What is Artificial Intelligence? It's a big part of our daily lives and you want to know. You need to know. But the explanations are so long and boring. Let me give you something short and sweet.
Join me, Dr. Peper, for 5 minute, pleasing, and easy to understand flash talks about everything artificial intelligence. Short and Sweet AI.
Personal Data as Private Property
Is it time we regained control of our data and found new and better ways to protect it?
You and I know that the social media platforms and internet sites we visit collect data on us. In many ways, they monetize our data and use it as a product that can be purchased.
In this episode of Short and Sweet AI, I talk about personal data as private property and whether there is a way for us to choose who gets to use our data.
In this episode find out:
The true value of data
Whether we should get paid for our data
Who Professor Song is
How Professor Song and her company “Oasis Labs” are working on a system that could potentially help users protect their data and even get paid for it
How you could potentially make your data your private property
Professor Song’s vision for the future and why she believes that we should get revenue by sharing our data
Important Links and Mentions
https://www.oasislabs.com/ (Oasis Labs)
https://drpepermd.com/podcast-2/page/4/ (Are Machine Learning and Deep learning the Same as AI?)
https://www.wired.com/story/dawn-song-oasis-labs-data-privacy-wired25/ (Oasis Labs' Dawn Song on a Safer Way to Protect Your Data)
https://www.nytimes.com/2019/11/19/technology/artificial-intelligence-dawn-song.html (Building a World Where Data Privacy Exists Online)
https://www.aitrends.com/data-privacy-and-security/get-paid-for-your-data-reap-the-data-dividend/ (Get Paid for Your Data, Reap the Data Dividend)
https://medium.com/oasislabs/giving-users-control-of-their-genomic-data-e9ae8685d9ca (Giving Users Control of their Genomic Data)
https://www.wired.com/video/watch/oasis-labs-dawn-song-in-conversation-with-tom-simonite (Oasis Labs' Dawn Song in Conversation with Tom Simonite)
https://www.youtube.com/watch?v=eMh5YqKopjE (deeplearning.ai's Heroes of Deep Learning: Dawn Song)
https://www.npr.org/2019/09/18/762046356/u-s-military-researchers-work-to-fix-easily-fooled-ai (Computer Scientists Work To Fix Easily Fooled AI)
From Short and Sweet AI, I’m Dr. Peper, and today I want to talk with you about personal data as private property.
You and I know that social media platforms and internet sites we visit are collecting data on us. We know they’re selling our data to advertisers. I mean, that’s their business model. They provide a platform for us to connect with each other and we give them our personal data as payment. Data is valuable. Data is the new oil. It brings in billions of dollars of income for Google, Facebook, Instagram, Amazon, and countless other companies. When we’re online and we click on a pop-up that says “accept”, we’re essentially giving away our personal information to that company. And do we really have a choice? You either have to accept the terms or you’re not allowed to use that site.
Well, what if we could be paid for our data, what if we could determine who gets data about what sites we visit, what apps we use on our phones, what physical locations we go to, what conversations we have, basically what if we could be paid for all the information companies are gathering on us now on a daily basis. And what if we had a system that only provides our data to who we say with great privacy protection using the security of a block chain type technology. Enter Professor Dawn Song and her company Oasis and we are one step closer to that reality.
Professor Song is considered to be one of the world’s expert on computer security. She is a Mac Arthur “genius’ recipient and a professor at UC Berkley. Much of her work is in the area of machine learning which I’ve talked about in a previous podcast and in adversarial AI. Adversarial AI is the study of how computer systems are hacked to transmit the wrong information.
While still a graduate student at Berkeley, her research drew attention for showing machine learnin
In this exciting episode of Short and Sweet AI, I talk about the recent update that Elon Musk gave on his company Neuralink – including how and why his team implanted a coin-sized computer chip in a pig’s brain to create a brain-to-machine interface.
In this episode find out:
What Neuralink is
How the Neuralink chip device works
How Neuralink works when implanted in a pig’s brain
What the future holds for Neuralink and how it may be able to help cure serious health conditions
Important Links and Mentions:
https://drpepermd.com/2019/12/20/cyborgs-among-us/ (Cyborgs Among Us)
https://www.wired.com/story/neuralink-is-impressive-tech-wrapped-in-musk-hype/ (Neuralink Is Impressive Tech, Wrapped In Musk Hype)
https://www.cnbc.com/2020/12/05/elon-musks-neuralink-bold-ideas-hurdles.html (Elon Musk’s brain-computer interface company Neuralink has money and buzz, but hurdles too)
https://www.youtube.com/watch?v=EPUHsnN9R9I (How Neuralink Works)
https://www.youtube.com/watch?v=vxehbGLoar8 (Neuralink Update (2020) - Highlights in 7 minutes)
The Godfather of AI
What does it take to be the godfather of AI? And, how does someone come to obtain such a legendary title?
