Lifeboat Foundation

How could AI disrupt the music and commercial media industries?

Artificial intelligence may be set to disrupt the world of live music. Using data driven algorithms, AI would be able to calculate when and where artists should play, as well as streamline the currently deeply flawed means through which fans discover concerts happening in their area.

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Continue reading “Will Robots Disrupt Live Music? How Artificial Intelligence, Algorithms Could Boost Ticket Sales” »

We don’t live in a world that’s pinning the survival of humanity of Matthew McConaughey’s shoulders, but if it turns out the plot of the 2014 film Interstellar is true, then we live in a world with at least five dimensions. And that would mean that a ring-shaped black hole would, as scientists recently demonstrated, “break down” Einstein’s general theory of relativity. (And to think, the man was just coming off a phenomenal week.)

In a study published in Physical Review Letters, researchers from the UK simulated a black hole in a “5-D” universe shaped like a thin ring (which were first posited by theoretical physicists in 2002). In this universe, the black hole would bulge strangely, with stringy connections that become thinner as time passes. Eventually, those strings pinch off like budding bacteria or water drops off a stream and form miniature black holes of their own.

This is wicked weird stuff, but we haven’t even touched on the most bizarre part. A black hole like this leads to what physicists call a “naked singularity,” where the equations that support general relativity — a foundational block of modern physics — stop making sense.

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(Phys.org)—Researchers have designed and implemented an algorithm that solves computing problems using a strategy inspired by the way that an amoeba branches out to obtain resources. The new algorithm, called AmoebaSAT, can solve the satisfiability (SAT) problem—a difficult optimization problem with many practical applications—using orders of magnitude fewer steps than the number of steps required by one of the fastest conventional algorithms.

The researchers predict that the amoeba-inspired computing system may offer several benefits, such as high efficiency, miniaturization, and low energy consumption, that could lead to a new computing paradigm for nanoscale high-speed problem solving.

Led by Masashi Aono, Associate Principal Investigator at the Earth-Life Science Institute, Tokyo Institute of Technology, and at PRESTO, Japan Science and Technology Agency, the researchers have published a paper on the amoeba-inspired system in a recent issue of Nanotechnology.

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Actors and Actresses will never have to worry about reading through pages of scripts to decide whether or not the role is worth their time; AI will do the work for you.

A version of this story first appeared in the Feb. 26 issue of The Hollywood Reporter magazine. To receive the magazine, click here to subscribe.

During his 12 years in UTA’s story department, Scott Foster estimates he read about 5,500 screenplays. “Even if it was the worst script ever, I had to read it cover to cover,” he says. So when Foster left the agency in 2013, he teamed with Portland, Ore.-based techie Brian Austin to create ScriptHop, an artificial intelligence system that manages the volume of screenplays that every agency and studio houses. “When I took over [at UTA], we were managing hundreds of thousands of scripts on a Word document,” says Foster, who also worked at Endeavor and Handprint before UTA. “The program began to eat itself and become corrupt because there was too much information to handle.” ScriptHop can read a script and do a complete character breakdown in four seconds, versus the roughly four man hours required of a reader. The tool, which launches Feb. 16 is free, and is a sample of the overall platform coming later in 2016 that will recommend screenplays as well as store and manage a company’s library for a subscription fee of $29.99 a month per user.

Continue reading “This New Artificial Intelligence Script-Reading Program Could Find Your Next Oscar Role (Exclusive)” »

Neural networks have become enormously successful – but we often don’t know how or why they work. Now, computer scientists are starting to peer inside their artificial minds.

A PENNY for ’em? Knowing what someone is thinking is crucial for understanding their behaviour. It’s the same with artificial intelligences. A new technique for taking snapshots of neural networks as they crunch through a problem will help us fathom how they work, leading to AIs that work better – and are more trustworthy.

In the last few years, deep-learning algorithms built on neural networks – multiple layers of interconnected artificial neurons – have driven breakthroughs in many areas of artificial intelligence, including natural language processing, image recognition, medical diagnoses and beating a professional human player at the game Go.

Continue reading “Brain scan for artificial intelligence shows how software thinks” »

I must admit that this will be hard to do. Sure; I can code anything to come across as responding & interacting to questions, topics, etc. Granted logical/ pragmatic decision making is based on facts/ information that people have at a given point of time; being human isn’t only based on algorithms and prescript data it includes being spontaneous, and sometimes emotional thinking. Robots without the ability to be spontaneous, and have emotional thinking capabilities; will not be human and will lack the connection that humans need.

Some people worry that someday a robot – or a collective of robots – will turn on humans and physically hurt or plot against us.

The question, they say, is how can robots be taught morality?

Continue reading “Bedtime stories for robots could teach them to be human” »

This is one that truly depends on the targeted audience. I still believe that the 1st solely owned & operated female robotics company will make billions.

Beyond correct pronunciation, there is the even larger challenge of correctly placing human qualities like inflection and emotion into speech. Linguists call this “prosody,” the ability to add correct stress, intonation or sentiment to spoken language.

Today, even with all the progress, it is not possible to completely represent rich emotions in human speech via artificial intelligence. The first experimental-research results — gained from employing machinelearning algorithms and huge databases of human emotions embedded in speech — are just becoming available to speech scientists.

Continue reading “How designers are grappling with the challenges of creating a computer ‘personality’” »

GPS is an utterly pervasive and wonderful technology, but it’s increasingly not accurate enough for modern demands. Now a team of researchers can make it accurate right down to an inch.

Regular GPS registers your location and velocity by measuring the time it takes to receive signals from four or more satellites, that were sent into space by the military. Alone, it can tell you where you are to within 30 feet. More recently a technique called Differential GPS (DGPS) improved on that resolution by adding ground-based reference stations—increasing accuracy to within 3 feet.

Now, a team from the University of California, Riverside, has developed a technique that augments the regular GPS data with on-board inertial measurements from a sensor. Actually, that’s been tried before, but in the past it’s required large computers to combine the two data streams, rendering it ineffective for use in cars or mobile devices. Instead what the University of California team has done is create a set of new algorithms which, it claims, reduce the complexity of the calculation by several order of magnitude.

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What you’re looking at is the first direct observation of an atom’s electron orbital — an atom’s actual wave function! To capture the image, researchers utilized a new quantum microscope — an incredible new device that literally allows scientists to gaze into the quantum realm.

An orbital structure is the space in an atom that’s occupied by an electron. But when describing these super-microscopic properties of matter, scientists have had to rely on wave functions — a mathematical way of describing the fuzzy quantum states of particles, namely how they behave in both space and time. Typically, quantum physicists use formulas like the Schrödinger equation to describe these states, often coming up with complex numbers and fancy graphs.

Up until this point, scientists have never been able to actually observe the wave function. Trying to catch a glimpse of an atom’s exact position or the momentum of its lone electron has been like trying to catch a swarm of flies with one hand; direct observations have this nasty way of disrupting quantum coherence. What’s been required to capture a full quantum state is a tool that can statistically average many measurements over time.

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