Named one of Fortune’s “50 greatest leaders of all time”, Peter Diamandis is disrupting education and business through his 19 startups and his role as founder and Executive Chairman of the Xprize. Guided by the stories handed down from his father, he used medical school to launch his space exploration and is now a multiple New York Times bestselling author . Dive in with Peter and Tom as they discuss the importance of cultivating passion, curiosity, and grit in this compelling episode of Impact Theory with Tom Bilyeu.

SHOW NOTES
Peter recalls leveraging familial pressure to become a doctor as a stepping stone toward his true desire. [2:43]
Peter talks about cultivating the drive to move in the direction of his passion. [6:01]
Peter recalls how his father’s stories shaped his worldview. [10:44]
Tom and Peter discuss why telling stories is the best way to encounter a growth mindset. [16:12]
Peter reveals the three most important things to nurture in any child. [19:30]
Peter spells out the most important elements of thinking like an entrepreneur. [23:57]
Peter digs into his fascination with Star Trek and bridging the gap between science fiction and reality. [25:38]
Tom and Peter dive deep into his passion surrounding stem cells and human longevity. [33:20]
Peter discusses societal changes involving technological unemployment. [43:28]
Peter talks about enhancing human intelligence and plugging into meta intelligence. [47:45]
Peter explains why he believes we are living inside of a video game simulation. [52:54]
Peter defines the impact that he wants to have on the world. [57:18]

MENTIONED IN THIS EPISODE
Bold – http://amzn.to/2sb82wf [2:06]
Abundance: The Future Is Better Than You Think – http://amzn.to/2qRXrSQ [2:07]
The Poor Man’s James Bond – http://amzn.to/2rYt8OL [4:35]
Fahrenheit 451 – http://amzn.to/2rEHkt9 [46:49]
Homo Deus: A Brief History of Tomorrow – http://amzn.to/2sb7pCZ [49:48]
Einstein’s Intuition: Visualizing Nature in Eleven Dimensions – http://amzn.to/2rEXHWr [55:27]

ORGANIZATIONS
Students for the Exploration and Development of Space (SEDS)- http://bit.ly/2s8gKaO [6:40]
Space Generation Advisory Council – http://bit.ly/2rJZ7Bu [18:34]
International Space University – http://bit.ly/2quHXTS [18:36]
Blue Origin – http://bit.ly/1bYMzLo [33:44]
Space X – http://bit.ly/2quzUGM [34:20]
Kernel – http://bit.ly/2s8wYRq [48:34]
Neuralink – http://bit.ly/2qqL3Ji [48:36]

COMPETITIONS/EVENTS
Dean Kamen FIRST Robotics Competition – http://bit.ly/2oa0eJm [22:33]
Tricorder Xprize – http://bit.ly/1oUcDXD [28:08]
The Visioneers Summit – http://bit.ly/2dmNhTg [30:00]

PEOPLE
Jeff Bezos – http://bit.ly/1IgYsWr [6:50]
Gene Roddenberry – http://bit.ly/2qqNQlE [26:27]
Elon Musk – http://bit.ly/1tNavZk [34:10]
Ray Kurzweil – http://bit.ly/2quOq0X [48:09]
Bryan Johnson – http://bit.ly/2qqelYM [48:34]
David Foster Wallace: This Is Water- http://bit.ly/2r03vv2 [50:11]
Thad Roberts – http://bit.ly/2r0h51B [55:00]

FOLLOW PETER
TWITTER: http://bit.ly/2r9XYCO
INSTAGRAM: http://bit.ly/2r7II7c
FACEBOOK: http://bit.ly/2qnpD3M
WEBSITE: http://bit.ly/1KCNX5L

FOLLOW PETER’S ORGANIZATIONS
Human Longevity, Inc. – http://bit.ly/2s1KMxR
Singularity University – http://bit.ly/2qq7ej2
Planetary Resources – http://bit.ly/2qqk9Bd
XPRIZE – http://bit.ly/2qnacbW

Tom Bilyeu is the co-founder of 2014 Inc. 500 company Quest Nutrition — a unicorn startup valued at over $1 billion — and the co-founder and host of Impact Theory. Impact Theory is a first-of-its-kind company designed to facilitate global change through the incubation of mission-based businesses and the cultivation of empowering content. Every piece of content Impact Theory creates is meant to underscore the company mission to free people from The Matrix and help them unlock their true potential. Impact Theory exists to inspire the next generation of game-changing companies and creators that will make a true and lasting impact on the world.

