increased its order accuracy from 98% to 99.7% while reducing costs There are 3000+ RPA job postings in India and the US.

What are the course objectives?
The primary objective of this Introduction to RPA training course is to give you a glimpse into the bright and exciting future of Robotic Process Automation and to give you an overview of the fundamental methodologies and tools that will help you employ RPA on the job. You’ll learn the key RPA tools and workflows used in intelligent automation, steps for implementing RPA in your enterprise and case studies that will provide innovative best practices.

Upon successful completion of our Introduction to Robotics Process Automation online training course, you will gain a fair understanding of RPA and related business applications. By the end of the course, you will be able to understand-
1. RPA and its business applications
2. The impact that RPA creates with significant ROI
3. Various tools available in the market and their right fit
4. Organization and management of a real-life workflow automation project

Who should take this course?
Simplilearn’s Introduction to Robotic Process Automation course is best suited for:
1. CXOs
2. Team Leads
3. Business Analysts
4. Solution Architects

👉Learn more at: https://bit.ly/3b9ae9Q

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This video on Artificial Intelligence introduces you to Artificial intelligence with a fun and simple approach. We will talk about what is Artificial Intelligence, how it’s different from Machine Learning and deep learning, its features, types, and scope. We also look at some interesting applications of Artificial Intelligence.

By the end of this video, you will understand:
0:00 What is Artificial Intelligence?
03:13 Difference between Artificial intelligence, Machine Learning and Deep Learning
01:52 Examples of Artificial Intelligence
03:46 Future of Artificial Intelligence

Don’t forget to take the quiz at 04:10!

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#AritificialIntelligence #WhatIsArtificialIntelligenceExactly #AritificialIntelligenceTutorial #WhatIsAi #WhatIsArtificialIntelligence #AiIn5Minutes #AITutorial #AITutorialForBeginners #AritificialIntelligenceBasics #AI #Simplilearn

About Simplilearn Artificial Intelligence course:
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

What are the career benefits of this Introduction to AI course?
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation). By 2022, the AI market will grow at a CAGR of 53.25 per cent, and an estimated. 2.3 million jobs will be created in the AI field by 2020 (Source: Gartner).

What are the course objectives?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.

What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
1. The meaning, purpose, scope, stages, applications and effects of AI
2. Fundamental concepts of machine learning and deep learning
3. The difference between supervised, semi-supervised and unsupervised learning

Who should take this Introduction to Artificial Intelligence course?
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer
2. Analytics managers who are leading a team of analysts
3. Information architects who want to gain expertise in AI algorithms
4. Analytics professionals who want to work in machine learning or artificial intelligence
5. Graduates looking to build a career in artificial intelligence or machine learning

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Natural language processing allows computers to understand human language. It has plenty of applications. For example:
Text summarization, translation, keyword generation, sentiment analysis or chat bots.

So how it works? Let’s take a closer look at it.

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Some sources & further reading:
http://www.mind.ilstu.edu/curriculum/protothinker/natural_language_processing.php
https://nlp.stanford.edu/
https://research.google.com/pubs/NaturalLanguageProcessing.html
https://en.wikipedia.org/wiki/Natural_language_processing
https://en.wikipedia.org/wiki/Natural_language_understanding
https://en.wikipedia.org/wiki/Natural_language_generation
https://en.wikipedia.org/wiki/Tokenization_(lexical_analysis)
https://en.wikipedia.org/wiki/Syntax
https://en.wikipedia.org/wiki/Parsing
https://en.wikipedia.org/wiki/Context-free_grammar
https://en.wikipedia.org/wiki/Semantics
https://en.wikipedia.org/wiki/Pragmatics
https://en.wikipedia.org/wiki/Sentiment_analysis

Warfare is going through its most significant change in human history. This is an in-depth look at how robotics is increasingly preventing soldiers from rich nations from dying in battle.
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Information in this video is from:
http://en.wikipedia.org/wiki/Military_robot
http://www.foreignpolicy.com/articles/2014/05/05/the_looming_robotics_gap_us_military_technology_dominance

Music:
“The Driving Force” by Jingle Punks – YT Music Library
“Rising” Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0
http://creativecommons.org/licenses/by/3.0/
“The Complex” Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0
http://creativecommons.org/licenses/by/3.0/
“Stale Mate” by Jingle Punks – YT Music Library

