The Fix Is In: AI Is Solving The Riddle Of Smarter, Faster Maintenance
By P.D. Olson – It might seem like a cushy job to be the man or woman who works out of the carpeted offices of a power plant, coordinating field service crews who traipse out into the elements to fix, say, an idled wind turbine. But it’s far from elementary. “It’s still a judgment call,” says Scott Berg, chief operating officer of ServiceMax from GE Digital. “Dispatchers probably can’t consider all the historic factors and track record of the individual. Your ability to dispatch might be dependent on your personal knowledge of 20 people.”
But starting this year, artificial intelligence will help make some of those decisions less complex. “We call it intelligent dispatching,” Berg says.
ServiceMax leads the global industry of field service management software — an estimated $25 billion market worldwide. The ServiceMax research team is now developing algorithms that will help dispatchers pick the right repair person by scanning each individual’s work history and predicting which technician would be the quickest and most reliable at a particular task.
The new AI-driven suggestions will offer details that most people wouldn’t be able to remember, never mind calculate together with all the other parameters to consider, such as a field worker’s skill set, time available and distance to the site. “We’re running a proof of concept now,” Berg says. more>
Posted in Business, Economy, Education, How to, Product, Technology
Tagged AI, Artificial intelligence, Business improvement, field service, GE, Jobs, Productivity, Technology
By Gregory C. Allen – Every type of animal, whether insect, fish, bird, or mammal, has a suite of sensors (eyes, ears, noses), tools for moving and interacting with its environment (arms, beaks, wings, fins), and a high-speed data processing and decision-making center (brains).
Humans do not yet know how to replicate all the technologies and capabilities of nature, but that these capabilities exist in nature proves they are indeed possible.
Humans do not know what the ultimate technological performance limit for autonomous robotics is. But it can be no lower than the very high level of performance that nature has proven possible with the pigeon, the goose, the monkey, the mouse, or the dolphin.
The United States is far from the only country interested in these capabilities. In 2015, Russian scientists celebrated their development of a robotic “cockroach,” which they said would be an ideal platform for secretly recording conversations and taking photographs. One can easily imagine such a cockroach being outfitted with venom and an injector needle, making it an ideal platform for covert assassination as well. more> https://goo.gl/Wd1Ecv
Looking For The Unknown: Artificial Intelligence Is Seeking Cancer Patterns That Have Eluded Humans
By Maggie Sieger – The use of AI in healthcare, which was one of the topics discussed at GE’s recent Minds + Machines conference in Berlin, is a fast-growing field. Scientists are using so-called “deep learning networks,” which weave together hundreds, if not thousands, of data points and process this data with multiple algorithms simultaneously, mimicking the human brain.
When crossing the street, pedestrians take into account dozens of factors, including the number and speed of approaching cars, the condition of the pavement, fellow travelers and even the shoes they are wearing or what they are carrying. Deep learning has the potential to do the same thing – but with even more data points and at speeds unmatched by humans.
They are feeding millions of data points into the cloud, including decades of colorectal data collected by national registries, thousands of MRIs and CT scans, gene panels and biomarkers. The software then looks for patterns, connections and correlations with a speed and detail unmatched by humans.
As AI becomes a more common tool in healthcare, medical schools will have to change how they train physicians to make sure they have the new capabilities, skill sets and methodologies to use AI effectively, more> https://goo.gl/2kME5a
Posted in Economy, Education, Healthcare, History, Nature, Science, Technology
Tagged Artificial intelligence, Brain, Deep learning networks, GE, Medical diagnosis
Expressivism, Pragmatism and Representationalism, Author: Huw Price.
By Huw Price – One way or another, then, we are going to be sharing the planet with a lot of non-biological intelligence. Whatever it brings, we humans face this future together. We have an obvious common interest in getting it right. And we need to nail it the first time round. Barring some calamity that ends our technological civilization without entirely finishing us off, we’re not going to be coming this way again.
If we are to develop machines that think, ensuring that they are safe and beneficial is one of the great intellectual and practical challenges of this century. And we must face it together – the issue is far too large and crucial to be tackled by any individual institution, corporation or nation. Our grandchildren, or their grandchildren, are likely to be living in a different era, perhaps more Machinocene than Anthropocene.
