Tomorrow Daily 042: Robot uses human blood to make art, all hail BabyX, and more
http://cnet.co/1sy7YwB On today #39;s show, Ashley and Khail discuss a man giving his own blood as a medium for a robot-printed selfie, a translucent sphere that shows interactive 3D imagery, and...
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Encryption | Sneak Preview [Rich Stone]
A new sci-fi television series starring JOE BENNETT as Rich Stone from director ARNIE VOYSEY. The first episode is set to be released on the 27th September 2014. - EPISODE SYNOPSIS - Sam...
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Lars Talks: On the politics and economics of tomorrow [Futurism Part 3]
Previous video: On artificial intelligence and the singularity http://youtu.be/yFQA5EdSG8E Next video: On the impact of a work less society on the human condition http://youtu.be/vUi64BQAVmU...
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Madden 15 Artificial Intelligence Is Highly Questionable - PS4 Gameplay
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ASMR - aftermeasure: Artificial Intelligence
Link to reddit post: http://www.reddit.com/r/sorceryofthespectacle/comments/2c2h2l/artificial_intelligence/
By: Misha Shivers
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Typically when we hear the term Artificial Intelligence, images of aliens, spaceships landing on Earth and Will Smith come to mind. While not exactly the extraterrestrial scene we may envision, Artificial Intelligence, or AI, is bringing human intelligence to everyday technologies. We are now able to form a relationship with our technology, use it to teach it about our behaviors and to improve how our businesses and communities operate.
Consider all the ways AI makes our lives easier
We are already accustomed to Amazons anticipatory shipping practices, where the company identifies items we may want to buy before we even begin our search, and Netflix is aptly curating movie recommendations in advance of any decisions we make. AI is transforming how we operate and rely on technology, enabling humans to work more efficiently and effectively than ever before, making our jobs simpler, our efforts more calculated and our outputs more accurate. Whether technology is simplifying our everyday experiences or predicting what we will want next, it is bringing a deeply personal experience to us all.
But how is Artificial Intelligence impacting our personal security and the way we keep our organizations safe?Enter the new wave of security, where AI meets traditional surveillance practices: intelligent video analytics.
While some traditional security measures in place today do have a significant impact in terms of decreasing crime or preventing theft, today video analytics gives security officers a technological edge that no surveillance camera alone can provide.
Surveillance systems that include video analytics analyze video footage in real-time and detect abnormal activities that could pose a threat to an organizations security. Essentially, video analytics technology helps security software learn what is normal so it can identify unusual, and potentially harmful, behavior that a human alone may miss.
It does this in two ways; first by observing objects in a monitored environment and detecting when humans and vehicles are present, and second by taking operator feedback about the accuracy of various events and incorporating this intelligence into the system itself, thus improving its functionality. This interaction between operator and technology results in a teachable system: Artificial Intelligence at its best in the realm of security where ultimately, human oversight takes a backseat to the fine-tuned capabilities of intelligent video analytics.
Eliminating human error is a key driver behind bringing Artificial Intelligence to security through intelligent video analytics. Studies have shown that humans engaged in mundane tasks have a directed attention capacity for up to 20 minutes, after which the human attention span begins to decrease. In addition, when humans are faced with multiple items at one time, attention spans will decrease even more rapidly. Therefore, video analytics are beginning to take the place of initial human judgment in an effort to increase operational efficiency.
While a security officer might miss a person sneaking into a poorly lit facility, a camera backed with intelligent video analytics is designed to catch a flash on the screen and recognize it as a potential threat. Or it will spot a person loitering at the perimeter of a schoolyard and alert on-the-ground security officials to investigate and take action if necessary, all without missing a beat and keeping close watch on the many cameras and locations.
Rather than depend on solely human monitoring, AI-powered systems instead notify security teams of potential threats as they happen, helping businesses prevent break-ins or illegal activity, as well as increasing human accuracy.
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The New Eyes of Surveillance: Artificial Intelligence and Humanizing Technology
Inside Bergs labs. Courtesy of Berg.
As far as medical science has advanced, weve still not come close to paralleling the amazing natural processes that go on, every day, in the human body.
Berg, a Boston-area startup, builds off that concept of studying healthy tissues to understand the bodys molecular and cellular natural defenses and what leads to a diseases pathogenesis. Its using concepts of artificial intelligence and big data to scope out potential drug compounds ones that could have more broad-ranging benefits, pivoting away from todays trend toward targeted therapies. The companys funded solely by Carl Berg, a Silicon Valley real estate kingpin.
