Simplified explanation of nanotechnology.
EOS vs. Ethereum: A Cost Breakdown
Today I broke down the cost between using Ethereum and EOS. Have you ever used Ethereum or EOS? I recommend you watch the whole video to learn some things you may not have known about EOS or Ethereum.
Shermin Voshmgir – Token Economy Interview
Shermin Voshmgir, founder of blockchainhub.net and directory of the Cryptoeconomics Research Institute at the Vienna University of Economic, interviewed by Margarita Khartanovich of Binary District, on Tokens as the killer app of the Web3
Paul Brody on New Trends in Blockchain
A survey announced by Ernst & Young shows enterprises are warming up to the idea of public blockchains over private ones. Joining us in the NASDAQ studio to discuss this and other blockchain-related trends is Ernst & Young’s global head of blockchain Paul Brody.
Machine Learning App Examples
Machine Learning powers almost every internet service we use these days, but it’s rare to find a full pipeline example of machine learning being deployed in a web app. In this episode, I’d like to present 5 full-stack machine learning demos submitted as midterm projects from the students of my current course. The midterm assignment was to create a paid machine learning web app, and after receiving countless incredible submissions, I’ve decided to share my favorite 5 publicly. I was surprised by how many students in the course had never coded before and to see them building a full-stack web app in a few weeks was a very fulfilling experience. Use these examples as a template to help you ideate on potential business ideas to make a positive impact in the world using machine learning. And if you’d like, be sure to reach out and support each of the students I’ve demoed here today in any way can you offer.
Why deploy AI/ML (Artificial Intelligence & Machine Learning) workloads on OpenShift?
While organizations are turning to Artificial Intelligence and Machine Learning (AI/ML) to better serve customers, reduce cost, and gain other competitive advantages, there are significant challenges to executing these programs.
Data Scientists need a self-service experience that allows them to build, scale, and share their machine learning (ML) modeling results across the hybrid cloud.
With Red Hat OpenShift, you’ll enable data scientists to easily enable and deploy their ML modeling without the dependency on IT to provision infrastructure.
Introducing Autonomous Economic Agents: What is an AEA?
Autonomous Economic Agents (AEAs) are adaptive independent programs that have a narrowly defined goal to produce some economic gain for their owner. These agents will be at the forefront of the next industrial revolution, disrupting billion-dollar industries and creating innovative new solutions.
Fetch.ai is a world-changing project, a “decentralized digital world” where autonomous software agents act on the behalf of their owners, or themselves, to get useful economic work done. They consider themselves to be a “dynamic, fast-growing international team of experts and forward-thinking technology enthusiasts working on the convergence of blockchain, AI and multi-agent systems.”
They are building a collective super-intelligence on top of decentralized economic internet built with a highly scalable next-generation distributed ledger technology. Combined with machine learning, this delivers the predictions and infrastructure to power the future economy.
You MUST understand Cryptographic Hashing for blockchain
This video describes cryptography and encryption with a focus on hashing.
5 Powerful Uses For Blockchain
I believe there are five powerful use cases for blockchain. These five use cases are unique, unique in that the value we get from using a blockchain clearly outweighs the drawbacks. So let’s dive into these five great use cases and find out why they’re so well matched for blockchain:
#1 – Non-fiat money, or a store of value coin. What does that mean? It means money that has been issued by people or groups, but not a country. Now, this of course was the very first use case for blockchain technology. I’m talking about Bitcoin. Why non-fiat up money? Because blockchain solves two critical elements when it comes to making money useful. Blockchain makes counterfeiting impossible. It allows money or a store value coin to be safely transferred to anyone on earth with access to the internet.
#2 – A storage place for your personal identity. Now, this is a fantastic use case for blockchain. There is no safer way to store, and to give limited access to, all the personal identifying details of who you are. Your passwords, your driver’s license, all of your personal contact information, the information websites demand you hand over every time you want to sign up for an online service. If you could store your personal identifying details in a blockchain, all that precious information that identity thieves would love to get, we would all be better off. No one could touch it unless you gave them permission. Your digital identity would be safely locked in the blockchain, not on hundreds of unsecured web servers. And you would grant companies access to that information on your terms.
#3 – Supply chain. The ability of a blockchain to maintain an unbroken and easily accessible record of every event in a global supply chain is powerful. This, by the way, is the reason that supply chains are one of the first commercial applications of blockchain technology.
#4 – The tokenization of real-world assets. Now I’m talking about creating a digital twin of any real-world item. Why is this valuable? Because it allows you to transform nearly everything you own into provably, authentic digital certificates. Digital certificates that can’t be duplicated or forged. Blockchain is the way we begin to separate ownership from physical possession for lots of things. Tokenization will have a major impact on the way we shop, use, and trade things in the future. Now this particular use case is near and dear to me and that’s because six years ago, I used a blockchain to tokenize the US dollar. My partners and I created a way to send US dollars through the blockchain and it turned out to be a fantastic use case that harnessed the special properties of blockchain technology. And that tokenized dollar we created, what we named Tether, today trades over 4 trillion dollars annually.
#5 – Consumer entertainment, and it should start with video games. The global video game industry makes $150 billion per year and most of that revenue comes from selling virtual items, avatars, and skins to decorate your characters. Selling virtual assets is a great business model for video game companies, but it’s not so great for players. People spend hundreds, even thousands of dollars to collect their favorite virtual items, yet they never own them. Game companies rarely allow players to trade or resell all this digital property, property the players paid for! Now, if these virtual items were created on a blockchain, it would make it possible for hundreds of millions of video game players to directly own and trade them. I also believe it would unleash a massive increase in the willingness of players to buy more virtual items.
Why? Because by allowing the digital items to be resold, it makes players much more comfortable buying them in the first place. Just like the fact that you can resell your car puts you more at ease buying it because you can extract some value from the car when it’s time to trade up to a new one. And remember we’re talking about 150 billion dollar industry, just waiting to be transformed by the blockchain.
Why creativity is being liberated by data and machine learning
Are machine learning and creativity at odds? In a word: No. And don’t just take it from Google. They sat down with Justin Billingsley, CEO at Publicis Emil; Dawn Winchester, chief digital officer at Publicis North America; Andrew Shebbeare, co-founder and chairman of Essence; and Vijay Sharma, FlipKart’s head of digital media and brand marketing. They explain how creativity is being empowered by the most recent advances in technology, and why great creatives love data and automation.