Video and Image credits:
Battle on Foot from “300”
https://www.youtube.com/watch?v=HdNn5TZu6R8
“Troy”
https://www.youtube.com/watch?v=7jbO8ToJTko
The Horse Charge
https://www.youtube.com/watch?v=eQZGvxM_Dq0
Revolutionary War Battle of the Hook Reenactment 2013
https://www.youtube.com/watch?v=gxCg5a7NGa8
http://www.videoblocks.com/videos/details/union-cavalry-fires-at-reenactment/
Chariot scene from “The Eagle”
https://www.youtube.com/watch?v=mX8ElKpnHvE
Tank
http://youtube.com/watch?v=hNxgjdoIoxU
Wright Brothers First Flight (1903)
https://www.youtube.com/watch?v=Wfyvspnko04
Stealth Plane
http://youtube.com/watch?v=gKgbdI7tZEc
Soldiers marching
youtube.com/watch?v=_oV5Z2bOVAI
Robot eyes
http://www.dvice.com/sites/dvice/files/styles/content_panes_media/public/sntinelrbt09870.jpg?itok=erywsdBX
Protector Robot Carrying 1,00 Pounds of Gear at Fort Ben
youtube.com/watch?v=e9jUiO9xuF8
TALON & PackBot – Military Explosive Disposal Robots Demo
youtube.com/watch?v=kDtucLAXpm4
British army explosive disposal
youtube.com/watch?v=PFUVH1r5qgA
Guardium UGV
youtube.com/watch?v=fdDzUP2heC0
MQ-9 Reaper
youtube.com/watch?v=lZcznYuwiV4
Iran RQ-170
http://youtube.com/watch?v=EWWNQMtvg8k
US Air Force Flapping Wing Micro Air Vehicle
youtube.com/watch?v=_5YkQ9w3PJ4
Korean DMZ
https://www.youtube.com/watch?v=PYr9DlOF8Mk
South Korean Sentry
https://www.youtube.com/watch?v=INyVbf-yG7s
Israeli Border
http://youtube.com/watch?v=MP9AWP1yfh8
Protector USV
http://youtube.com/watch?v=WiCVITIH2Kg
Port of Singapore
http://amrithaalladi.files.wordpress.com/2011/08/dscn3355.jpg
Killer Robots
http://ivarfjeld.files.wordpress.com/2013/05/killerrobot_610x407.jpg
Chinese Stealth UAV
http://youtube.com/watch?v=nvQfrOgYjuc
South Korean Robot Prison Guard
https://www.youtube.com/watch?v=-TsgEKdGCdU
Russian robot
https://www.youtube.com/watch?v=nkR4UuFWutk
Money (from vid blocks)
Google buys 8 robotics companies in 6 months: why?
http://www.cbsnews.com/news/google-buys-8-robotics-companies-in-6-months-why/
Commercial Market for Robotics
https://www.youtube.com/watch?v=C5R-FSRBUbE
Google logo
http://upload.wikimedia.org/wikipedia/commons/5/51/Google.png
Lockheed Martin Logo
http://1.bp.blogspot.com/_AcBUSVxs82w/TSlKlVwYKuI/AAAAAAAAkUM/wZOdg_2zYIQ/s1600/Lockheed_Martin_Logo.jpg
Knifefish
https://www.youtube.com/watch?v=Dbfwwv47w4Y
UAV
https://www.youtube.com/watch?v=87_gdOGGpSM
BD Petman Tests Camo
http://youtube.com/watch?v=tFrjrgBV8K0
BD Atlas
http://youtube.com/watch?v=SD6Okylclb8
BigDog
youtube.com/watch?v=gOkXRXZIFxs
New UGV
https://www.youtube.com/watch?v=KzpkvfuQGFM
Humvee
https://www.youtube.com/watch?v=uMsrjeny5pE
X-47B
https://www.youtube.com/watch?v=pCAe81aq6k0
Missile Launched at Sea
https://www.youtube.com/watch?v=k1U5fKwM2gc
Joint Aerial Layer Network
http://ultra-ats.com/files/images/_medium_ultra-ats_111213.jpg
DARPA’s Hydra program
http://www.darpa.mil/uploadedImages/Content/NewsEvents/Releases/2013/revised%20web-graphic%20(4).jpg
Military funeral
https://www.youtube.com/watch?v=qhXkP2emFII
Afghanistan Firefight
https://www.youtube.com/watch?v=zKFhdSw_ETI
Predator Drone Missile Strike
https://www.youtube.com/watch?v=KcEoRae6Yog
US Drone Pilots
https://www.youtube.com/watch?v=-v1V1UapYE4
Airman with family
https://www.youtube.com/watch?v=u90JzVMaRts

china navy

The programmes behind artificial intelligence are in almost every part of our lives, but there’s an emerging problem with them: algorithmic bias.

