MIT Gives Computers the Capability to Predict the Future with Deep Learning - News Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have created an algorithm which significantly improves predictive ability. An important trait that separates humans from other animals is our ability of prediction. Although some animals appear to have predictive abilities, such as hibernation, weather changes, and pack hunting, the human ability to predict is much more advanced. While the capabilities of animal and human prediction is far and varied one point is clear: the ability to predict is important! The Power of Prediction
This robot can automatically sew you a t-shirt Sewbo uses stiffening solution to sew a t-shirt automatically. Sewbo stiffens the fabric with polyvinyl alcohol plastic stiffener to cut the garment (Via Sewbo) Happy National Manufacturing Day, everyone! Platform Cooperativism vs. the Sharing Economy – Trebor Scholz – Medium The backlash against unethical labor practices in the “collaborative sharing economy” has been overplayed. Recently, The Washington Post, New York Times and others started to rail against online labor brokerages like Taskrabbit, Handy, and Uber because of an utter lack of concern for their workers. At the recent Digital Labor conference, my colleague McKenzie Wark proposed that the modes of production that we appear to be entering are not quite capitalism as classically described.
How Facebook plans to evaluate its quest for generalized artificial intelligence One of the biggest misconceptions about artificial intelligence is the belief that today’s AIs possess generalized intelligence. We are really good at leveraging large data sets to accomplish specific tasks, but fall flat at replicating the breadth of human intelligence. If we’re going to move toward generalized intelligence, Facebook wants to make sure we know how to evaluate progress. In a paper, Facebook’s AI Research (FAIR) lab outlines just that as part of its CommAI framework. First, the team argues that a proper generalized AI should be able to fluently communicate in natural language with humans. Researchers in the field of natural language processing have been working on the problem of human computer interaction through language for some time now, but we have a long way to go before our computational systems can rival humans.
Unusual quantum liquid on crystal surface could inspire future electronics For the first time, an experiment has directly imaged electron orbits in a high-magnetic field, illuminating an unusual collective behavior in electrons and suggesting new ways of manipulating the charged particles. The study, conducted by researchers at Princeton University and the University of Texas-Austin was published Oct. 21, in the journal Science. The study demonstrates that the electrons, when kept at very low temperatures where their quantum behaviors emerge, can spontaneously begin to travel in identical elliptical paths on the surface of a crystal of bismuth, forming a quantum fluid state. This behavior was anticipated theoretically during the past two decades by researchers from Princeton and other universities. "This is the first visualization of a quantum fluid of electrons in which interactions between the electrons make them collectively choose orbits with these unusual shapes," said Ali Yazdani, the Class of 1909 Professor of Physics at Princeton, who led the research.
Artificial intelligence: here's what you need to know to understand how machines learn From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But a fully sentient being whose electronic “brain” can fully engage in complex cognitive tasks using fair moral judgement remains, for now, beyond our capabilities. Unfortunately, current developments are generating a general fear of what artificial intelligence could become in the future.
Reconsidering the Legacy of French Automatons What if our computers and robots originated in 18th century France and a little-known technological revolution that involved trying to create mechanical reproductions of the living? The Canadian philosopher Jean-Claude Simard revisits this part of history, often overshadowed by Britain's Industrial Revolution. My purpose here is to highlight France’s historic role in a specific kind of technology: mechanization.1 This role has been largely disregarded, overshadowed by the Industrial Revolution in a history of the Machine Age documented primarily by British and American authors, who often overlook mechanization modeled on life. During the 18th century, France undergoes its technological revolution, which will differ from England's. According to this widely accepted point of view, the British initiated the Industrial Revolution in the second half of the 18th century, thus becoming the world’s leading economic power and setting the standard for other countries.
The Long Tail Chris is expanding this article into a book, due out in May 2006. Follow his continuing coverage of the subject on The Long Tail blog. In 1988, a British mountain climber named Joe Simpson wrote a book called Touching the Void, a harrowing account of near death in the Peruvian Andes. It got good reviews but, only a modest success, it was soon forgotten. Then, a decade later, a strange thing happened. Amanda Cummings’ Memorial Facebook Page Peppered with Insults, Obscenities As of Friday morning, the R.I.P. Amanda Cummings Facebook page contains obscene and mocking images, videos and comments; some of them made fun of her for fatally jumping in front of a bus. Most of the comments on the page, however, were sympathetic towards Cummings and against those who are insulting her.
Here’s What Happens To Your Energy When You Have A Strong Emotional Reaction – Soul Anatomy By Samantha Reid Everything is energy. This idea is a pillar of both scientific understanding and spirituality. Race For AI: Google, Facebook, Amazon, Apple Grab Artificial Intelligence Startups Around 46% of the AI companies acquired since 2012 have had VC backing. Corporate giants like Google, IBM, Yahoo, Intel, Apple and Salesforce are competing in the race to acquire private AI companies, with Ford, Samsung, GE, and Uber emerging as new entrants. Over 200 private companies using AI algorithms across different verticals have been acquired since 2012, with over 30 acquisitions taking place in Q1’17 alone (as of 3/24/17). This quarter also saw one of the largest M&A deals: Ford’s acquisition of Argo AI for $1B. Join us for a webinar to dive into private market trends, startups working on ‘general AI’ or human-like intelligence, and the most prominent industries using AI algorithms.
WaveNet: A Generative Model for Raw Audio Talking Machines Allowing people to converse with machines is a long-standing dream of human-computer interaction. The ability of computers to understand natural speech has been revolutionised in the last few years by the application of deep neural networks (e.g., Google Voice Search). However, generating speech with computers — a process usually referred to as speech synthesis or text-to-speech (TTS) — is still largely based on so-called concatenative TTS, where a very large database of short speech fragments are recorded from a single speaker and then recombined to form complete utterances. This makes it difficult to modify the voice (for example switching to a different speaker, or altering the emphasis or emotion of their speech) without recording a whole new database.
"Scan this book", Kevin Kelly, NYT But the technology that will bring us a planetary source of all written material will also, in the same gesture, transform the nature of what we now call the book and the libraries that hold them. The universal library and its "books" will be unlike any library or books we have known. Pushing us rapidly toward that Eden of everything, and away from the paradigm of the physical paper tome, is the hot technology of the search engine. 1. Scanning the Library of Libraries Pourquoi les meilleurs esprits de Tech sont très inquiets de l'internet des objets Illustration: Pat Kinsella The Internet of Things is coming. And the tech cognoscenti aren’t sure that’s a good thing. For years, the prospect of an online world that extends beyond computers, phones, and tablets and into wearables, thermostats, and other devices has generated plenty of excitement and activity.