AaronKrol over at Bio-IT Worldpenned a very thoughtful, probing and well-writtenpiece about the company: Berg and the Pursuit of the Bodys Hidden Drugs. He acknowledges the skepticism that comes hand-in-hand with Berg CEO Niven Narains claims: halving the time and cost of bringing a new drug to market, using molecules naturally found in the body to treat intractable diseases like cancer and diabetes.
But if Bergs approach proves to be feasible, it could have pretty far-reachingimplications for drug development, Krol says. Heres why:
Bergs first drug candidate also bucks a key trend in cancer care. Most pharma companies today are looking at narrowly-targeted cancer drugs, meant to treat small molecular subtypes of the disease. This has led to some of the biggest recent advances in oncology, with drugs like Herceptin and Gleevec seeing huge survival gains for their targeted patient populations, but it has also limited the impact of any one therapy.
By contrast, BPM 31510 has a broad mechanism of action, andBergis enrolling patients with any type of solid tumor in its clinical trials. If the therapy does turn out to be among the 10% or so of drugs that make it all the way from Phase I studies to FDA approval, the benefit to patients could be especially large.
Even a skeptic has to hold out a little hope for a result like that.
The companys AI platform, called Interrogative Biology, identifies potential drug candidates faster than human-led R&D efforts, Krol wrote, adding: If even a fraction of those treatments make a real difference to patients, it would represent a genuine advance for the industry.
Of course, this isnt the only company using artificial intelligence and big data computing to identify plausible new drug compounds North Carolina-basedCloud Pharmaceuticals, for instance,is raising $20 million to pursue a similar path.But this concept of in-silico testing is still a nascent field with seemingly few competitors, and it begs closer attention.
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Artificial intelligence, big data and harnessing the bodys hidden drugs
Nell Watson is an engineer, a futurist, and the founder and CEO of Poikos. As such, she knows a lot about the machines we use today, and the ones we're planning for tomorrow. And she's worried that the artificial intelligence of the near-future might decide the most benevolent thing to for mankind is to destroy it.
That's the concern Watson raised at The Conference, an annual gathering in Sweden focusing on technology and human behavior. In her talk, "Helping Computers to Understand Humans," Watson brings up a terrifyingly interesting point: The machine learning powering the artificial intelligence we have right now can't learn the nuanced lessons of human ethics.
You should really watch Watson's entire talkat just under 17 minutes long, it's jam-packed with insights on the current and future state of machine learning and artificial intelligence. Here, you don't even have to go anywhere:
Here's the brunt of Watson's argument, in case you can't watch the video for some reason:
When we start to see super-intelligent artificial intelligences, are they going to be friendly, or are they going to be unfriendly? [. . .] Having a kind intelligence is not quite enough, because to paraphrase Arthur C. Clarke, "any sufficiently benevolent action is indistinguishable from malevolence." If you're really, really, really kind, that might be seen as really evil. A truly kind intelligence might decide that the kindest and best thing for humanity is to end us.
Yeesh. Maybe Kubrick was right about HAL-9000 after all.
It's not all doom and gloom though (that would be a real downer of a lecture!). Watson ends her talk by issuing a challenge, saying "perhaps the most important work of all of our lifetimes may be to ensure that machines are capable of understanding human values."
Better get to work, engineers. We haven't got much of a head start. [The Conference; Wired via CNet]
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Top Engineer and Futurist: Tomorrow's Robots Might Mercy-Kill Mankind
Photo by Flickr user Scania Group
Researchers from MITs Computer Science and Artificial Intelligence Lab found that teams of human workers were at their happiest and most productive when their tasks were directed by robotic artificial intelligence.
Recognizing the value proposition provided by automated workers, the team, led by CSAIL student Matthew Gombolay, approached their research with the goal of harnessing a machines efficiency while still making use of human labor.
A team consisting of two humans and one robot were configured into three organizational models in order to compare how best to allocate different duties. All tasks were assigned by humans in the manually structured group, while the fully autonomous group featured tasks doled out only by robots. A third, semi-autonomous group split the difference, allowing one human to assign their own tasks while the other human was instructed by artificial intelligence. Each team was responsible for the gathering and assembly of specialized parts meant to be put together in under 10 minutes, mimicking a typical manufacturing setting.
