Elon Musk’s newer company “Neuralink” just demoed the brain device they’ve been working on the past 2 years during a live stream event. I’ve been waiting a long time to get a glimpse of the hardware, software, and intentions they have as they build this technology and the event was satisfying, thought provoking, and humbling. I’m going to review my impressions of the event, explain how the device works in technical detail, then make a few predictions of what it’s going to be used for in the future. It’s an exciting time to be alive, and although there are dangers involved, I have faith that we can learn from our mistakes and avoid having this tool be used for exploitation like social networks have been used for.
What is a dApp? Decentralized Application on the Blockchain
dApp is the abbreviated term for a decentralized application. Just as any developer can build apps for the App Store on Apple’s IOS operating system, developers can (also) build on top of Ethereum’s blockchain infrastructure. To the end user, a dApp might not look and feel any different than other apps you use today. However, dApps are powered by the blockchain; and this makes them different – and perhaps.. far superior.
Demo: The magic of AI neural TTS and holograms at Microsoft Inspire 2019
What if neither distance nor language mattered? What if technology could help you be anywhere you need to be and speak any language? Using AI technology and holographic experiences this is possible, and it is revolutionary.
Learning Dexterity
OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence. They’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
Their system, called Dactyl, is trained entirely in simulation and transfers its knowledge to reality, adapting to real-world physics.
Dactyl learns from scratch using the same general-purpose reinforcement learning algorithm and code as OpenAI Five. Their results show that it’s possible to train agents in simulation and have them solve real-world tasks, without physically-accurate modeling of the world.
Why artificial intelligence and automation are game-changing
Appledore Research’s Francis Haysom sits down with Nokia’s Andrew Burrell to discuss why artificial intelligence and automation are game-changing.
The big debate about the future of work, explained
Why economists and futurists disagree about the future of the labor market.
Automatic Machine Learning (AML)
Automatic Machine Learning or “AutoML” is a field of Artificial Intelligence that is gaining a lot of interest lately. The idea is that doing any kind of task related to machine learning involves a whole lot of steps like cleaning a dataset, choosing a model, deciding what the right configurations of that model should be, deciding what the most relevant features are etc. The goal of AutoML is to automate all of that up to a point where all a data scientist would need to do is tell a machine to perform some task using a dataset and wait for it to learn how by itself. In this episode, i’m going to explain several popular AutoML techniques, then compare top AutoML frameworks like AutoKeras, Auto Sklearn, h20, Ludwig, etc. to help you decide which one will be the best for your needs.
SWAPP is using AI to let consumers put themselves into ads
Motivated by the noise in the advertising space, SWAPP harnesses Artificial Intelligence to put consumers at the heart of fashion ads and content. Founded by Helen Wang, MSc Strategic Fashion Management and Joanna Lanceley, MSc Strategic Fashion Management.
How Blockchain Can Help Advertisers Navigate a Cookieless World
With Safari and Firefox now blocking third-party cookies by default, and Google tightening controls over cookie-based tracking on Chrome, advertisers are looking for solutions that will still let them identify their audiences as they’ve long been able to. Blockchain can be one piece of this puzzle says Jason Manningham, general manager of FreeWheel-owned Blockgraph, which uses blockchain among other tech for privacy-compliant data matching. In this interview Manningham describes how Blockgraph has ‘deconstructed’ blockchain to power its solution, and outlines some of its key use cases.
How To Build A Blockchain App (Etherum, Web3.js & Solidity Smart Contracts) – PT1
This “part 1” video outlines how to create your first blockchain application with Ethereum, Web3, and Solidity Smart Contracts. You don’t have to know anything about blockchain to follow along. I’ll teach you from scratch. Use this step-by-step guide with code examples and written instructions.’