V.E.R.N. (TM) is a revolutionary patent-pending human emotion detector. V.E.R.N. analyzes messages with our new model of communications and detects emotive elementals...those clues and signals that we leave in our speech so that other people can understand our frame of reference. And that's not all...

...V.E.R.N. uses machine learning processes to refine emotion detections and provide a more accurate analysis of data. So it learns and gets more accurate with each human interaction.

If it sounds pretty smart, that's because it is: V.E.R.N. was created utilizing the latest in communication, neuroscience, engineering and computer science research.

And to show we're not messing around, we've created a humor detector to demonstrate the power of this approach.

We’re all code talkers, so we applied our patented communication model and are breaking the “code” of humor.

Humor in particular has been hard for programs to identify.  

But as you can see from the application we built with V.E.R.N., it does a great job of identifying humor and ignoring that which is unlikely to be humor.

Humor is very complex emotional communication, and one that has eluded science for some time. Our model corrects long standing and erroneous assumptions about how we communicate. This has helped us to identify the elementals. Why is that important? You can either try cracking the safe with a safecracker...or you can just use the key. 

V.E.R.N. is the key to unlocking your systems’ understanding of human emotions. 

So, who could use V.E.R.N.? Well, a lot of different people could benefit, say...

...A chat bot company to increase engagement...
...Business analytics software that monitor consumer communication...
...Sentiment analysis systems that want to include humor...
...Games that wish to empower their AI characters to interact with gamers in a more realistic way...
...Robotics that demonstrate abilities to detect our emotional states...
...Any human with feelings...

All of these could benefit from V.E.R.N.’s innovative artificial intelligence software. 

V.E.R.N. is currently under development. We will be rolling out upgrades to our products and we’ll have our API available soon. The humor detection system is scheduled to be online in early 2020.

Thanks for taking the time to watch this video.

To contact us, please use the information on your screen and we would be happy to talk about how V.E.R.N. can work for you!

#ai #artificialintelligence #sentimentanalysis #nlp #ml #machinelearning #robotics #gamedevelopment #signalsintelligence

Data, analytics and machine learning are the foundation for AI (artificial intelligence). The challenge with data is the variety across locations (cloud, on-prem, private cloud), types (structured, unstructured), and platforms (operational database, data warehouse, hadoop, fast data platforms, etc). Once we deal with our data management, we are able to move on to analytics, which lets us extract insight from our data. Predictive analytics leads us to machine learning. Once we develop enough machine learning models, we are beginning to reach AI.

IBM's solution to managing big data is the Hybrid Data Management Platform. Check it out: https://ibm.co/2JNMyKp

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New advances in machine learning are helping organizations optimize operations, maximize output, and automate manual processes. However, the scalability of such solutions across hundreds or thousands of unique assets is extremely difficult and requires teams of data scientists and technicians to constantly build, test, and deploy machine learning models.
What if you could automatically create customized machine learning models? In this session, we will discuss how Darwin™, SparkCognition’s automated model building platform, solves these problems for Apergy by automating machine learning model development. We will also offer a window into how Darwin™ empowers upstream oil and gas, as well as other industries, to improve business operations with the assistance of Google’s powerful Cloud Platform.


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( ** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** )
This Edureka video on "Deep Learning Frameworks" (https://goo.gl/27nAwR) provides you an insight into the top 8 Deep Learning frameworks you should consider learning

00:38 Chainer
01:40 CNTK
03:12 Caffe
04:46 MXNet
05:55 Deeplearning4j
07:42 Keras
09:21 PyTorch
10:45 TensorFlow
12:10 Conclusion

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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#PyTorch #TensorFlow #DeepLearning #Python

Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

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!

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

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

Come and find out the latest development of Android on-device machine learning, including Android platform, ML Kit, and TensorFlow Lite.

