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A summary analysis of human implemented, Earth based “AI”. And, non-human, off-planet, machine consciousness “AI”. The reality of it, its differences. (More)

Serious Science –
Philosopher David Chalmers on artificial intelligence in movies, consciousness of computers and moral rights of artificial intelligence systems (More)

Computational theories of the mind seem to be ideally suited to explain rationality. But how can computations be subverted by meaning, emotion and love? (More)

Reference (More)

Artificial You: AI and the Future of Your Mind, Princeton University Press
Author Susan Schneider Interview – BBC World News America, 10/1/19 (More)

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The hard problem of consciousness, as coined by the philosopher David Chalmers, asks: Why must we be conscious? Given that the brain is an information processing engine, why does it need to feel like anything to be us? (More)

Dan Faggella founded a Brazilian Jiu-Jitsu Academy to pay for college and grad school which sparked the idea for his eCommerce business, Science of Skill. Science of Skill was created for the sole purpose of eventually selling it and using the exit money to fund an artificial intelligence market research company. He grew Science of Skill past $2 million in revenue, sold it in 2017, and TechEmergence was born completely funded by the exit. If you listen, you will learn: How recurring revenue helps the value of your business Importance of finding a marketing channel that ensures consistent profitability and growth Having key employees that can run the company without the owner can increase the value of the company and provide for a smoother transition/exit Importance of knowing how the processes of your company tie into growth and profit How to figure out and analyze the core metrics of your business Finding the right broker makes a ton of difference when selling a business Building Up Science of Skill Dan went from owning a physical Jiu-Jitsu gym to starting an eCommerce business. He started taping the Jiu-Jitsu seminars he was giving in person and putting them on the internet. He took the curriculum he used and studied himself and turned the videos, information, and skill development exercises into monthly subscription based lessons which would allow the company to have recurring revenue. “I had it impressed on me early on that recurring revenue is a good thing. Recurring revenue is going to help you sell for a higher margin. Recurring revenue is going to give you less nightmare than businesses that don’t have recurring revenue. The only reason I was able to sell that gym was because it was recurring so I think that lesson kind of traveled over. I transferred that to an online business model I could run from anywhere,” explains Dan. The Jiu-Jitsu videos and information quickly extended out into general self-defense and self-protection lessons which attracted a broader audience to Science of Skill making the company more diverse and valuable to a buyer. Starting With The End In Mind TechEmergence was always the goal at the end of the tunnel. Dan wanted to start a purpose led business in AI technology by growing and selling something highly profitable. He spent half his time giving Ted Talks, writing articles, and building a media business around artificial intelligence and spent the other half of his time selling self-defense materials on the internet. Dan wanted to sell Science of Skill quickly to fund his AI research company. He thought it would take a year or so and ultimately, it took over three years. He didn’t realize when founding the eCommerce business that it would be so difficult to sell. “I thought I am going to flip this bad boy and call it a day,” says Dan. Dan was under what he calls a “naïve belief” that he would be able to sell the company easily. In reality, he had to grow the company for four years before a bank would facilitate a seven-figure transaction. The banks required three years of tax returns and valuations. “Banks don’t like stuff that involve the internet,” says Dan. He did find a buyer who had previous experience in the eCommerce space with a bank that backed them. They purchased Science of Skill in early 2017. It was three years longer than what Dan originally planned and was anxious to get TechEmergence going on more of a full-time basis.  Lessons Learned Dan learned a lot throughout the process of starting and selling his eCommerce business. Not only shouldn’t you expect to sell a small company a year after founding it, you also shouldn’t expect a “glamorous exit” unless you have a strategic buyer in your space, proprietary list, or something more than just your cash flow. “One of those naïve notions was that we could get some decent multiple of profit to sell the company. It is unusual for a small business to sell for that much more than 3X profit,” says Dan. Another lesson was that finding the right broker makes a ton of difference. The broker Dan dealt with had previously sold similar eCommerce businesses for around what he hoped for with his exit. Two of Dan’s biggest takeaways that allowed him to successfully scale and exit Science of Skill involved marketing and his team. Figuring out the marketing channel that worked for them was extremely important for growth. They invested heavily in marketing once they nailed down that email marketing was their channel. The next biggest takeaway was the importance of training a good team. “The owner shouldn’t be the guy responsible for bringing money in the front door,” says Dan. Training his team to be able to know and do everything he could allowed him to step away from the company and use his exit money to fund his next venture that had been brewing since the beginning. Contact Information and Bio for Dan: LinkedIn: Twitter:… (More)

