Tuesday, 18 December 2018

601 Summative Project Report

The subject of artificial intelligence is one that has always interested me. Because it’s such a vast and complicated area to research it was an all consuming research project that involved a lot of reading and I should have narrowed my subject to a specific area earlier on. My research became a series of long trails off track into areas that fascinated me but weren’t linked to my project.
My practical work became delayed as a result. It felt in the first three weeks as if time was wasted searching for a specific subject rather than allowing my practical work to push things forward. At certain points I felt a million miles away from getting any coherent question together.
    I found myself confused about what I wanted to get out of the project and was wary of the short time scale we had.
My first essay tutorial was a good example of how my priorities were all wrong. I came unprepared, having not even started writing my essay. I’d been spending too much time on a single piece of time consuming practical work instead of making work that was responding to the project proposal. The tutorial was useful in that it gave me a wake up call and focused my research.
A better coming together and triangulation of reading, practical and writing would have made the project stronger. I put too much pressure on myself by attempting to become an expert in the area I was researching. Knowing less would allow for more interesting work especially as my work is more conceptually driven.
This module has thrown up lots of areas of science and practices I want to further explore next year. It has refined my understanding of artificial intelligence but also how other practitioners approach creating visions of the future. The complex nature of the project and the unknowables were overwhelming at times but I’m happy I pushed myself out of my comfort zone into a challenging topic even if the my productivity and work didn’t flow as I’d hoped. The project has forced me to question my approach to complex subjects.
The final digital collage outcomes meant the project finished stronger than it had began and the feedback has been overall positive. They evoke the tone and aesthetic I feel is appropriate - they’re highly conceptual but still feel relevant to my research.
My project management has been clunky and at times wayward but the writing and practical work link together. Missing a couple of group crits probably added to feeling a bit lost without more feedback.
I’ve seen a flexibility and range in artists’ work that has given me new ambitions to make work for areas I previously thought cut off to me such as concept art for film. It’s renewed for me the important fact that good ideas are core to everything and they can be applied from illustration to film beautifully when practitioners work together well.
Overall it’s been a tough project where I’ve taken on more than I should have and it’s a missed opportunity to have done practice driven project which would have been more rewarding but despite the third year being a challenge personally I’m pleased I gave it ago and strongly feel once again the mistakes will be invaluable when researching for my next project. This has only encouraged me to take on more complex and challenging subjects.

Saturday, 24 November 2018

601 Collage - God is Dead

Photo(Charlotte) 

Collage allows me to get ideas out quickly. Unlike my drawing process which can take much longer. Collage is definitely the best way to get ideas down. I should of done this sooner but at least I'm getting some practical work done now and feel much more positive about the project.

 'I am your master' Frankenstein

 'God is Dead' Philosopher, Nietzsche
 I probably wouldn't get enough done as I'm still a perfectionist when I use drawing and digital paint process is time consuming . It's got good feedback but I feel the collages will allow for more creativity and I can make more of them. I think the Metropolis piece is a bit gimmicky and doesn't say anything new. I really like the idea of floating people over computer servers though which I will definitely use again. More abstract pieces might be the way forward so the feedback is good but collages are probably more practical and efficient.  
Metropolis tribute

Thursday, 15 November 2018

601 - COP Reading & Research

A New AI Can Write Music as Well as a Human Composer
https://futurism.com/a-new-ai-can-write-music-as-well-as-a-human-composer
AI experiments with google
https://deepmind.com/
https://ai.google/


"I would actually be very pessimistic about the world if something like AI wasn't coming down the road," he said.
"The reason I say that is that if you look at the challenges that confront society: climate change, sustainability, mass inequality — which is getting worse — diseases, and healthcare, we're not making progress anywhere near fast enough in any of these areas.
"Either we need an exponential improvement in human behavior — less selfishness, less short-termism, more collaboration, more generosity — or we need an exponential improvement in technology.
"If you look at current geopolitics, I don't think we're going to be getting an exponential improvement in human behavior any time soon.
"That's why we need a quantum leap in technology like AI."
https://www.theguardian.com/technology/2018/aug/13/new-artificial-intelligence-tool-can-detect-eye-problems-as-well-as-experts Artificial intelligence tool 'as good as experts' at detecting eye problems DeepMind
https://www.porttechnology.org/news/googles_ai_becomes_worlds_best_chess_player  DeepMind, Google’s artificial intelligence programme, has not only surpassed the limits of human ability in chess, but it has done so in only four hours, according to The Week.
https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf Human-level control through deep reinforcement learning

