application of artificial intelligence

I’ve always been confused by the idea of sentient robots and AI because at the point of sentience, I would no longer consider the labels of robot and artificial intelligence to be applicable - if it is sentient, it is a being and thus no longer a machine and thus not a robot, and furthermore if it is sentient it’s intelligence is no longer artificial.

Plus, at the point of creating sentience, I doubt there’d be any real distinction between the mechanical and the biotechnological so it’d probably be more like a reverse-cyborg or something than anything recognizably mechanical.

But this is all just ontology, with a side of prediction.


Desire (Gryffin Remix)

DeepDream goes mainstream with Years & Years music video put together by Brian Harrison, Samim and Roelof Pieters making it the highest profile creation using creative artificial intelligence:

An Artificial Experience Music Motion Picture by Brian Harrison

If you are someone who keeps up to date on the latest technologies sweeping the planet or if you are a Sci-Fi fan, then you may have heard of Artificial Intelligence or “A.I”. In recent years, A.I. systems have begun to come of age - finding practical applications in science, business and beyond. These systems often use something called Artificial Neural Networks – real machine learning inspired by the human brain.

Artificial Neural Networks are, just like the brain, based on interconnected ‘neurons’. Given lots of data, they can learn underlying patterns, create a model of the world and predict the next steps. These types of intelligent systems are transforming human processes and perceptions in profound ways and we are on the verge of a genuine human-machine collaboration.

While Artificial Intelligence gets the headlines, what you probably have not heard of is the newest application of machine learning: “Creative Artificial Intelligence” that can actually generate art and design. These systems turn Artificial Neural Networks on their head, using them to paint, dream, hallucinate, design and complete other creative tasks.

More Here

Intergalactic gas and ripples in the cosmic web

The most barren regions known are the far-flung corners of intergalactic space. In these vast expanses between the galaxies there is just one solitary atom per cubic meter – a diffuse haze of hydrogen gas left over from the Big Bang. On the largest scales, this material is arranged in a vast network of filamentary structures known as the “cosmic web,” its tangled strands spanning billions of light years and accounting for the majority of atoms in the universe.

Now, a team of astronomers, including UC Santa Barbara physicist Joseph Hennawi, have made the first measurements of small-scale ripples in this primeval hydrogen gas using rare double quasars. Although the regions of cosmic web they studied lie nearly 11 billion light years away, they were able to measure variations in its structure on scales 100,000 times smaller, comparable to the size of a single galaxy. The results appear in the journal Science.

Keep reading

((That is to say, this blog is hopefully going to get a revive soon. I’m making a series of talksprites to assist with the issue of time, so although there will be less ask-unique drawings, there’ll still be visuals and (hopefully) a more consistent flow of responses. 

Sorry for being so dead with this blog–as those who follow my main already know, there have been a few large changes this year. I’ve moved abroad to begin a masters programme in Artificial Intelligence (ironically enough), so between applications, visas, packing, and everything in-between, this blog ended up being difficult to maintain. BUT! I’m settled in, and with this talksprite series (est. 10-13 expressions), things should pick up again. 

Thanks for sticking around!)) 


China’s new powerful processor brings Alpha Go to your doorstep

The Chinese Academy of Sciences recently released the world’s first neural network processor. This breakthrough, if put into industrial production, will enable wider application for artificial intelligence, such as payment and other personalized services with a facial scan, according to its developer.

The Google DeepMind’s Alpha Go program that recently sealed a 4-1 victory against top human Go player Lee Se-dol hit a milestone for the development of learning machines, but is still too distant for ordinary people, since the program requires thousands of current processors to run at the same time, said Chen Tianshi, a leading researcher in charge of the Cambrian processor development.

The more powerful Cambrian processor, however, will bring artificial intelligence into your home, Chen said. He made an analogy between the Alpha Go algorithm system and water, saying the Cambrian processor will be for Alpha Go like a “bowl large enough to contain the necessary water.” “Previously Google just got tiles that can hold little water,” Chen said.

Chen said his team has targeted three areas for application of the neural network processor: high-performance servers requested by enterprises and scientific institutes, high-performance terminal chips (for example, if your mobile terminal, or cellphone, is installed with the processing chip, you can let your phone know who you are and what you possibly want to search for simply by snapping a selfie), and robot intelligence chips.

Chen said they named the processor “Cambrian” for the biodiversity explosion during that period. “We hope artificial intelligence might explode like the Cambrian organisms,” Chen said.