Our task is to make the best of this epochal transition, for them and the generations to follow. We need the best of human intelligence to make the best of artificial intelligence. more> https://goo.gl/dHx4jd
Posted in Book review, EARTH WATCH, Economy, Education, History, Nature, Science, Technology
Tagged Artificial intelligence, Brain, Earth, Industrial economy, Machines, Technology
Factory Automation with industrial robots for palletizing food products like bread and toast at a bakery in Germany, robotics (Photo credit: Wikipedia)
By Todd Brun – Faster turnovers, higher line speeds, more throughput, less operator intervention, Big Data, virtualization, “lights out” manufacturing — these are all hot topics in automation circles.
Things to contemplate:
- Are you thinking outside the box?
- What functions must your control system deliver?
- Do you really understand your processes and operations?
- How can automation support tomorrow’s workforce?
- Location, location, location
- Do you leverage what is working well?
- Is flexibility engineered into your systems?
- Are you leveraging the available knowledge and skills?
Change is relentless. Change is difficult. Change is sometimes scary. You can’t stop it, but you can embrace it and benefit from it. more> http://tinyurl.com/ohr5362
Posted in Business, Economy, Education, How to, Leadership, Net, Technology
Tagged Artificial intelligence, Automation, Business improvement, Industrial economy, Jobs, Leadership, Manufacturing, Organization, Technology, United States
By Zeeya Merali – Physicists can now offer us the ability to test whether we live in our own virtual Matrix, by studying radiation from space. As fanciful as it sounds, some philosophers have long argued that we’re actually more likely to be artificial intelligences trapped in a fake universe than we are organic minds in the “real” one.
So should we say yes to the offer to take the red pill and learn the truth €” or are the implications too disturbing?
But if learning that truth means accepting that you may never know for sure what’s real €” including yourself €” would you want to know? more> http://tinyurl.com/kb98qwq
Posted in Education, Nature, Science, Technology
Tagged Artificial intelligence, Matrix, Philosophy, Physics, Reality, Red pill and blue pill, Seth Lloyd, Technology
IBM – IBM (NYSE: IBM) today (Jan 10) announced that it received a record 6,478 patents in 2012 for inventions that will enable fundamental advancements across key domains including analytics, Big Data, cybersecurity, cloud, mobile, social networking and software defined environments, as well as industry solutions for retail, banking, healthcare, and transportation. These patented inventions also will advance a major shift in computing, known as the era of cognitive systems.
This is the 20th consecutive year that IBM topped the annual list of U.S. patent recipients.
“We are proud of this new benchmark in technological and scientific creativity, which grows out of IBM’s century-long commitment to research and development,” said Ginni Rometty, chairman and CEO, IBM. “Most concretely, our 2012 patent record and the two decades of leadership it extends are a testament to thousands of brilliant IBM inventors — the living embodiments of our devotion to innovation that matters, for our clients, for our company and for the world.” more> http://tinyurl.com/affyvfs
Posted in Business, Economy, Intellectual Property, Technology
Tagged Artificial intelligence, Big data, Business improvement, Ginni Rometty, IBM, Industrial economy, Invention, Patent, United States
September 4, 1927 – October 24, 2011
R&D Mag – McCarthy was a leader in the artificial intelligence field, coining the term in a 1955 research proposal. He said “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.”
He went on to create the MIT Artificial Intelligence Lab and the Stanford Artificial Intelligence Lab, serving as its director from 1965 to 1980.
In 1958, McCarthy invented the programming language Lisp, which paved the way for voice recognition technology, including Siri, the personal assistant application on the newest iPhone.
McCarthy also developed the concept of computer time-sharing, which allowed multiple users to interact with a single computer. That lay the foundation for cloud computing today. more> http://tinyurl.com/o857jek
Posted in Education, History, Leadership, Net, Technology
Tagged Artificial intelligence, Electronics, iPhone, John McCarthy, Lisp, List of Stanford University Centers and Institutes, Programming language, Siri, Software, United States