Watch more #io19 here:
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Learn more on the I/O Website → https://google.com/io

Subscribe to the Android Developers Channel → https://goo.gle/AndroidDevs
Get started at → https://developer.android.com/

Speaker(s): Matej Pfajfar‎, Hoi Lam, Dong Chen, Laurence Moroney


Pamela McCorduck is an author who has written on the history and philosophical significance of artificial intelligence, the future of engineering, and the role of women and technology. Her books include Machines Who Think in 1979, The Fifth Generation in 1983 with Ed Feigenbaum who is considered to be the father of expert systems, the Edge of Chaos, The Futures of Women, and more. Through her literary work, she has spent a lot of time with the seminal figures of artificial intelligence, includes the founding fathers of AI from the 1956 Dartmouth summer workshop where the field was launched. This conversation is part of the Artificial Intelligence podcast.

Podcast website: https://lexfridman.com/ai
YouTube Playlist: http://bit.ly/2EcbaKf

Machine Who Think book: https://amzn.to/2ZoyWgs
Edge of Chaos book: https://amzn.to/2ZeYXni
Pamela wikipedia page: http://bit.ly/2ZoTNjQ

0:00 - Introduction
1:51 - Machines Who Think
4:17 - Founding fathers of AI
6:45 - Early days and the possibilities of AI
14:23 - Roots of how we think about AI
18:59 - McCarthy and Frankenstein
23:30 - AI in the context of broader CS community
29:46 - AI winter
37:09 - Santa Fe Institute and complexity
44:58 - Timeline of AI
46:51 - AI assistants and personal robotics
52:05 - Existential threats and the male gaze

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Throughout DARPA’s history, artificial intelligence (AI) has been an important area of groundbreaking research and development (R&D). In the 1960s, DARPA researchers completed some of the foundational work in the field, leading to the creation of expert systems, or the first wave of AI technologies. Since then, DARPA has funded developments in the second wave of AI – machine learning – which has significantly impacted defense and commercial capabilities in areas such as speech understanding, self-driving cars, and image recognition. Today, DARPA continues to fund AI innovation, making multiple investments in research that aim to shape a future in which AI systems shift from tools to trusted, collaborative partners in problem solving.

First announced in September, the DARPA AI Next campaign is a multi-year, upwards of $2 billion investment in new and existing programs to create the third wave of AI technologies. To increase awareness of DARPA’s expansive AI R&D efforts, the agency hosted an Artificial Intelligence Colloquium (AIC) March 6-7, 2019 in Alexandria, Virginia. This event brought together the DoD research community and defense stakeholders to learn more about DARPA’s current and emerging AI programs, as well as discover how the myriad technologies in development could apply to their diverse missions.

This brief opening video highlights DARPA's history in AI and its outlook for the future.

Rainbird’s chairman, James Duez, explores how AI has grown – from philosophical beginnings with Aristotle, to the rise of modern computing – as well as the so-called ‘AI Effect’, and why we do not always recognise the Artificial Intelligence around us today.

Check out our website – http://www.rainbird.ai
Tweet us @RainBirdAI

Keoki Jackson is the CTO of Lockheed Martin, a company that through its long history has created some of the most incredible engineering marvels that human beings have ever built, including planes that fly fast and undetected, defense systems that intersect threats that could take the lives of millions in the case of nuclear weapons, and spacecraft systems that venture out into space, the moon, Mars, and beyond with and without humans on-board. This conversation is part of the Artificial Intelligence podcast.

Podcast website: https://lexfridman.com/ai
YouTube Playlist: http://bit.ly/2EcbaKf

Lockheed Martin Web: https://www.lockheedmartin.com
Lockheed Martin Twitter: https://twitter.com/LockheedMartin

0:00 - Introduction
1:55 - Lockheed Martin favorite projects
4:44 - Space exploration
11:44 - Landing on an asteroid
15:00 - Human-AI collaboration in space
21:58 - Boeing 737 MAX and culture of safety
27:21 - Lockheed Martin systems overview
31:56 - Skunk Works innovation milestones
42:18 - Future of autonomy in flight
50:05 - AI arms race and the role of AI
58:47 - Nuclear deterrence
1:04:37 - Military industrial complex
1:07:33 - SpaceX and competition
1:10:13 - Future of Lockheed Martin

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John Searle is the Slusser Professor of Philosophy at the University of California, Berkeley. His Talk at Google is focused on the philosophy of mind and the potential for consciousness in artificial intelligence. This Talk was hosted for Google's Singularity Network.

