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Category: robotics/AI – Page 2197

For people in that area, and it may be worth while to try reaching out to them for funding for anti aging stuff.

Why is RAND opening a Bay Area office?

The San Francisco Bay Area is really at the center of technology and transformation. That’s also been a focus at RAND since our very first report, Preliminary Design of an Experimental World-Circling Spaceship, in 1946, which foretold the creation of satellites more than a decade before Sputnik.

Today, our researchers are working on important questions related to autonomous vehicles, drones, cybersecurity, education technology, virtual medicine—the same questions driving Silicon Valley startups and billion-dollar Bay Area corporations. At the same time, we’re looking at issues surrounding social inequality, drug policy, water resource management, and transportation, all of which directly relate to the Bay Area.

Continue reading “Innovation in the Bay Area: Q&A with Nidhi Kalra” | >

Some weird religious stories w/ transhumanism Expect the conflict between religion and transhumanism to get worse, as closed-minded conservative viewpoints get challenged by radical science and a future with no need for an afterlife: http://barbwire.com/2017/04/06/cybernetic-messiah-transhuman…elligence/ & http://www.livebytheword.blog/google-directors-push-for-comp…s-explain/ & http://ctktexas.com/pastoral-backstory-march-30th-2017/

By J. Davila Ashcroft

The recent film Ghost in the Shell is a science fiction tale about a young girl (known as Major) used as an experiment in a Transhumanist/Artificial Intelligence experiment, turning her into a weapon. At first, she complies, thinking the company behind the experiment saved her life after her family died. The truth is, however, that the company took her forcefully while she was a runaway. Major finds out that this company has done the same to others as well, and this knowledge causes her to turn on the company. Throughout the story the viewer is confronted with the existential questions behind such an experiment as Major struggles with the trauma of not feeling things like the warmth of human skin, and the sensations of touch and taste, and feels less than human, though she is told many times she is better than human. While this is obviously a science fiction story, what might comes as a surprise to some is that the subject matter of the film is not just fiction. Transhumanism and Artificial Intelligence on the level of the things explored in this film are all too real, and seem to be only a few years around the corner.

Recently it was reported that Elon Musk of SpaceX fame had a rather disturbing meeting with Demis Hassabis. Hassabis is the man in charge of a very disturbing project with far reaching plans akin to the Ghost in the Shell story, known as DeepMind. DeepMind is a Google project dedicated to exploring and developing all the possible uses of Artificial Intelligence. Musk stated during this meeting that the colonization of Mars is important because Hassabis’ work will make earth too dangerous for humans. By way of demonstrating how dangerous the goals of DeepMind are, one of its business partners, Shane Lange is reported to have stated, “I think human extinction will probably occur, and this technology will play a part in it.” Lange likely understands what critics of artificial intelligence have been saying for years. That is, such technology has an almost certain probability of become “self aware”. That is, becoming aware of its own existence, abilities, and developing distinct opinions and protocols that override those of its creators. If artificial intelligence does become sentient, that would mean, for advocates of A.I., that we would then owe them moral consideration. They, however, would owe humanity no such consideration if they perceived us as a danger to their existence, since we could simply disconnect them. In that scenario we would be an existential threat, and what do you think would come of that? Thus Lange’s statement carries an important message.

Continue reading “The Cybernetic Messiah: Transhumanism and Artificial Intelligence” | >

Libratus, an AI built by Carnegie Mellon University (CMU), racked up over $US1.7 million ($2.2 million) worth of chips against four of the top professional poker players in the world in a 20-day marathon poker tournament that ended in Philadelphia on Tuesday…

While machines have beaten humans over the last two decade in chess, checkers, and most recently in the ancient game of Go, Libratus’ victory is significant because poker is an imperfect information game — similar to the real world where not all problems are laid out.

The difficulty in figuring out human behaviour is one of the main reasons why poker was considered immune to machines.

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A tsunami of change is already arriving. Artificial intelligence is now capable of doing desk jobs that were previously safe from automation. The social and economic effects remain to be seen, but is AI what we think it is?

Workplaces that include (AI) will soon be reality, say researchers who believe the rise of AI in all areas of life is not only inevitable, it’s set to reshape the way we think about consciousness and human identity.

From Metropolis to 2001: A Space Odyssey and The Terminator, robots and super-intelligent AIs in film have seduced and terrified our collective consciousness, having an impact on how we view artificial intelligence. But will they really crush the puny humans and take over the world?

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Microsoft is bringing its Cognitive Toolkit version 2.0 out of beta today and should be helping out a ton of companies who depend on tools to deploy deep learning at scale.

The Cognitive Toolkit or CNTK to some is a deep learning tool that helps companies speed up the process of image and speech recognition. Thanks to today’s update, CNTK can now be used by companies either on-premises or in the cloud combined with Azure GPUs.

Cognitive Toolkit is being used extensively by a wide variety of Microsoft products, by companies worldwide with a need to deploy deep learning at scale, and by students interested in the very latest algorithms and techniques. The latest version of the toolkit is available on GitHub via an open source license. Since releasing the beta in October 2016, more than 10 beta releases have been deployed with hundreds of new features, performance improvements and fixes.

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Amazon is using a “simulated dog” to test its delivery drones, according to IBTimes.

The e-commerce giant wants to use drones to deliver parcels to customers in less than 30 minutes but it clearly has some concerns about how dogs might interfere.

At least one simulated dog is being used to “help Amazon see how UAVs [unmanned aerial vehicles] would respond to a canine trying to protect its territory,” according to IBTimes.

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OpenAI vs. Deepmind in river raid ATARI.

AI research has a long history of repurposing old ideas that have gone out of style. Now researchers at Elon Musk’s open source AI project have revisited “neuroevolution,” a field that has been around since the 1980s, and achieved state-of-the-art results.

The group, led by OpenAI’s research director Ilya Sutskever, has been exploring the use of a subset of algorithms from this field, called “evolution strategies,” which are aimed at solving optimization problems.

Despite the name, the approach is only loosely linked to biological evolution, the researchers say in a blog post announcing their results. On an abstract level, it relies on allowing successful individuals to pass on their characteristics to future generations. The researchers have taken these algorithms and reworked them to work better with deep neural networks and run on large-scale distributed computing systems.

Continue reading “OpenAI Just Beat Google DeepMind at Atari With an Algorithm From the 80s” | >

OpenAI researchers were surprised to discover that a neural network trained to predict the next character in texts from Amazon reviews taught itself to analyze sentiment. This unsupervised learning is the dream of machine learning researchers.

Much of today’s artificial intelligence (AI) relies on machine learning: where machines respond or react autonomously after learning information from a particular data set. Machine learning algorithms, in a sense, predict outcomes using previously established values. Researchers from OpenAI discovered that a machine learning system they created to predict the next character in the text of reviews from Amazon developed into an unsupervised system that could learn representations of sentiment.

“We were very surprised that our model learned an interpretable feature, and that simply predicting the next character in Amazon reviews resulted in discovering the concept of sentiment,” OpenAI, a non-profit AI research company whose investors include Elon Musk, Peter Thiel, and Sam Altman, explained on their blog. OpenAI’s neural network was able to train itself to analyze sentiment by classifying reviews as either positive or negative, and was able to generate text with a desired sentiment.

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