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/2014/jan/27/google-acquires-uk-artificial-intelligence-startup-deepmindGoogle buys UK artificial intelligence startup Deepmind for £400m
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®ion=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-interviewhttps://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
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