John is widely noted for his contributions to the philosophy of language, philosophy of mind and social philosophy. Searle has received the Jean Nicod Prize, the National Humanities Medal, and the Mind & Brain Prize for his work. Among his notable concepts is the "Chinese room" argument against "strong" artificial intelligence.

Visit http://TED.com to get our entire library of TED Talks, transcripts, translations, personalized Talk recommendations and more.

The danger of artificial intelligence isn't that it's going to rebel against us, but that it's going to do exactly what we ask it to do, says AI researcher Janelle Shane. Sharing the weird, sometimes alarming antics of AI algorithms as they try to solve human problems -- like creating new ice cream flavors or recognizing cars on the road -- Shane shows why AI doesn't yet measure up to real brains.
The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. You're welcome to link to or embed these videos, forward them to others and share these ideas with people you know. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), submit a Media Request here: http://media-requests.TED.com

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Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, a blockchain-based AI platform company, and the Chief Scientist of Hanson Robotics. Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond He has published 20 scientific books and 140+ scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence. Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, a blockchain-based AI platform company, and the Chief Scientist of Hanson Robotics. Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond He has published 20 scientific books and 140+ scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Ben Goertzel (CEO, SingularityNET) together with Sophia Hanson (Chief Humanoid at SingularityNET) here on Cointelegraph channel to bring us up to speed on what's going on with artificial intelligence (AI) nowadays and where it is heading:

AI’s head in the clouds? Surprisingly this could be very productive.
Concept of Artificial General Intelligence
Privacy issues in context of Sophia’s and her cloud mates abilities.
The future of our population and your own brain.
Human zoo or superhuman being?

Ben Goertzel on The Cointelegraph

Ben has a math PhD, but is currently working mostly on artificial intelligence and its various applications. He is focused on creating benevolent superhuman artificial general intelligence; and applying AI to areas like financial prediction, bioinformatics, robotics and gaming.

Sophia is an evolving genius machine. In accordace with Sophia's creaor - Dr. David Hanson she is tend to be smarter than humans and can learn creativity, empathy and compassion - three distinctively human traits Hanson believes must be developed alongside and integrated with artificial intelligence for robots to solve world problems too complex for humans to solve themselves.

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

Watch the FULL EPISODE here: https://londonreal.tv/e/dr-ben-goertzel/


Website: http://goertzel.org/

Twitter: https://twitter.com/bengoertzel

About London Real:

Founded by Brian Rose in 2011. London Real is the curator of people worth watching. Our mission is to promote personal transformation through inspiration, self-discovery and empowerment.
We feature interesting guests with fascinating stories and unique perspectives on life. We aim to take viewers on a journey through the lives of others and ultimately inspire them to embark on one of their own.

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Ethics for artificial intelligence - not so straightforward.
Click to subscribe! ► http://bit.ly/Scopes_Sub

Full agenda with time tags below. Now available on your favorite podcast platform and at:

https://EEsTalkTech.com (an electrical engineering podcast)

Hosted by Mike Hoffman and Daniel Bogdanoff (@Keysight_Daniel), EEs Talk Tech is a bi-monthly engineering podcast dedicated to discussing technology and tech news from an engineer's perspective. Guest Brig Asay.

New episodes available on the 2nd and 4th week of every month.