https://www.theguardian.com/technology/2016/feb/16/demis-hassabis-artificial-intelligence-deepmind-alphago With his company DeepMind, Londoner Demis Hassabis is leading Google’s project to build software more powerful than the human brain. But what will this mean for the future of humankind?
https://www.theguardian.com/technology/2018/may/09/googles-ai-program-deepmind-learns-human-navigation-skills The scientists hoped that with training the AI program might develop its own grid cell-like activity, and that is precisely what they found. A quarter of the artificial neurons in one layer of the deep neural network had begun firing like biological grid cells. In other words, the AI hit on the same strategy to map out the world as the human brain did long ago. “We were surprised how well it worked,” said Caswell. “The degree of similarity is absolutely striking.”
Grid cells are fundamental for navigation in humans and other mammals. They behave as if an invisible mesh of hexagons has been laid over the land, firing rapidly when an animal crosses from one hexagon to the next. Inreality, some hexagons are big, others are small, and many overlap. Neuroscientists suspect that this imaginary mesh helps all mammals work out where they are and calculate the shortest path to their goal.

Deep Learning - With massive amounts of computational power, machines can now recognize objects and translate speech in real time. Artificial intelligence is finally getting smart.


YOUTUBE

Elon Musk on Google's DeepMind | ARTIFICIAL INTELLIGENCE (AI)!!

Google Duplex Demo from Google IO 2018

AlphaGo OST1 music

AlphaGo OST2


NHS kidney



Science fiction has long anticipated the rise of machine intelligence. Today, a new generation of self-learning computers is reshaping every aspect of our lives. Will A.I. usher in an age of unprecedented potential, or prove to be our final invention?

https://www.newyorker.com/magazine/2018/05/14/how-frightened-should-we-be-of-ai

https://www.nytimes.com/2018/02/12/technology/china-trump-artificial-intelligence.html?action=click&module=RelatedCoverage&pgtype=Article&region=Footer As China Marches Forward on A.I., the White House Is Silent By 2013, China was already producing more research papers than the United States in the area of “deep learning,” the main technology driving the rise of A.I., according to the Obama reports.
The Trump administration’s budget for 2018 aims to cut science and technology research funding across the government by 15 percent, according to a report from the American Association for the Advancement of Science. “They are headed in precisely the wrong direction,” said Thomas Kalil, who led O.S.T.P’s Technology and Innovation Division under President Obama. “That is particularly concerning given that China has identified this as a strategic priority.”
DeepMind: inside Google's super-brain
In Two Moves, AlphaGo and Lee Sedol Redefined the Future
https://www.wired.co.uk/article/lisa-randall-theoretical-physicist-filter-bubbles-interview
https://www.wired.co.uk/article/how-china-became-tech-superpower-took-over-the-west
https://www.wired.com/story/artificial-intelligence-researchers-gender-imbalance/
https://hackernoon.com/frontier-ai-how-far-are-we-from-artificial-general-intelligence-really-5b13b1ebcd4e AI is getting vastly more powerful, and will get even more so as it runs on ever more powerful computers, which raises legitimate concerns about what would happen if its power was left in the wrong hands (whether human or artificial)


The panel points out that public has turned “strongly against the tech giants” in light of the scandal involving Facebook and Cambridge Analytica.
It adds: “Against this background it is hardly surprising that the public should question the motivations of a company so closely linked to Google as Deepmind Health.”
Therefore, the report adds, it is “important for the public to have reassurance about Deepmind Health’s business model” with a focus on how patient data is used and how the company makes its money.


https://www.bbc.co.uk/programmes/b0916ghq Secrets of Silicon Valley


MIT Technology Review


https://www.youtube.com/watch?v=8nt3edWLgIg Can we build AI without losing control over it? | Sam Harris

https://www.bbc.co.uk/radio/play/b0bjppgn BBC Radio 4 - The New Age of Capitalism. Could artificial intelligence reinvent capitalism?

Women in AI

Research from MIT, evaluated commercial facial recognition software, to see if it could correctly identify gender based on 1,200 photographs. It found that it was correct for 99.2% of the time for light skin males, but women with darker-skin tone were only correctly classified as female 65.3% of the time.

Racial bias in algorithms
How I'm fighting bias in algorithms | Joy Buolamwini