FOLLOW TOM BILYEU
TWITTER: http://bit.ly/2iyjY5P
INSTAGRAM: http://bit.ly/2j7vqX8
FACEBOOK: http://bit.ly/2hPStWo

SHOP:
https://shop.impacttheory.com/

FACEBOOK GROUP:
https://www.facebook.com/groups/impacttheoryleague

TOM BILYEU READING LIST:
http://impacttheory.com/reading-list/

FOLLOW IMPACT THEORY
TWITTER: http://bit.ly/2iC5lN3
INSTAGRAM: http://bit.ly/2hPSGJa
FACEBOOK: http://bit.ly/2iystOf

Subscribe to the PODCAST to get episodes early:
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-~-~~-~~~-~~-~-
Please watch: “How to Make Yourself Immune to Pain | David Goggins on Impact Theory”
https://www.youtube.com/watch?v=78I9dTB9vqM
-~-~~-~~~-~~-~-

IMPACT THEORY MERCHANDISE: Check out Impact Theory’s Merch Shop: http://bit.ly/ImpactTheoryShop

How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.

What are the emerging topics and potential societal benefits of artificial intelligence? Steve Eglash, executive director of the Stanford AI Lab, and event co-chairs Russ Altman, professor of bioengineering, genetics, medicine and computer science, and Fei-Fei Li, associate professor of computer science, open the 2016 Global Entrepreneurship Summit partner event, “The Future of Artificial Intelligence.” The event was hosted by the White House Office of Science and Technology Policy at Stanford University on June 23, 2016. Watch the remaining videos on this playlist to hear from the following people:

• Megan Smith
• Fei-Fei Li
• Daniela Rus
• Anshul Kundaje
• Chris Manning
• Yoav Shoham
• Stefano Ermon
• John Duchi
• Chris Re
• Arvind Krishna

3:30 Deep Learning: Machine Learning via Large-scale Brain Simulations

51:03 Q&A

David Pogue of Yahoo Tech explores advances in robotics and AI (or artificial intelligence) at the recent DARPA Robotics Challenge; and talks with director Alex Garland, whose new film, “Ex Machina,” features a sentient robot.

Best finals project ever? Stanford students in the ‘Introduction to Mechatronics’ course build robots to do battle, sumo wrestler-style, to display their mastery of combining mechanical, electrical and computer engineering skills.

This year’s competition, dubbed the ‘Fiscal Cliff Face-Off’, in which student-built robots, each representing a different political party, squared off on a picnic-table size platform and tried to push each other over the edge, otherwise known as the Fiscal Cliff, drew a large and enthusiastic crowd.

Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/3bhmLce

Andrew Ng
Adjunct Professor of Computer Science
https://www.andrewng.org/

To follow along with the course schedule and syllabus, visit:
http://cs229.stanford.edu/syllabus-autumn2018.html

To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit:
http://learn.stanford.edu/AI.html

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

How is a total beginner supposed to get started learning machine learning? I’m going to describe a 3 month curriculum to help you go from beginner to well-versed in machine learning. Its an accelerated learning plan, something i’d create for myself if I were to get started today, but I’m going to open source it for you guys. This curriculum will cover all the math concepts, the machine learning theory, and the deep learning theory to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video!

Curriculum from this video:
https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months

Please Subscribe! And like. And comment. That’s what keeps me going.