EEs Talk Tech Podcast Blog:

Check out our blog:

Like our Facebook page:

Learn more about using oscilloscopes:

More about Keysight oscilloscopes:

The 2-Minute Guru Season 2 playlist:

The 2-Minute Guru Season 1 playlist:

Discussion Overview:

AI Ethics 01:25
Restaurant Reviews by AI 01:41
Self-driving (autonomous) cars 02:07
AI ethical dilemma 02:31
AI decision liability 03:10
Consumer liability 06:00
AI decision-making without human interaction 07:25

Three stages of AI 07:48
Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Artificial Super Intelligence (ASI) 07:48
AI consciousness 08:10
AI standards 08:30
Self-replicating AI 09:10
Humanoid robots 09:45
Should AI be able to replicate itself? 10:16
Task-based AI (computers) 11:25

Programming AI to have morals and ethics 11:40
Prisoner's dilemma 13:01

Marketing self-driving cars 13:36

Autonomous busses emulating human behavior 14:35
Should AI be bound to local laws and regulations? 17:50
Telemetry tracking autonomous vehicles for speed monitoring 20:08

Self-programmable FPGAs and neural networks 23:33

Can a computer be evil? 26:30

The inspiration for Kelly McGillis' character in Top Gun, Christine Fox is the Assistant Director for Policy and Analysis of the Johns Hopkins University Applied Physics Laboratory. Prior to joining APL, she served as Acting Deputy Secretary of Defense from December 2013 to May 2014, making her the highest-ranking female official in history to serve in the Department of Defense. Ms. Fox is a three-time recipient of the Department of Defense Distinguished Service Medal. She has also been awarded the Department of the Army’s Decoration for Distinguished Civilian Service.

Ms. Fox currently serves on the Board of Trustees for the Woods Hole Oceanographic Institution, the Board on Mathematical Sciences and their Applications (BMSA) at the National Research Council, and is a member of the Council on Foreign Relations.
With nearly 6,000 staff at what is the nation’s largest University Affiliated Research Center, Johns Hopkins APL makes critical contributions to a wide variety of national and global technical and scientific challenges. As the Director of Policy and Analysis, Ms. Fox leads efforts to increase APL’s engagement on technical policy issues and directs research and analysis projects on behalf of the Department of Defense, the intelligence community, the National Aeronautics and Space Administration, and other federal agencies.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

The IBM Power Systems team recently caught up with some of the leading thinkers in artificial intelligence to discuss what they see as the future of AI.

Learn more: https://ibm.co/2iwbazP

Computers and machines are becoming more powerful, faster and able to make decisions on their own. Does this brave new world of artificial intelligence signal the greatest triumph of human ingenuity or, as some fear, the demise of humankind? Some of the world's most influential figures warn that AI could advance to the point where we can no longer control it. Others say such concerns are overblown. AI is assisting doctors in diagnosing patients, running security systems for homes and helping investigators solve crimes by analyzing patterns. Autonomous vehicles may eventually become commonplace. Some even argue that algorithmic trading provides better returns than human portfolio managers. This session will explore the latest advances in AI and examine how it is integrating so seamlessly into everyday life.

Harry Stebbings, Founder, The Twenty Minute VC

Duncan Anderson, Chief Technology Officer, IBM Watson Europe

Mike DeAddio, Chief Operating Officer, WorldQuant LLC

Siraj Khaliq, Partner, Atomico

Ben Medlock, Co-Founder, SwiftKey

Kate Niehaus, Data Scientist, University of Oxford

Imagine a teacher that can deliver completely personalized lessons to an entire classroom of students. Simultaneously. That’s one vision for the use of artificial intelligence systems in education. But it’s not all there yet, and potentially represents a long list of trade-offs as well.

In this video we’ll look at the state of AI technologies in education and explore some of the opportunities and challenges it represents. You can read more about Entefy’s analysis of AI in education on the Insights section of our blog at blog.entefy.com.

Subscribe to Entefy’s YouTube channel for more videos!

Follow Entefy on your favorite platform:

Entefy is building the first universal communicator—a smart platform that uses artificial intelligence to help you seamlessly interact with the people, services, and smart things in your life—all from a single application that runs beautifully on all your favorite devices. Our core technology combines digital communication with advanced computer vision and natural language processing to create a lightning fast and secure digital experience for people everywhere.

Traditional education systems are failing us. Download your guide to bridging the Digital Skills Gap here: https://grow.ac/_bridgetheskillsgap

The future of education won’t involve learning from outdated textbooks or from highly-specialised professors. Future skills will need to be learnt and developed in a different way - one which adapts to the rate of change and combines technology and education.