In this episode of Short and Sweet AI, I talk about Geoffrey Hinton, a neuroscientist, computer scientist, and the man Google hired to make AI a reality. In many ways, we have Geoffrey Hinton to thank for developing modern AI and deep learning. It is thanks to him that deep learning has become mainstream in the field of artificial intelligence.
So, how did Geoffrey Hinton rise to become the godfather of AI? Watch this video to find out!
In this episode find out:
How Geoffrey Hinton became the godfather of AI
Why Geoffrey Hinton believes machines need to think the way humans do
Understanding how deep neural networks replicate how the brain processes information
How deep learning became mainstream after 30 years in the wilderness
How deep learning became AI's "lunatic core"
Important Links and Mentions
https://podcasts.apple.com/us/podcast/short-and-sweet-ai/id1485901155?i=1000455695336 (Are Machine Learning and Deep Learning the same as AI?)
https://www.youtube.com/watch?v=zl99IZvW7rE (Geoffrey Hinton: The Foundations of Deep Learning)
https://www.youtube.com/watch?v=rkiWi4Pdmzc (Geoffrey Hinton: “Probably machines will get smarter than people in almost everything”)
https://www.wired.com/2014/01/geoffrey-hinton-deep-learning/ (Meet the Man Google Hired to Make AI a Reality)
https://www.nytimes.com/2019/03/27/technology/turing-award-ai.html (Turing Award Won by 3 Pioneers in Artificial Intelligence)
The End of Moore's Law and Why It's Important
Moore's Law is coming to an end, and many people don't know how to feel about it. In fairness, the end of Moore's Law is not something that crept up on us out of nowhere. Industry experts predicted the termination of Moore's Law years ago. They observed its gradual decline and forecasted a grim future for Moore's Law that has since proved to be an accurate calculation.
But the question remains… why is Moore's Law ending? And why should you care?
I'm kicking off the start of the year with a Short and Sweet AI podcast episode that focuses on endings. That is, the end of Moore's Law and why it matters. As always, I focus on AI in simple terms so that whether you're new to AI or a seasoned pro, you can follow along fully immersed!
In this episode find out:
What Moore’s Law is, who created it, and why it is so important
How Google's big "OMG" moment led to the end of Moore’s Law
What a Tensor Processing Unit (TPU) is
Why TPU is the “Helen of Troy” of AI
What could replace Moore’s Law in the future
Important Links and Mentions
https://podcasts.apple.com/us/podcast/short-and-sweet-ai/id1485901155?i=1000466624000 (5G: Fifth Generation Wireless. What is it?)
https://podcasts.apple.com/us/podcast/short-and-sweet-ai/id1485901155?i=1000466990763 (What is Edge AI or Edge Computing?)
https://podcasts.apple.com/us/podcast/short-and-sweet-ai/id1485901155?i=1000472950901 (What is Quantum Computing?)
https://www.eye-on.ai/podcast-archive (Eye on AI: The Podcast)
https://www.wired.co.uk/article/wired-explains-moores-law (What is Moore's Law? WIRED explains the theory that defined the tech industry)
https://computer.howstuffworks.com/moores-law5.htm (How Moore’s Law Works)
https://kids.kiddle.co/images/0/00/Transistor_Count_and_Moore%27s_Law_-_2011.svg (Microprocessor Transistor Counts 1971-2011 and Moore's Law)
What is Quantum Computing? part 2
From Short and Sweet AI, I’m Dr. Peper and today I’m discussing more about quantum computing.
Regular computers use a binary system of ones and zeros or bits. Quantum computers use quantum bits or qubits which exist in superposition and make them very powerful. Quantum computing is a very different technology from anything we’ve seen because qubits can exist in two states at once. They can be like a coin that is spinning and is both heads and tails at once. In order to explain how this could exist, quantum computing which is based on quantum physics has created theories of the existence of parallel universes. In a parallel universe you could have a coin be heads and in a separate parallel universe, it could be tails. Yeah, this stuff gets pretty crazy, very fast.
In the previous podcast I talked about the super powerful state of superposition. And I talked about entanglements where multiple qubits are physically separated but act like they’re entangled and give similar results. Added to that is this is all taking place in a computer which looks like a fantastic chandelier, made that way in order to create very cold conditions similar to outer space. Absolute zero, outerspace.