Artificial Intelligence in Industry with Dan Faggella Apr 29 2018 Podcast
Artificial Intelligence in Industry with Dan Faggella Apr 29 2018 Show (More)

Episode 27. This month I’m joined by Dan Faggella of Emerj to chat about AI events, our post-human trajectory, AI ethicists and their possible higher position, conversations with governments and advising companies on the best uses of AI. (More)

Join Daniel Faggella, CEO of Emerj Artificial Intelligence Research (, on bringing crucial AI research to investors and law enforcement alike to create essential frameworks – from media formats to regulatory guidelines and gradients of punishment – that deal with the shift in audio and visual contents, from artifacts of real things in the past, to tinkered content which can range from simple pranks to deepfakes that can affect stock markets, politics, and global security (More)

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Can computers help diagnose depression? Louis-Philippe Morency, from Carnegie Mellon University, thinks they can. He’s been working at enabling machines to understand and analyze subtle human behavior that can betray sadness and happiness. In this video for the World Economic Forum, Morency introduces SimSensei – a virtual human platform specifically designed for healthcare support – and explains why he hopes future intelligent machines will work alongside doctors as colleagues. (More)

Are machines getting smarter than us? With greater computational power and ever more sophisticated artificial intelligence comes a whole new way of understanding the world. Now that our machines are capable of analysing data from so many different sources, taking into consideration countless variables and possibilities, it is becoming increasingly difficult for humans to understand how they come to their conclusions. How will we cope when machines understand the world better than us, and make better decisions than we can?
We’ve always been engaged in the pursuit of knowledge, believing that studying the world will lead to us a better understanding of how it works, so will we be happy to not ‘know’? This signifies a change in our basic model of the future, representing a shift away from simple cause-and-effect models to larger, more complex models.
As the guest in this Live Show puts it, “The world didn’t happen to be designed, by God or by coincidence, to be knowable by human brains. The nature of the world is closer to the way our network of computers and sensors represent it than how the human mind perceives it.” Join us to hear more from David Weinberger about how the nature of knowledge has shifted, and what we should do about it. (More)

Technological Singularity in 2045 – Get Ready – This is what the future may be like.
Ray Kurzweil is a famous futurist who has been right about 90% of the time. He is such a visionary that in 2012 Google hired him to be their Director of Engineering. He predicted the rise of the internet over 30 years ago, in 1984,when most people had never even heard of it. And he even predicted its widespread use via wireless technologies in the 21st century. Ray was labelled “crazy” at the time. He has some “crazy” predictions for the next 30 years including the “Singularity” – which will change everything. (More)

When and how will AI come to life? How will we know it’s conscious? Which part of you is consciously reading this? Could the internet already have some level of consciousness? And how anonymous google employees could save us. (More)

Practical fusion power, as the joke goes, has been “decades away…for decades.” But recent advancements in advanced algorithms and artificial intelligence promise to speed up the slow, slow progress towards a fusion-powered utopia. We visit one company that’s using machine learning to try and crack the code on fusion once and for all. (More)

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

This episode is all about taking your AE2 game to the next level. We’ll cover Quantum Link chambers which allow you to transmit your network wirelessly over an infinite distance, even cross-dimensionally! We’ll also dabble in a little bit of sub-networking but the majority of the video is devoted to the power of P2P tunnels which allow for some seriously compact setups. (More)

An AI learns to park a car in a parking lot in a 3D physics simulation. The simulation was implemented using Unity’s ML-Agents framework ( The AI consists of a deep Neural Network with 3 hidden layers of 128 neurons each. It is trained with the Proximal Policy Optimization (PPO) algorithm, which is a Reinforcement Learning approach. (More)
Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining.
While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: (More)

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In this video, we’ll make a super simple speech recognizer in 20 lines of Python using the Tensorflow machine learning library. I go over the history of speech recognition research, then explain (and rap about) how we can build our own speech recognition system using the power of deep learning. (More)

Google Voice Recognition for Google Docs. Talk instead of typing. Learn to use Google Voice for Google Docs as well as the current known Google Voice Commands. (More)

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. (More)

DIY Home Security – New Video: (More) – If you still don’t think Windows 7 is cool, wait till you see the speech recognition! (More)

Futurist Ray Kurzweil deliver keynote speech on MKSVF, MaeKyung Silicon Valley Forum. In his speech he predict how human intelligence merge with computers and longevity of human life. (More)

TITAN V has the power of 12 GB HBM2 memory and 640 Tensor Cores, delivering 110 TeraFLOPS of performance.
CEO Jensen Huang’s GTCJapan keynote on Dec. 13th, 2017 (More)