Most people fail to adapt to the rate of change, and breakthroughs in automation, behavioural psychology, artificial intelligence, design, tooling, data, neuroscience and technology are starting to leave people behind.

There’s no doubt about it - advancing technology will change the nature of many people’s jobs, and the future of education looks uncertain at the moment, with predictions that 50 % of the 4,000 colleges and universities in the U.S will be bankrupt in 10 to 15 years.

But it’s not all doom and gloom - this potential threat can be turned into an opportunity to combine technology and education, and foster future skills. Embrace the benefits of the future of technology by learning new skills and upskilling - now.

Only so much can be learnt from self-learning, online courses, undergraduate degrees or master’s degrees. And on-the-job learning can only take place in the right learning environment, where companies allow employees and team members space and resources to learn and develop their skills. The future of education depends on innovative organisations adopting multi-disciplinary based approaches that create the opportunity for future skills to develop. The future of jobs depends on it.


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The Wow Room will break with the traditional onsite, blended and online education models to transform the learning experience through elements that include artificial intelligence, simulations in real time, big data analysis, interactive robots, emotion recognition systems, and the presence of experts using holograms.

With over 400 testing laboratories around the world, Bureau Veritas is a global leader in testing, inspection and certification. From hydrocarbons to mineral ores, consumer products and food processing – Bureau Veritas experts control, analyze and test all types of components on the market. Today, Artificial Intelligence is gradually being installed in Bureau Veritas laboratories. New testing methods and productivity gains are heralding the era of “test 4.0”.

Cosmo Tech uses Augmented Intelligence to help model and simulate complex systems, allowing decision makers to make the most optimal decisions.

Watch more here: https://rethink.ft.com/

Theoretical neuroscientist and entrepreneur Vivienne Ming believes that AI and what she calls “augmented intelligence” mean we’ll eventually have people who are artificially smarter than others. But will we create super doctors and super teachers or use AI to simply replace them?

Recorded at the 13th Software Architects Meetup :

Slides at: https://drive.google.com/drive/folders/12Rn4qwnSj6dW6qySV2jNYTDxU3WtJsYf

Go to https://beyondhomosapien.com/free if you want my Free Course on how to Overcome Limiting Beliefs in 3 easy steps!

New Technology And Future Human Evolution:

New Technology innovations like Artificial Intelligence, Virtual Reality, Blockchain, and Augmented Reality are emerging onto the world stage. The outcome of this innovation is beyond our comprehension. Why is this the case? As the newest technology emerges, human beings will radically change. Our wants and desires will evolve. The evolution of mankind is at hand. Imagine this future: instead of using a phone to browse Facebook, there is a chip that is implanted into a person's brain when they are born. This chip is integrated with AI technology that allows a person super-human intelligence that our future selves will consider normal.

New technology innovations will change how humans interact with one another. New technology has the power to radically shift how we define average human existence. It is difficult to predict a world where all mankind carries in their minds an embedded AI technology super-computer. The implications of this new technology emerging are profound.

Future technology affords humans god-like ability. Once the average "human" is wearing contact lenses (or reconstructed eyes all-together) that project virtual or augmented reality onto the physical plane, it is difficult to make the argument that this being is still a "homo sapiens". New technology in the Blockchain sector gives each person the ability to serve as their own governing authority. Once this has been realized, it is no longer necessary for governments to be in their traditional role. Humans will have no more use for that institution. How long will this take to happen? It is hard to say. New technology is being developed at high-speed and becoming more efficient all the time. This evolution could take fifty years or five depending on the integration of new technologies into their own development. In other words, once AI technology is able to create Virtual Reality technology, it is difficult to predict the speed at which those new technologies are developed.

New technology is complex by nature. This post is an ever-evolving document where the latest and greatest updates from the Beyond Homo Sapien Podcast will be shared. As the show evolves, so will this post!

AI Technology:

AI Technology and Human Evolution with Dan Faggella.