But are quantum computers a reality? There are many groups all over the world working on this technology: IBM, Google, Intel, the Chinese government, the US government, private start up groups such as Rigetti Computing and more. All these groups have been working feverishly for the ultimate breakthrough. Then in 2019 Google announced its’ quantum computer had solved a mathematical problem in 3 minutes 32 seconds. It would have taken the most powerful, existing supercomputer more than 10,000 years to solve the problem. That’s the difference in magnitude and power between a regular supercomputer and a quantum computer.
As the scientists explained, the answer to the problem wasn’t important, it really didn’t do anything. But what the Google quantum computer accomplished was the same as the Wright brothers first plane flight. It showed that quantum computing was really possible even though its true potential is years in the future.
What’s holding the technology back? Well, quantum type problems. Qubits are very sensitive and must be shielded from heat, electrical interference, and other metals, and cooled down to just above absolute zero in order to complete their calculations. And you need at least 50 qubits to have a quantum computer but groups of qubits are very fragile and can fall apart or de-cohere. This leads to errors in the calculations.
Scientists are confident they will solve these problems in the next decade and then we will really see what these computers can do. That goes back to how qubits work. They’re very powerful because they can deal with uncertainty. And that’s how the laws of atoms and subatomic particles called quantum physics work. In nature, things smaller than the atom are not always on or off. They don’t follow the laws of larger things in nature such as gravity, relativity or E equals MC squared. With regular computers if you want to solve a maze, it will go down every single path, one after the other, until it finds the right one. A quantum computer works by the laws of subatomic particles and goes down every path at once because it can operate with uncertainty; it can hold each alternative path as a possibility.
Technology this powerful can be used to simulate large complicated problems with uncertainty such as forecast financial markets, find better products such as batteries for self-driving cars, new drugs for medications, or even using quantum computing to understand quantum physics. And cryptography will be saved by quantum computing. New quantum encryption uses the uncertainty principle where everything influences th...
What is Quantum Computing?
From Short and Sweet AI, I’m Dr. Peper and today I’m talking about one of the most challenging ideas I’ve ever discussed, quantum computing.
Quantum computing excites and perplexes me. It has all these strange, science fiction parts to it such as superposition, entanglement, parallel universes, yes, I said parallel universes, temperatures as cold a deep space, well, just above absolute zero really, and of course qubits. And quantum computers have been described as looking like steampunk chandeliers.
Quantum Bits = Qubits
Let’s start with qubits. In traditional computers, information is coded as binary units which are either ones or zeros and referred to as bits. They’re like tiny switches that can be either in the off position, represented by a zero, or in the on position, represented by a one. Computers are made up of millions of these bits in some combination of ones and zeros. This binary system is how our phones, apps, websites and the internet work. Quantum computing is completely different. It involves a philosophical leap really. It involves the idea that a single object can be in two states at the same time, so it can be a one and a zero at the same time, or it can be on and off at the same time. I know, it sounds crazy.
Take a coin for example, if you flip a coin, it can be either heads or tails. But during the flip, the coin is spinning and is in both states at once, heads and tails at the same time. This is called superposition. Quantum computing stores a combination of one and zeros in both states, on and off, at once, in the form of qubits. Quantum computers are powered by collections of qubits in superposition and that’s what makes them so powerful.
The other thing qubits do is called entanglement. When two particles are linked together in quantum computing it’s called entanglement even if they’re physically separate. Normally when you flip a coin, tossing one coin won’t affect the next coin toss. But in quantum computing, two spinning coins can be linked together and if one comes up heads, the other one will also come up heads.Then if you can string together multiple qubits you can tackle the problems that even our best computers can’t solve.
But quantum computers are not really just about doing things faster or more efficiently. They can do things we can’t even dream of, things our everyday supercomputers can’t possibly do.
Light Bulb, Not Candle
A quantum physicist, Shohini Ghose, says a quantum computer is not just a more powerful supercomputer just as a light bulb is not a more powerful version of a candle. You cannot build a light bulb by building better and better candles. A light bulb is a different technology just as quantum computing is a different technology. Having a lot more candles won’t achieve the same effect of what a light bulb can do because they’re two different technologies. And just like a light bulb transformed society, quantum computers have the potential to impact many, many different aspects of our lives.
Quantum computing is so strange, so futuristic, so exuberant, really, I love it. To me it’s what the science fiction guru, Arthur C. Clarke, was thinking about when he said, “any sufficiently advanced technology is indistinguishable from magic.”
There’s so much more to discuss about qubits, quantum computing, and the space race to quantum supremacy in my next episode.
Until then, from Short and Sweet AI, I’m Dr. Peper.