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
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instagram: https://www.instagram.com/sirajraval

Month 1

Week 1 Linear Algebra
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
Week 2 Calculus
https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
Week 3
https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2
Week 4 Algorithms
https://www.coursera.org/courses?languages=en&query=Algorithm%20design%20and%20analysis

Month 2

Week 1
learn python for data science
https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU
Math of Intelligence
https://www.youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
Intro to Tensorflow
https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV

Week 2
Intro to ML (Udacity)
https://eu.udacity.com/course/intro-to-machine-learning–ud120

Week 3-4
ML Project Ideas
https://github.com/NirantK/awesome-project-ideas

Month 3 (Deep Learning)

Week 1
Intro to Deep Learning
https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3

Week 2
Deep Learning by Fast.AI
http://course.fast.ai/

Week 3-4
Re-implement DL projects from my github
https://github.com/llSourcell?tab=repositories

ML people to follow on Twitter:
https://www.quora.com/Who-should-I-follow-on-Twitter-to-get-useful-and-reliable-machine-learning-information

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
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Hit the Join button above to sign up to become a member of my channel for access to exclusive content!

Watch this 30 minute webinar to learn how to unlock the value of information to drive innovation, how to combat multiple repositories & information silos, empower innovation while maximizing existing IT investments and mitigate migration.

Watch this 30 minute webinar to learn how to unlock the value of information to drive innovation, how to combat multiple repositories & information silos, empower innovation while maximizing existing IT investments and mitigate migration.

In this webinar the spekers first analysed the state-of-the-art in the use of artificial intelligence for judicial purposes. We answered the following questions:

1. Where and how is artificial intelligence being used for judicial purposes? Example of business cases.
2. Which legal issues are emerging as a consequence of its use.

Finally, they tried to imagine a world where artificial intelligence offers human the best of its capacities to serve the administration of Justice. How could that world be?

Speakers:
– María Jesús González-Espejo, ELTA’s vice president
– Arthur Dyevre, Professor at KU Leuven
– Dr. Paulius Astromskis, lawyer, entrepreneur and vice-dean for digitization at Vytautas Magnus university Faculty of Law (Kaunas, Lithuania)
– Maria Dymitruk, Researcher at the Faculty of Law, Administration and Economics, University of Wroclaw (Poland)

2019 SASPA Conference Presentation
Artificial Intelligence

Abstract: How do we allocate scarce sources? How do we fairly allocate costs? These are two pressing challenges facing society today. I discuss three recent projects concerning resource and cost allocation. In the first, we have been working with FoodBank Local, a social startup working in collaboration with food bank charities around the world to optimise the logistics of collecting and distributing donated food. Before we can distribute this food, we must decide how to allocate it to different charities and food kitchens. This gives rise to a fair division problem with several new dimensions, rarely considered in the literature. In the second, we consider how donated kidneys are allocated to waiting patients in Australia and New Zealand. Again, this gives rise to a fair division problem with a number of dimensions rarely considered in the academic literature. In the third, we have been looking at cost allocation within the distribution network of a large multinational company. This also has several new dimensions rarely considered in the literature.

About the Speaker: Toby Walsh is a Laureate Fellow, Scientia Professor of AI at the University of New South Wales, and Fellow of the Australian Academy of Science. He was named by the Australian newspaper as a “rock star” of Australia’s digital revolution. Professor Walsh is a strong advocate for limits to ensure AI is used to improve our lives. He has, for example, been a leading voice in the discussion about killer robots, speaking at the UN in New York and Geneva on the topic. He appears regularly on TV and radio. He has authored two books on AI for a general audience, the most recent titled “2062: The World that AI Made” which is available in Chinese, English, German, Japanese, Korean, Polish, Romanian, Russian, Turkish and Vietnamese.

Thank you for being part of my Youtube family! We are now a 1k fam! 🙂

2062, The World that AI Made by Toby Walsh
Travel to future with me via the book 2062 The World that AI Made by Toby Walsh- World of Homo Digitalis. AI is watching you!

