Don’t know your machine learning from your evolutionary algorithms? Our handy A.I. buzzword guide is here to help.
Read more
Category: robotics/AI
Scientists don’t know exactly what fast radio bursts (FRBs) are. What they do know is that they come from a long way away. In fact, one that occurs regularly comes from a galaxy 3 billion light years away. They could form from neutron stars or they could be extraterrestrials phoning home. The other thing is — thanks to machine learning — we now know about a lot more of them. You can see a video from Berkeley, below. and find more technical information, raw data, and [Danielle Futselaar’s] killer project graphic seen above from at their site.
The first FRB came to the attention of [Duncan Lorimer] and [David Narkevic] in 2007 while sifting through data from 2001. These broadband bursts are hard to identify since they last a matter of milliseconds. Researchers at Berkeley trained software using previously known FRBs. They then gave the software 5 hours of recordings of activity from one part of the sky and found 72 previously unknown FRBs.
Read more
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.
In 1958, Stanish Ulam, a Polish American scientist in the fields of mathematics and nuclear physics, first used the term “singularity” in a conversation with John von Neumann, Hungarian-American mathematician, physicist, computer scientist, and polymath, about the technological progress.
Read more
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.
AI is massively transforming our world, but there’s one thing it cannot do: love. In a visionary talk, computer scientist Kai-Fu Lee details how the US and China are driving a deep learning revolution — and shares a blueprint for how humans can thrive in the age of AI by harnessing compassion and creativity. “AI is serendipity,” Lee says. “It is here to liberate us from routine jobs, and it is here to remind us what it is that makes us human.”
Read more
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.”
Read more
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.
“This allows us to spend our time asking science questions, like, ‘How do you predict the properties of something,’ ‘What is the thermodynamic model,’ ‘What is the model of the system,’ or ‘How do you represent the system?’” said Ulissi.
Read more
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.
Read more
