Lifeboat Foundation

https://paper.li/e-1437691924#/

Recently, we might often have heard of the term “technological singularity” with the hypothesis that accelerating progress in technological inventions will cause a runaway effect that will make ordinary humans someday be overtaken by artificial intelligence.

The term seems to be appeared very contemporary to this technology era but in fact, thought about singularity has a long philosophical history.

Continue reading “Roadmap of technological singularity” »

Give this video some time to play out but listen carefully. Kai-Fu Lee is explaining to you what the New Humanity is going to be.

Editors Note: Give this video time and allow it to play out. What you need to focus on is the propaganda behind the New Humanity.

Continue reading “How AI Can Save Our Humanity” »

BMW’s self-driving motorcycle can start, stop, and navigate all by itself, but the company says creating a fully autonomous vehicle wasn’t its intention.

Ryff has a big idea that it says could turn the $23 billion product placement market upside down. Product placement is the advertising tactic of placing a branded object, like a bottle of Coca-Cola, in a scene in a movie or a TV show.

Los Angeles-based Ryff has figured out how to do this digitally with cloud technology. Ryff figures out the places in video content where virtual objects can be placed in a scene where they seem like they are a natural part of the environment. That means the objects have to be rendered realistically enough so they can be mistaken for being part of a real scene, as recorded in a movie or TV show or a commercial, said Roy Taylor, CEO of Ryff, at an event on Thursday evening.

“We are on a new platform that makes images intelligent,” Taylor said. “Ryff is the world’s first image technology company using AI and visual computing to change the way we experience entertainment.”

Continue reading “Ryff lets advertisers place any virtual object into commercials and films” »

Researchers are paving the way to total reliance on renewable energy as they study both large- and small-scale ways to replace fossil fuels. One promising avenue is converting simple chemicals into valuable ones using renewable electricity, including processes such as carbon dioxide reduction or water splitting. But to scale these processes up for widespread use, we need to discover new electrocatalysts—substances that increase the rate of an electrochemical reaction that occurs on an electrode surface. To do so, researchers at Carnegie Mellon University are looking to new methods to accelerate the discovery process: machine learning.

Zack Ulissi, an assistant professor of chemical engineering (ChemE), and his group are using machine learning to guide electrocatalyst discovery. By hand, researchers spend hours doing routine calculations on materials that may not end up working. Ulissi’s team has created a system that automates these routine calculations, explores a large search space, and suggests new alloys that have promising properties for electrocatalysis.

Continue reading “Accelerating electrocatalyst discovery with machine learning” »

An international team of researchers led by The Australian National University (ANU) has invented a tiny camera lens, which may lead to a device that links quantum computers to an optical fibre network.

Quantum computers promise a new era in ultra-secure networks, artificial intelligence and therapeutic drugs, and will be able to solve certain problems much faster than today’s computers.

The unconventional lens, which is 100 times thinner than a human hair, could enable a fast and reliable transfer of quantum information from the new-age computers to a network, once these technologies are fully realised.

Grammarly announced that it will now work on Google Docs through a browser extension. The artificial intelligence-powered grammar checking tool joins Google’s native A.I.-powered tool to help improve both individual and collaborative writing efforts on Google Docs.

These robotic patient simulators are a medical breakthrough that help doctors prepare for real-world experience.

MIT’s Lincoln Laboratory Intelligence and Decision Technologies Group yesterday unveiled a neural network capable of explaining its reasoning. It’s the latest attack on the black box problem, and a new tool for combating biased AI.

Dubbed the Transparency by Design Network (TbD-net), MIT’s latest machine learning marvel is a neural network designed to answer complex questions about images. The network parses a query by breaking it down into subtasks that are handled by individual modules.