Gombolays team found that participants in the study reported feeling at their most efficient and effective when working as a part fully autonomous group. While the human-led teams were as capable at assembling as their robot-led counterparts, the algorithms used by the robots artificial intelligence proved to be more effective at dealing with unexpected obstacles that could potentially slow down production.
While the conversation surrounding the role robots will play as a part of the manufacturing workforce typically focuses on the ways in which human workers could be made obsolete. This research, Gombolay said, could lead to situations in which human employees could be empowered by machines, rather than replaced by them.
In the future, Gombolay says, the scheduling and coordinating algorithms used in the experiment can be put to broader applications outside of manufacturing, including construction and search and rescue missions.
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Human workers report feeling most productive when led by artificial intelligence
IF/THEN: A collection of thought-provoking lectures and performances
A. DAWN OR DOOM: THE NEW TECHNOLOGY EXPLOSION Purdue will host an in-depth, interdisciplinary summit on the manifestations of artificial intelligence and the technology explosion. B. BRIAN...
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Should we be worried about digital artificial intelligence? | Prof Freeman Dyson | UCD, Ireland
Question: "We need to be think carefully about whether quantum devices are used for good or evil, should we also be concerned about digital Artificial Intelligence devices?" Prof Freeman...
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BRS Labs #39; AISight Revolutionizes SCADA With World #39;s First Behavioral Recognition Analytics Platform
Award-winning artificial intelligence system enables SCADA operators to recognize threats in real time and respond before alarm conditions have been met http://www.businesswire.com/news/home/20140...
By: BusinessWire
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Robotic Innovation - Artificial Intelligence - Documentary.flv
Robotic Innovation - Artificial Intelligence - Documentary.flv.
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Free Your Mind to Shine Radio: "Adventures Into Reality Pt. 1" w / Andrew Bartzis
In this 1st part of the 3 part series "Adventures Into Reality," Galactic Historian, Andrew Bartzis breaks down many different topics including: - "CERN" which is the dimensional teleport...
By: Asiya El
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Encryption Official Trailer #1
Sam Cross has begun developing an artificial intelligence that she one day hopes will be able to express a full range of human emotion. Official Encryption Website - http://encryptiondrama.com/...
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David L. Waltz Vice President, Computer Science Research NEC Research Institute Bringing Common Sense, Expert Knowledge, and Superhuman Reasoning to Computers
Artificial Intelligence (AI) is the key technology in many of today's novel applications, ranging from banking systems that detect attempted credit card fraud, to telephone systems that understand speech, to software systems that notice when you're having problems and offer appropriate advice. These technologies would not exist today without the sustained federal support of fundamental AI research over the past three decades.
Although there are some fairly pure applications of AI -- such as industrial robots, or the IntellipathTM pathology diagnosis system recently approved by the American Medical Association and deployed in hundreds of hospitals worldwide -- for the most part, AI does not produce stand-alone systems, but instead adds knowledge and reasoning to existing applications, databases, and environments, to make them friendlier, smarter, and more sensitive to user behavior and changes in their environments. The AI portion of an application (e.g., a logical inference or learning module) is generally a large system, dependent on a substantial infrastructure. Industrial R&D, with its relatively short time-horizons, could not have justified work of the type and scale that has been required to build the foundation for the civilian and military successes that AI enjoys today. And beyond the myriad of currently deployed applications, ongoing efforts that draw upon these decades of federally-sponsored fundamental research point towards even more impressive future capabilities:
In a 1977 article, the late AI pioneer Allen Newell foresaw a time when the entire man-made world would be permeated by systems that cushioned us from dangers and increased our abilities: smart vehicles, roads, bridges, homes, offices, appliances, even clothes. Systems built around AI components will increasingly monitor financial transactions, predict physical phenomena and economic trends, control regional transportation systems, and plan military and industrial operations. Basic research on common sense reasoning, representing knowledge, perception, learning, and planning is advancing rapidly, and will lead to smarter versions of current applications and to entirely new applications. As computers become ever cheaper, smaller, and more powerful, AI capabilities will spread into nearly all industrial, governmental, and consumer applications.