You may purchase this book online using the below Amazon affiliated link:
Paperback: https://amzn.to/3bPuz6r
Kindle edition: https://amzn.to/2NS8DzJ

Toby Walsh (Professor of Artificial Intelligence, UNSW Sydney | Future of AI, AI & Robotics), Rupert Steffner (Founder, WUNDER.ai (Customer Experience, Personal Shopping)) & Viviane Hülsmeier (Co-Funder, CoPlannery (Machine Learning in Construction)) discuss about “Perspectives and Progress of AI” at hub.berlin on November 28th 2017.

hub.berlin is Europe’s interactive business festival for digital movers and makers. hub.berlin brings together key players of Europe’s leading industries, politics and 500+ startups in a unique environment to discuss, shape and experience the digital transformation.

Learn more at www.hub.berlin
www.bitkom.org
www.bitkom.org/Themen/Digitale-Transformation-Branchen/Digital-Hubs-Themenseite/
www.unsw.edu.au
https://wunder.ai/
www.coplannery.com

Robot Overlords or How I learned to Stop Worrying and Love AI.
Please enjoy this talk given by Matthew Williams to Larry Greenblatt’s CISSP class on May 24, 2018

“Conscious machines? A sober-minded approach”, talk by Dr. Susan Schneider

A sober-minded philosophical exploration of what AI can and cannot achieve

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with “tools” they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms.

At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds.

* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help you understand the positive impact of Artificial Intelligence in the healthcare domain along with practical implementation in Python. The following topics are covered in this session:

1. What Is Artificial Intelligence?
2. AI in healthcare
3. Use cases
4. Introduction to Machine Learning
5. Introduction to Deep Learning
6. Hands-On

————————————-

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

Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Slideshare: https://www.slideshare.net/EdurekaIN/

————————————-

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master’s Program Covers Topics Like:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
TensorFlow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

———————-

Prerequisites

There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

————————————–

Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our conversation, we discuss diversification of NeurIPS, with groups like Black in AI, WiML and others taking huge steps forward, trends in the fairness community, quite a few papers, and much more.

We want to hear from you! Send your thoughts on the year that was 2019 below in the comments, or via twitter @samcharrington or @twimlai.

The complete show notes for this episode can be found at twimlai.com/talk/336.

Check out the rest of the series at twimlai.com/rewind19!

Künstliche Intelligenz und Maschinen haben bis heute gezeigt, wie gut sie darin sind, zu analysieren und zu rechnen.

Dass KI auch als kreative Inspirations-Nachhilfe dienen kann, demonstrieren Roman Lipski (Künstler) und Florian Dohmann (Tech-Consultant) auf der UBX 2018. Das Ergebnis: Eine eigens entwickelte KI-Muse, die vom Unternehmen Birds on Mars programmiert wurde.

— Wofür steht UBX? —-

UBX steht für Useful Brand Experience: Unser Umgang mit Markenbotschaften hat sich verändert. Was ankommt, entscheidet längst nicht mehr der Absender, sondern der Empfänger. Was Menschen als lästig empfinden, wird ignoriert oder abgeschaltet. Und so stehen viele Marketing und Kommunikationsmacher plötzlich vor der Frage, wie sie ihre Zielgruppen in Zukunft erreichen sollen.

Die Antwort liegt greifbar nahe: Im gleichen Maße in dem sich Menschen von dem abwenden, was sie nervt, wenden sie sich dem zu, was ihnen nützlich erscheint. Will man mit Botschaften durchdringen, gelingt das am besten, wenn sie nützlich sind! Vor diesem Hintergrund organisiert Virtual Identity jedes Jahr die UBX Konferenz in München mit Speaker aus der ganzen Welt und 200 Marketing- und Kommunikationsentscheidern.

UBX Konferenz-Webseite: http://ubx.info/konferenz/

UBX Blog: http://ubx.info/

Video: Redhead Productions

Artificial intelligence (AI) is believed to be the core of the next industrial revolution, but many questions remain. How can public trust in AI? How can privacy be protected in the “big data” era? How will AI impact the labor market?
The CGTN Focus Group arrives in Shenzhen, China’s hub of technological innovation, to listen to insiders as part of our special coverage of the Boao Forum for Asia.

In this programme the world’s leading experts attempt to build an artificial human based on actress Gemma Chan, star of the sci-fi series Humans, for a ground-breaking scientific stunt that will test just how far away we are from ‘synthetic’ humans.

