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Interesting Futurism Animation 40
Posted in futurism
The London startup hoping to ‘build the Matrix’: Improbable reveals record breaking funding to ‘simulate the real world…
A London firm is hoping to turn the world into a simulation, and make ‘The Matrix’ a reality.
Improbable has developed a system to build huge virtual and simulated worlds, and today revealed a massive new investment to boost its smart software.
Amanda Feilding, a well-known researcher from the Beckley Foundation in Oxford, has long been an advocate for LSD microdosing.
Before it was made illegal in 1968, Ms Feilding would take LSD to boost her creativity, and even found that her performace in the ancient Chinese game of Go, improved.
Speaking to Motherboard, Ms Feilding said: ‘I found that if I was on LSD and my opponent wasn’t, I won more games.
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Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge…
Lifelong-DNN™ (Lifelong-Deep Neural Networks), Neurala’s Patent-Pending Software, Overcomes Catastrophic Forgetting—the #1 Problem Limiting the Growth of Deep Learning Neural Networks for Real-Time Use
SAN JOSE, CA —May 8, 2017— Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge. The new patent-pending approach means that for the first time a self-driving car can be personalized by each owner or dealer to a specific neighborhood; a parent can teach a toy to recognize a child, without infringing on privacy; and industrial machines can be updated in the field for specific tasks.
Until now, if an AI system had learned a certain number of objects and needed to learn one more, it would have to be retrained on all of the objects. This traditional method requires using powerful servers that are often located in the cloud. Neurala Lifelong Deep Neural Networks (L-DNN) enable learning of the incremental object on the edge.
To Dr. Mark Gomelsky, a professor at the University of Wyoming, genetically engineered therapeutic cells are like troops on a mission.
The first act is training. Using genetic editing tools such as CRISPR, scientists can “train” a patient’s own cells to specifically recognize and attack a variety of enemies, including rogue tumor soldiers and HIV terrorists.
Then comes the incursion. Engineered cells are surgically implanted to the target site, where they’re left to immediately carry out the mission. The problem, says Gomelsky, is adding a command center “that could coordinate their activities in real time according to the developing situation,” such as telling cells when to activate and when to stop.
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The Buck institute is in the spotlight today.
Located in Novato, California, not too far from Mount Burdell Preserve and Olompali State Historic Park, is one of the world’s leading research centres for ageing and age-related diseases—the Buck Institute for Research on Aging.
Opened in 1999 thanks to the substantial bequest of American philanthropist Beryl Hamilton Buck, the Buck Institute set to fulfill her wishes that her patrimony be spent to “extend help towards the problems of the aged, not only the indigent but those whose resources cannot begin to provide adequate care.” Over the years, the Institute has certainly honoured its commitment: The Buck can boast some of the most eminent experts on ageing among its research staff, and a number of laboratories that push forward our understanding of age-related pathologies every day—such as the Campisi Lab and the Kennedy Lab, just to name a few.
The Buck’s approach to investigating ageing is a multifaceted one. The institute rightfully acknowledges the necessity to bring together experts from disparate fields of science—from physics to engineering, from mathematics to anthropology—in order to properly understand the complex networks of biochemical processes underlying ageing and ultimately leading to pathology. Biochemistry, molecular endocrinology, proteomics, genomic stability, and cell biology are only some of the areas of investigation of the Buck, and the medical conditions researched by their teams range from Huntington’s disease to ischemia, to Parkinson’s, to cancer and Alzheimer’s. The three main questions the Buck set to answer are why do ageing tissues lose their regeneration capacity, why do stem cells fail to function with ageing, and how do tissues change during ageing so that they no longer support normal regenerative processes.
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A new story out on #transhumanism:
In the Basic Income America Facebook group, Zoltan Istvan, a transhumanist who recently ran for president, shared his Wired article, Capitalism 2.0: the economy of the future will be powered by neural lace. He (along with many others) argues Wall Street, law offices, engineering firms, and more will soon be mostly void of humans.
I think I mostly agree with him. Algorithms will far surpass human ability to achieve the best possible outcomes (Nash equilibrium). Having read Super Intelligence, the Master Algorithm, The Age of Em, books on evolution, lectures, interviews, etc… I think we’re approaching an important moment in human history where we have to figure out morality so we can build it into the proto-AI children we are giving birth to. I’ve even toyed around with a fun idea related to the simulation hypothesis. Maybe we exist as a simulation, repeating the birth of AI over and over again until we figure out a way to do it without destroying ourselves or turning the universe into computonium.
I’ve argued the world may need a Universal Basic Income and Steem Power might power it. I’ve also discussed the morality of artificial intelligence. I’m a big fan of Ray Kurzweil and love hearing him lecture about the future longevity we might enjoy, but I also recognize how fragile biological life is compared to exponentially growing super intelligence. I’ve heard the concerns by Elon Musk, Stephen Hawking, and others, and to me, they are convincing.
On 5th of May, the cornerstone for the construction of a neuromorphic computing facility in Europe was laid at the University of Heidelberg in Germany. With the financial support of the European Union and German public and private institutions, the new building will house leading European researchers working on neuromorphic computing within the Human Brain Project, a FET Flagship of the European Commission.
With this new facility the research team from Heidelberg University, led by Prof. Dr. Karlheinz Meier, will benefit from an optimal environment to continue working on the neuromorphic computing platform, which they are developing together with other research groups within the Human Brain Project.
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But there is cause for concern. Internet companies’ control of data gives them enormous power. Old ways of thinking about competition, devised in the era of oil, look outdated in what has come to be called the “data economy” (see Briefing). A new approach is needed.
A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans—Alphabet (Google’s parent company), Amazon, Apple, Facebook and Microsoft—look unstoppable. They are the five most valuable listed firms in the world. Their profits are surging: they collectively racked up over $25bn in net profit in the first quarter of 2017. Amazon captures half of all dollars spent online in America. Google and Facebook accounted for almost all the revenue growth in digital advertising in America last year.
Such dominance has prompted calls for the tech giants to be broken up, as Standard Oil was in the early 20th century. This newspaper has argued against such drastic action in the past. Size alone is not a crime. The giants’ success has benefited consumers. Few want to live without Google’s search engine, Amazon’s one-day delivery or Facebook’s newsfeed. Nor do these firms raise the alarm when standard antitrust tests are applied. Far from gouging consumers, many of their services are free (users pay, in effect, by handing over yet more data). Take account of offline rivals, and their market shares look less worrying. And the emergence of upstarts like Snapchat suggests that new entrants can still make waves.
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