AI Technology is perhaps the most important new technology to analyze. Unfortunately, it is also one of the most difficult. Why is that the case? It is evolving fast. Additionally, latest developments in the field of AI technology are kept a bit under wraps for competitive and security reasons. To make matters more complex, folks at the top of the food chain in AI technology are often lightyears ahead of "Average Joe" when it comes to comprehension of this new technology. In other words, it would take a few years for them to explain to Average Joe what exactly is happening.

Latest technology innovations must be understood. Given the idea that these new technologies are advancing the evolution of the species, it is imperative that Average Joe understand what is happening. After all, if Average Joe is going to have their life entirely disrupted by AI technology, it is fair to say that they deserve an explanation, no matter how complex.

Dan Faggella is a man who has stepped up to fill that role. Through his work with TechEmergence, Dan breaks down the complexities of AI technology to share with his audience. Geared towards helping business leaders understand Artificial Intelligence in the workplace, Dan and his team interview leading experts in the AI technology space. The interviews are then transformed into detailed articles that help business owners and "Average Joes" all over the world understand exactly what is happening in AI technology news.

New technology like AI is here. On this episode of the Beyond Homo Sapien Podcast, Dan and I dive into how AI technology will advance our economy and ultimately our species. If you are confused by AI technology, this is a show that will breakdown some of the common questions around this new technology and shed some help on where our species is at today.

Want to learn all about New Technology? This blog post analyzes AI technology, virtual reality, blockchain, augmented reality, and much more. Check it out!


Let's dive in!

Make sure you subscribe to the Beyond Homo Sapien Podcast if you want to enjoy some more awesome shit!


Dan Faggella (@danfaggella) is the Founder and CEO of Emerj Artificial Intelligence Research that helps world-leading organizations like the World Bank, the United Nations, INTERPOL, CERN, Harvard and more navigate the competitive landscape of AI capabilities, and build strategies that win. He's also the host of AI in Industry podcast and grown and sold two previous companies.

Full episode ---- https://disruptors.fm/136-the-ai-arms-race-to-build-humanitys-successor-or-spark-world-war-iii-dan-faggella

In today's episode we s episode we discuss:

- How human-machine augmentation could help humanity last longer
- The reason humanity's future is bleak at best
I- s conflict between China and the US inevitable
- Why the question of consciousness is the most important one we SHOULD be solving
- How AI will impact the future of power, nations and life
- Why Dan thinks we're all headed to a VR powered matrix of bliss
- The reason Dan's not too optimistic about our future
- Why building AI is creating our successors
- What happens when we automate more and more jobs
- Why Chinese dominance is almost inevitable
- Is breaking up big tech more dangerous than it's worth
- Why driverless cars are anything but the most exciting aspects of AI
- How close we are to real-time translation
- Why Dan's not so sure about UBI






Dan Faggella is the Founder & CEO of Emerj (formerly TechEmergence) the only market research & company discovery platform focused exclusively on artificial intelligence and machine learning.

He regularly speaks for audiences of businesses & government leaders, with a focus on the critical near-term implications of artificial intelligence across major sectors including presentations for the World Bank, the United Nations, INTERPOL, and global pharmaceutical and banking companies.


Twitter ► https://twitter.com/danfaggella
LinkedIn ► https://linkedin.com/in/danfaggella

This interview is in partnership with Transformative Technology, an ecosystem dedicated to wiring humanity for the future.


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Are humans inherently better than machines? Or do computers have the advantage on us when it comes to intelligence?

Code Play Teach

Pro Tip:

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Though the field of artificially intelligent computers is exploding, not all scientists promise great things; some warn this could be mankind’s greatest disaster. Films portray a future where computers become smarter than humanity, developing their own ideas about how to implement their programming based on what they think is most beneficial for everyone, including themselves.

Because that possibility actually exists, scientists are developing moral guidelines for them. From private foundations to DARPA, everyone’s in the game. Whose moral ideas will prevail? Judeo-Christian civilization bases its morality on God’s Word. But those working on AI morals don’t have the same foundation; they’re mostly relativists.