Could science fiction be our reality much sooner than we think?

Subscribe to Spark for more amazing science, tech & engineering videos: https://goo.gl/LIrlur 🚀

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Content licensed from DriveTV to Little Dot Studios.
Any queries, please contact us at: owned-enquiries@littledotstudios.com

#Spark #Humans #ArtificialIntelligence

The big change Artificial Intelligence is bringing applies not only to individuals but also business as well.

As machine learning systems enter the open world, their accountability becomes a high priority problem. Accountability requires deep understanding of system behavior and its failures. Characterization of failures and shortcomings is particularly complex for systems composed of multiple machine learned components. In this talk, I will discuss our work on troubleshooting and in-depth failure analysis for such systems. First, I will present a methodology for applying counterfactual analysis with humans in the loop for the purpose of understanding which component fixes are the most effective ones for a given system architecture. Second, I will describe the functionalities and tools that we have built for detailed system performance analysis and prediction. Both works will be illustrated via a real-world case study example of a machine learning pipeline for image captioning.

AI – everyone is talking about it but who is actually doing it (and generating business results). This session takes an industry by industry perspective on true AI adoption disambiguating the hype from the reality, the theoretical from the practical and the research labs from ROI.
This presentation provides:
Showcase companies getting actual real value from leveraging artificial intelligence and discuss ideas around how any company, from SMB to enterprise, can use artificial intelligence within their own business and industry.
See examples of AI working in the real world featuring the following industries:
– eCommerce/Retail
– Robotics and IoT
– Agriculture Technology
– Education

Do You Like This Video? Share Your Thoughts in Comments Below
Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops
Details Here: https://odsc.com/california/xai-west-2019

#DataScience #AI #AIBusiness #ODSC

Artificial intelligence stocks could add another $30 trillion to the economy AND your portfolio! I’m digging into the research to find the best AI stocks for your money.

Follow these and all the stocks in our 2021 Bow Tie Nation portfolio on Stockcard. Use promo code bowtienation for a special discount beyond the free trial! https://mystockmarketbasics.com/stockcarddiscount

I found the Ark Invest Big Ideas report last week and love the research on 15 innovation industries changing our world! The only problem is, there aren’t any stocks to buy. The report lays out the research and stock trends but doesn’t recommend any stocks.

So I’m going through each of these 15 hottest themes of tomorrow to analyze the research and find you the stocks to buy…and we’re starting with the biggest! Artificial intelligence is breaking into a new era of coding by machines rather than programmers. It’s about to touch every industry and you need to put this trend in your portfolio.

We’ll start with how to find AI stocks. I’ll show you how to create an AI stocks list of 71 companies to research, companies on the forefront of this revolution. I’ll then reveal how to analyze stocks of artificial intelligence companies and those five AI stocks to watch.

When you’re investing in deep learning and machine learning stocks, make sure you buy some smaller companies as well as the giant tech companies. You want some fast-growing upstarts as well as the AI leaders like Google, Amazon, and Salesforce. I like to use the screener on Stockcard to find the artificial intelligence collection but you can also look for companies with keywords like deep learning and machine learning technology. Once you start your list of AI companies, find their competitors and narrow your list for those with shares available.

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Free Webinar – Discover how to create a personal investing plan and beat your goals in less than an hour! I’m revealing the Goals-Based Investing Strategy I developed working private wealth management in this free webinar. Reserve your spot now! https://mystockmarketbasics.com/free-investing-webinar

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Joseph Hogue, CFA spent nearly a decade as an investment analyst for institutional firms and banks. He now helps people understand their financial lives through debt payoff strategies, investing and ways to save more money. He has appeared on Bloomberg and on sites like CNBC and Morningstar. He holds the Chartered Financial Analyst (CFA) designation and is a veteran of the Marine Corps.

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With Artificial Intelligence, the future is faster than you think.
Human development in just 100+ years became global and grown exponential. We are witnessing rapid growth, and exponential technologies drive it with the availability of faster and cheaper computing power. Artificial Intelligence is one such Exponential technologies that are reinventing every business model and ecosystem.
Let’s quickly revisit to understand the difference between the linear and exponential scale. If your walk is 1 meter, 30 steps of 1meter will take you 30 meters from the starting point. Whereas 30 such exponential steps lead to over 1 billion meters.

