Wikipedia co-founder Larry Sanger, learning from what he describes as the failures of Wikipedia, explains his vision for decentralized collection of information that can’t be controlled by any one group to create an online encyclopedia of information which he calls a ‘blogosphere.’
What are Oracles in Crypto? (Animated)
Oracles are a trusted third party source of information that give real-world data to a blockchain.
Basic Blockchain EXPLAINED – Scott Stornetta, Creator of Blockchain Technology
How would you explain Blockchain in simple terms? Are blockchains anonymous? Can you trace a blockchain transition? Is blockchain and bitcoin the same? Let’s find out.
Welcome to Explain Like I’m 5, where we’re making it easy for you, explain crypto concepts in simple terms and answer the questions we’ve all been asked by friends and family about crypto. In this episode of the show, Jessica is joined by Scott Stornetta is the blockchain co-inventor quoted in the Bitcoin whitepaper written by Satoshi Nakamoto, who created the first cryptocurrency in 2009.
Lithium batteries of the future are here – all we needed was sugar! I’m not kidding
Lithium–sulfur batteries may succeed lithium-ion cells because of their higher energy density and reduced cost due to the use of sulfur instead of cobalt, which is commonly used in lithium-ion batteries.
What is a Liquidity Pool in Crypto? (Animated)
What is a Liquidity Pool? A liquidity pool in crypto and DeFi is a group of assets tied up in a smart contract, which allows traders to trade certain coins and tokens back in forth using an algorithm to determine current pricing.
Can This $22 Billion Megaproject Make Nuclear Fusion Power A Reality?
Fusion is the process that powers the sun and the stars, and scientists are getting a lot closer to replicating it here on Earth. ITER, the $22 billion dollar international fusion megaproject in the south of France, is the most well-funded endeavor, paid for by the governments of its member nations. But VC’s and private investors are also pouring money into fusion start-ups, with hopes to commercialize fusion power within the next decade. With a number of breakthroughs already this year, the race is on to prove that fusion power is not only possible, but integral to a clean energy future.
The Dangers of Artificial Intelligence – Stuart Russell on AI Risk
Stuart Russell is a British computer scientist known for his contributions to artificial intelligence. He warns about the risks involved in the creation of AI systems.
Artificial intelligence has become a key behind-the-scenes component of many aspects of our day-to-day lives.
The promise of AI has lured many into attempting to harness it for societal benefit, but there are also concerns about its potential misuse.
Dr. Stuart Russell is one of AI’s true pioneers and has been at the forefront of the field for decades. He proposes a novel solution which bring us to a better understanding of what it will take to create beneficial machine intelligence.
In view of the recent warnings from researchers and entrepreneurs that artificial intelligence or AI may become too smart, major players in the technology field are thinking about different methods for mitigating these concerns and preserving human control.
Stuart Russell, argues that if AI surpasses humanity in general intelligence and becomes Superintelligent, then this new Superintelligence could become powerful and difficult to control.
Existing weak AI systems can be monitored and easily shut down and modified if they misbehave. However, a misprogrammed Superintelligence, which by definition is smarter than humans in solving practical problems it encounters in the course of pursuing its goals, would realize that allowing itself to be shut down and modified might interfere with its ability to accomplish its current goals. If the Superintelligence therefore decides to resist shutdown and modification, it would be smart enough to outwit its human operators and other efforts to shut it down.
What is Machine Learning, and how does It work? A short primer.
Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to “learn”?
The Only Artificial Intelligence that can Learn – Deepmind Meta-Learning
Artificial Intelligence’s biggest Problems is their inability to keep on learning after they’ve completed their training. But now, Google’s Deepmind has created a Meta-Learning AI which keeps on learning and improving indefinitely without any Human supervision. Deepmind created the AI Game: Alchemy, which is a chemistry-based game for AI Agents to play and improve in. But Artificial Intelligence improving without limits also puts some concerns into AI researchers focused on deep learning.
There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning.
Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
Tesla Energy Is About To Take Over Texas
Tesla Energy Is About To Take Over Texas… Tesla is about to become a state-wide electric utility provider for Texas, so let’s look at how this will help Tesla and what it means for the future.