As the Internet marks 50 years, its co-inventor Vint Cerf, tells us of his concerns for the future and challenges ahead for the web.
How ad tech underpins the internet | FT
The FT’s European technology correspondent Madhumita Murgia explains the ad tech business model and how websites and apps make money through targeted advertising.
What is Nanotechnology?
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.