Not only in our lives, but we also see it in stocks as well. Also, in the known brands, for example, see the Netflix growth, its valuation, a decade back is linear at 2.2Billion$, and now, it is more than 300billion$.

Remember, such growth can cause disruptive stress or opportunity. For example, photos taken each year have grown exponentially and, simultaneously, analogue photos (means hard copies) have fallen exponentially.
At present we have 20B+ connected devices and more than 1 trillion sensors. It is projected another exponential growth here.
Hence, an explosion of data ahead and we are heading to data-driven AI. Companies have to transform themselves to sustain themselves in the future.

Sundar Pichia says “Artificial intelligence could have more profound implications for humanity than electricity or fire.”
Elon Musk says “Companies have to race to build AI or they will be made uncompetitive. Essentially, if your competitor is racing to build AI, they will crush you.”

Hence

“There will be two kinds of companies at the end of this decade…. …those who are using AI. …and those who are out of business.”

We started seeing AI in drone deliveries, autonomous vehicles, Flying cars, Robots, and service industries where AI beat humans on all fronts.

The decade ahead is Human-AI collaboration,

In what industries? And what are the companies which have revenues from AI-enabled streams?

If we look at the US stock markets, AI companies are well classified as a segment and operating in different sectors health care, finance, transportation, construction, manufacturing, education, etc including cross-industry tech.

When it comes to Indian stock markets,
Sectors such as FMCG, Pharma, Cement, IT, etc are well organized, here, for Artificial intelligence, there is no separate sector or segment.

I have attempted to classify 30 stocks based on the criteria of at least 40% revenue contribution from AI or AI-enabled products and services.

Valuations are always in the premium mode for AI stocks, and these stocks try to catch the exponential price curve after the end of each consolidation phase.

https://www.patreon.com/krisdom

#krisdom #krisdominvestor

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With Artificial Intelligence, the future is faster than you think.
Human development in just 100+ years became global and grown exponential. We are witnessing rapid growth, and exponential technologies drive it with the availability of faster and cheaper computing power. Artificial Intelligence is one such Exponential technologies that are reinventing every business model and ecosystem.
Let’s quickly revisit to understand the difference between the linear and exponential scale. If your walk is 1 meter, 30 steps of 1meter will take you 30 meters from the starting point. Whereas 30 such exponential steps lead to over 1 billion meters.

Not only in our lives, but we also see it in stocks as well. Also, in the known brands, for example, see the Netflix growth, its valuation, a decade back is linear at 2.2Billion$, and now, it is more than 300billion$.

Remember, such growth can cause disruptive stress or opportunity. For example, photos taken each year have grown exponentially and, simultaneously, analogue photos (means hard copies) have fallen exponentially.
At present we have 20B+ connected devices and more than 1 trillion sensors. It is projected another exponential growth here.
Hence, an explosion of data ahead and we are heading to data-driven AI. Companies have to transform themselves to sustain themselves in the future.

Sundar Pichia says “Artificial intelligence could have more profound implications for humanity than electricity or fire.”
Elon Musk says “Companies have to race to build AI or they will be made uncompetitive. Essentially, if your competitor is racing to build AI, they will crush you.”

Hence

“There will be two kinds of companies at the end of this decade…. …those who are using AI. …and those who are out of business.”

We started seeing AI in drone deliveries, autonomous vehicles, Flying cars, Robots, and service industries where AI beat humans on all fronts.

The decade ahead is Human-AI collaboration,

In what industries? And what are the companies which have revenues from AI-enabled streams?

If we look at the US stock markets, AI companies are well classified as a segment and operating in different sectors health care, finance, transportation, construction, manufacturing, education, etc including cross-industry tech.

When it comes to Indian stock markets,
Sectors such as FMCG, Pharma, Cement, IT, etc are well organized, here, for Artificial intelligence, there is no separate sector or segment.