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Peer to Peer Network – P2P Network – Fundamental concepts explained with example – What Why How

Namaskaar Dosto, is video mein maine aapse Voice Recognition ke baare mein baat ki hai, aap sabhi Speech Recognition ko use karte hai, fir woh Google Assistant ya Google now ho, Hey Siri ho ya Cortana ho. Maine aapko bataya hai ki kaise yeh systems develop hue, aur kaise hum inhe theek se use kar paate hai. Mujhe umeed hai ki aapko voice recognition ke baare mein yeh video pasand aayegi.

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This video on “What is Deep Learning” provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

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#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn

Simplilearn’s Deep Learning course will transform you into an expert in Deep Learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our Deep Learning course, you’ll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.

Why Deep Learning?

It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in Deep Learning models, learn to operate TensorFlow to manage neural networks and interpret the results. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build Deep Learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks
6. Troubleshoot and improve Deep Learning models
7. Build your own Deep Learning project
8. Differentiate between machine learning, Deep Learning and artificial intelligence

There is booming demand for skilled Deep Learning engineers across a wide range of industries, making this Deep Learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this Deep Learning online course particularly for the following professionals:

1. Software engineers
2. Data scientists
3. Data analysts
4. Statisticians with an interest in Deep Learning

Learn more at: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training?utm_campaign=What-Is-Deep-Learning-6M5VXKLf4D4&utm_medium=Tutorials&utm_source=youtube

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Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.

But after so many advantages do we have any danger with AI and the Future era of ROBOTS..?
I will explain the Science of Artificial Intelligence.

Sophia is one of the most Advanced AI humanoid robots.

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When reading up on artificial neural networks, you may have come across the term “bias.” It’s sometimes just referred to as bias. Other times you may see it referenced as bias nodes, bias neurons, or bias units within a neural network. We’re going to break this bias down and see what it’s all about.

We’ll first start out by discussing the most obvious question of, well, what is bias in an artificial neural network? We’ll then see, within a network, how bias is implemented. Then, to hit the point home, we’ll explore a simple example to illustrate the impact that bias has when introduced to a neural network.

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Friends, now a days all new flagship smartphones are coming with Artificial Intelligence or AI built in. Most of the new processors including Huawei’s new Kirin 970 processor has a Neural processing Unit built-in, which essentially helps you to do your tasks much more efficiently. In this video, we explain what is Artificial Intelligence in simple language along with examples and also tell you in future how Artificial Intelligence will change our smartphones.

If you like the video please make sure you like it, and if you have not subscribed, please do so right away!

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Doston, aajkal sabhi naye smartphones mein artificial intelligence yani AI aa gayaa hai. Huawei ka nayaa Kirin 970 processor mein toh inbuilt Neural Processing Unit (NPU) aataa hai joh bahut sare kaam artificial intelligence ke sahaare se karta hai. Is video mein hum apko bataayenge Artificial Intelligence kya hai, voh bhi ekdum simple language mein examples ke saath aur ye bhi bataayenge ki future ke mobiles phone mein Aritificial Intelligence kaise kaam mein aayega.

आपको अगर कोई सवाल है तोह जरूर कमैंट्स में हमें बताईये – अगर वीडियो अच्छा लगा तोह लिखे और सब्सक्राइब जरूर कीजियेगा

Video Highlights
***************************************************************
00:49 – Artificial Intelligence (AI) Introduction
01:29 – Artificial Intelligence (AI) Character Recognition
01:52 – Artificial Intelligence (AI) Voice Recognition
02:17 – Artificial Intelligence (AI) Driverless cars
02:52 – Artificial Intelligence (AI) Google Asssitant
03:22 – Artificial Intelligence (AI) Kirin 970 Processor
03:31 – Artificial Intelligence (AI) Scene Recognition
04:23 – Uses of Artificial Intelligence (AI)
05:46 – Artificial Intelligence (AI) Emotions Recognition
06:21 – Future of Artificial Intelligence (AI)

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