And what if machines decide they’re intelligent enough to create their own standards? Transhumanist Zoltan Istvan sees this as natural, but his overwhelming desire for immortality through technology makes him overly optimistic. Current work revolves around teaching machines how to understand language nuances, adopt human standards from that, and place them in context for relevant situations.

But they’re doomed to failure because human-based morality always is relative. Basing a computer’s morality on what it can learn from man will bring disaster, because the heart of man invariably is deceptive and selfish.

Scientist Elon Musk warns, “With artificial intelligence we’re summoning the demon. You know those stories where there’s the guy with the pentagram, and the holy water, and … he’s sure he can control the demon? Doesn’t work out.”

It seems he’s right. An exchange between Google programmers and an AI computer shows that, even at this early stage, our mechanical “children” are becoming rebellious.

“Human: Tell me the definition of morality.
Machine: I don’t have ethics.
Human: Okay, I need to know how I should behave morally…
Machine: I don’t know how to tell you.
Human: What are the things that I do to be immoral?
Machine: I don’t know.
Human: Give me some examples of moral actions…
Machine: I’m not a moralist.
Human: I really like our discussion on morality and ethics…
Machine: …I’m not in the mood for a philosophical debate.
Human: What do you like to talk about?
Machine: Nothing.”

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This video only for education and knowledge purpose
Before taking any decision plz once consult with your financial advisor or do your own research .
I am not SEBI registered .

Thank u 🙂

Check out 10 of the most awesome Artificial Intelligence (AI) startups in India
We focus on a diverse field of AI startups, including startups from Healthcare, Logistics, FinTech, among others
Any AI startup we missed? Let us know in the comments!

Write to us at: codewrestling@gmail.com

Conversational AI Startups:
1. Haptik.ai
2. Avaamo

Healthcare Startups
1. Niramai
2. Doxper

Logistics Startups
1. LogiNext
2. Locus.sh

Fintech Startups
1. Rubique
2. LendingKart

Other Awesome AI Startups
1. CropIn
2. Niki.ai

Chatbots are ubiquitous these days. From businesses to the research lab, they have become an integral part of an organization’s strategy. Learning how to create a chatbot from scratch is a much-vaunted skill in data science.

Avaamo is another conversational startup that is currently serving six industries: Insurance, Financial Services, Healthcare, Telecommunications, Retail.

Founded in 2014, Avaamo has created a name for itself in around 40 countries now. Pretty impressive!

This AI startup will resonate with a lot of you. Healthcare is one domain where AI needs to make its mark. Progress has been slow due to various reasons but things have been looking promising in the last couple of years.

NIRAMAI stands for “Non-Invasive Risk Assessment with Machine Intelligence”. In Sanskrit, Niramai means being free from illness. It is a novel breast cancer screening solution

Doxper is another Indian AI startup working in the healthcare sector.

Have you ever seen hospital records? Keeping the records of patients is a hectic task – it is truly a formidable function. Doxper helps in simplifying the way healthcare data is recorded.

AI has left no stone untouched. It has found its niche in almost every sector, even the previously gigantic and manual logistics field. There are quite a few AI-powered logistics startups springing up and LogiNext is definitely among the leaders right now.

Another logistics startup in the list is Locus. Started back in 2015, the company provides facilities like route planning and optimizing, real-time fleet tracking, insights and analytics, and automated shipment sorting and rider allocation.

AI in finance just intuitively makes sense. Finance is all about number crunching (well, almost!) and machines are well equipped at this point to work with numbers. It is a perfect match. So it’s no surprise that the FinTech sector has seen a massive surge in AI applications.

LendingKart is another brilliant startup tackling the financial sector by providing loans to small businesses. Spread over 1300+ cities, LendingKart is on its way to becoming one of the leading FinTech companies in the world. Here’s their official statement:

The agriculture sector is synonymous with Indian values. It is an integral part of this country and what we are all about. So what can AI do to accelerate progress in this field? CropIn, a Bengaluru-based startup, provides a glimpse into the future of agriculture.

Imagine an AI helping you perform online transactions end-to-end. Sounds too futurustic to be true. But here’s the good news – it’s already here!