Moreover, AI has a long history of producing valuable spin-off technologies. AI researchers tend to look very far ahead, crafting powerful tools to help achieve the daunting tasks of building intelligent systems. Laboratories whose focus was AI first conceived and demonstrated such well-known technologies as the mouse, time-sharing, high-level symbolic programming languages (Lisp, Prolog, Scheme), computer graphics, the graphical user interface (GUI), computer games, the laser printer, object-oriented programming, the personal computer, email, hypertext, symbolic mathematics systems (Macsyma, Mathematica, Maple, Derive), and, most recently, the software agents which are now popular on the World Wide Web. There is every reason to believe that AI will continue to produce such spin-off technologies.
Intellectually, AI depends on a broad intercourse with computing disciplines and with fields outside computer science, including logic, psychology, linguistics, philosophy, neuroscience, mechanical engineering, statistics, economics, and control theory, among others. This breadth has been necessitated by the grandness of the dual challenges facing AI: creating mechanical intelligence and understanding the information basis of its human counterpart. AI problems are extremely difficult, far more difficult than was imagined when the field was founded. However, as much as AI has borrowed from many fields, it has returned the favor: through its interdisciplinary relationships, AI functions as a channel of ideas between computing and other fields, ideas that have profoundly changed those fields. For example, basic notions of computation such as memory and computational complexity play a critical role in cognitive psychology, and AI theories of knowledge representation and search have reshaped portions of philosophy, linguistics, mechanical engineering and, control theory.
By the early 1980's an "expert systems" industry had emerged, and Japan and Europe dramatically increased their funding of AI research. In some cases, early expert systems success led to inflated claims and unrealistic expectations: while the technology produced many highly effective systems, it proved very difficult to identify and encode the necessary expertise. The field did not grow as rapidly as investors had been led to expect, and this translated into some temporary disillusionment. AI researchers responded by developing new technologies, including streamlined methods for eliciting expert knowledge, automatic methods for learning and refining knowledge, and common sense knowledge to cover the gaps in expert information. These technologies have given rise to a new generation of expert systems that are easier to develop, maintain, and adapt to changing needs.
Today developers can build systems that meet the advanced information processing needs of government and industry by choosing from a broad palette of mature technologies. Sophisticated methods for reasoning about uncertainty and for coping with incomplete knowledge have led to more robust diagnostic and planning systems. Hybrid technologies that combine symbolic representations of knowledge with more quantitative representations inspired by biological information processing systems have resulted in more flexible, human-like behavior. AI ideas also have been adopted by other computer scientists -- for example, "data mining," which combines ideas from databases, AI learning, and statistics to yield systems that find interesting patterns in large databases, given only very broad guidelines.
Authorizing Financial Transactions
Credit card providers, telephone companies, mortgage lenders, banks, and the U.S. Government employ AI systems to detect fraud and expedite financial transactions, with daily transaction volumes in the billions. These systems first use learning algorithms to construct profiles of customer usage patterns, and then use the resulting profiles to detect unusual patterns and take the appropriate action (e.g., disable the credit card). Such automated oversight of financial transactions is an important component in achieving a viable basis for electronic commerce.
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Gamers Rating Top 5 Sexiest Artificial Intelligence on Games
Watch Gamers Rating Top 5 Sexiest Artificial Intelligence on Games. If you are a real gamers, you must watch this video to know about Top 5 Sexiest Artificia...
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Gamers Rating Top 5 Sexiest Artificial Intelligence on Games - Video
PCVT/Workshop 14-01: Robotics, artificial intelligence, computer vision.
Today Interlecta is hosting a seminar about robotics, artificial intelligence, computer vision. Organized by Orlin Dimitrov. - Captured Live on Ustream at http://www.ustream.tv/channel...
By: Neven Boyanov
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PCVT/Workshop 14-01: Robotics, artificial intelligence, computer vision. - Video
3. Artificial Intelligence, challenges and Achievements (Malayalam) By Ashish Jose
Topic:- Artificial Intelligence (Malayalam) By Ashish Jose Seminar Organized By :- Freethinkers Facebook Group (https://www.facebook.com/groups/ftkerala4) Ve...
By: Kerala Freethinkers Forum Official
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3. Artificial Intelligence, challenges and Achievements (Malayalam) By Ashish Jose - Video
Artificial intelligence (Malayalam - Full) By Ashish Jose
Topic:- Artificial Intelligence (Malayalam) By Ashish Jose Seminar Organized By :- Freethinkers Facebook Group (https://www.facebook.com/groups/ftkerala4) Ve...
By: Kerala Freethinkers Forum Official
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