I have attempted to classify 30 stocks based on the criteria of at least 40% revenue contribution from AI or AI-enabled products and services.

Valuations are always in the premium mode for AI stocks, and these stocks try to catch the exponential price curve after the end of each consolidation phase.

https://www.patreon.com/krisdom

#krisdom #krisdominvestor

There’s a massive bait-and-switch at the center of facial recognition technology.

Join the Open Sourced Reporting Network: http://www.vox.com/opensourcednetwork

Human faces evolved to be highly distinctive; it’s helpful to be able to recognize individual members of one’s social group and quickly identify strangers, and that hasn’t changed for hundreds of thousands of years. Then in just the past five years, the meaning of the human face has quietly but seismically shifted. That’s because researchers at Facebook, Google, and other institutions have nearly perfected techniques for automated facial recognition.

The result of that research is that your face isn’t just a unique part of your body anymore, it’s biometric data that can be copied an infinite number of times and stored forever. In this video, we explain how facial recognition technology works, where it came from, and what’s at stake.

Open Sourced is a year-long reporting project from Recode by Vox that goes deep into the closed ecosystems of data, privacy, algorithms, and artificial intelligence. Learn more at http://www.vox.com/opensourced

This project is made possible by the Omidyar Network. All Open Sourced content is editorially independent and produced by our journalists.

Watch all episodes of Open Sourced right here on YouTube: http://bit.ly/2tIHftD

Become a part of the Open Sourced Reporting Network and help our reporting. Join here: http://www.vox.com/opensourcednetwork

Sources:
“Obscurity and Privacy” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2439866
“Modern Face Recognition with Deep Learning” https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78
“Face Recognition and Privacy in the Age of Augmented Reality” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3305312
Megapixels https://megapixels.cc/about/
“FBI, ICE find state driver’s license photos are a gold mine for facial-recognition searches” https://www.washingtonpost.com/technology/2019/07/07/fbi-ice-find-state-drivers-license-photos-are-gold-mine-facial-recognition-searches/
“Are Stores You Shop at Secretly Using Face Recognition on You?” https://www.aclu.org/blog/privacy-technology/surveillance-technologies/are-stores-you-shop-secretly-using-face
“Due to weak oversight, we don’t really know how tech companies are using facial recognition data” https://www.fastcompany.com/90372734/due-to-weak-oversight-we-dont-really-know-how-tech-companies-are-using-facial-recognition-data
“Facial Recognition Service Becomes a Weapon Against Russian Porn Actresses” https://advox.globalvoices.org/2016/04/22/facial-recognition-service-becomes-a-weapon-against-russian-porn-actresses/
“Creeped out by Facebook’s algorithms? Just wait until you see this new facial recognition tool released by anonymous Russian programmers.” https://meduza.io/en/feature/2019/02/13/creeped-out-by-facebook-s-algorithms-just-wait-until-you-see-this-new-facial-recognition-tool-released-by-anonymous-russian-programmers
“How it works and why they created SearchFace – a service for searching VKontakte users by photo” https://tjournal.ru/tech/87841-kak-rabotaet-i-zachem-sozdali-searchface-servis-po-poisku-polzovateley-vkontakte-po-fotografii

Vox.com is a news website that helps you cut through the noise and understand what’s really driving the events in the headlines. Check out http://www.vox.com.

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VICE’s Elle Reeve heads to China to investigate the rise of facial recognition technology — and what that means for all of us.

This report originally aired April 13, 2018, on VICE on HBO.

Subscribe to VICE News here: http://bit.ly/Subscribe-to-VICE-News

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Learn from experts how to succeed with AI and automation. Watch the full recording of UiPath Live! https://bit.ly/3aIXwl7

See Robotic Process Automation (RPA) in action with this end-to-end invoice automated workflow powered by UiPath. Watch the robot performing the following actions:
– monitoring and reading invoices in a PDF format,
– extracting key information,
– opening and filling in invoice details in SAP,
– sending email notifications, as well as other background activities.

Discover more about what #RPA can do for your #Finance & Accounting department -http://bit.ly/2NoHnH4.

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