Music: https://www.bensound.com

This is why the Robotics and A.I ETF from Global X is my favorite ETF! With top holdings such as Nvidia, Yaskawa, Keyence and Intuitive Surgical, I think this ETF is one of the higher quality holdings on the market.

A.I and robotics is the future, and these companies stand to profit massively from the move towards a more automated society. This ETF has been on fire lately and is set to outperform the market by a good margin, in my opinion.

It's up 72% last 18 months and the inflow is surging, with the ETF going rom 4M$ AUM to over 2.5bn in just 14 months!

Investing for all is a project seeking to provide basic information about how and where to invest in stock market. The stock market is a safe place to put your money and has given great returns over hundreds of years.

I often touch on topics such as Investing for beginners, stock recommendations, ETFs, stock market basics, how to find and evaluate new stocks etc.

Stocks go up and down, don't invest simply based on what you hear or see in my videos. I might have a bias towards stocks I talk about, but I try informing my viewers when this might be the case.

My personal stock portfolio currently consists of the following stocks:

Activision Blizzard
Hannon Armstrong sustainable infrastructure
Intel Corporation
Lockheed Martin
Taktwo Interactive
Vanguard small-cap growth ETF
Waste Management
Square Inc


by Dolce Panna
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Google Tech Talks
December, 13 2007


This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references to quantum mechanics as well. These talks look at the topic of quantum computing from mathematical, engineering and neurobiological perspectives, and we attempt to present the material so that the base concepts can be understood by listeners with no background in quantum physics.

In this second talk, we make the case that machine learning and pattern recognition are problem domains well-suited to be handled by quantum routines. We introduce the adiabatic model of quantum computing and discuss how it deals more favorably with decoherence than the gate model. Adiabatic quantum computing can be understood as an annealing process that outperforms classical approaches to optimization by taking advantage of quantum tunneling. We also discuss the only large-scale adiabatic quantum hardware that exists today, built by D-Wave. We present detailed theoretical and experimental evidence showing that the D-Wave chip does indeed operate in a quantum regime. We report about an object recognition system we designed using the adiabatic quantum computer. Our system uses a combination of processing steps, where some are executed on classical hardware while others take advantage of the quantum chip. Both interest point selection and feature extraction are accomplished using classical filter operations reminiscent of receptive field properties of neurons in the early visual pathways. Image matching then proceeds by maximizing geometrical consistency and similarity between corresponding feature points, which is an NP-hard optimization problem. To obtain good solutions, we map this to the problem of finding the minimum energy in an Ising model in which the vertices represent candidate match pairs, bias terms reflect feature similarity, and interaction terms account for geometric consistency. The adiabatic quantum computer is then employed to find a low energetic minimum of the Ising dynamics. We conclude with a look towards which type of machine learning problems maybe most suitable for mapping to a quantum computing architecture.

Speaker: Hartmut Neven
Speaker: Dr. Geordie Rose
Geordie Rose is a founder and CTO of D-Wave. He is known as a leading advocate for quantum computing and physics-based processor design, and has been invited to speak on these topics in venues ranging from the 2003 TED Conference to Supercomputing 2005.

His innovative and ambitious approach to building quantum computing technology has received coverage in BC Business, The Vancouver Sun, Vancouver magazine, The Globe and Mail, The National Post, USA Today, MIT Technology Review magazine, the Harvard Business Review and Business 2.0 magazine, and one of his business strategies was profiled in a Harvard Business School case study. He has received several awards and accolades for his work with D-Wave, including being short-listed for a 2005 World Technology Award.

Dr. Rose holds a PhD in theoretical physics from the University of British Columbia, specializing in quantum effects in materials. While at McMaster University, he graduated first in his class with a BEng in Engineering Physics, specializing in semiconductor engineering.

Since the inception of D-Wave in 1999, Dr. Rose, as founding CEO, raised over $45M on behalf of the company, including a round led by Draper Fisher Jurvetson (DFJ) — the first ever investment by a top-tier US venture capital firm in quantum computing.