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Teaming humans with robotic AI will remake modern manufacturing

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"Through 3D printing, fast automation, artificial intelligence, advanced IT systems," Weber said. His lab recently trained a Baxter assembly robot to understand and respond to natural language commands. Researchers from MIT's Computer Science and AI Lab (CSAIL) recently revealed their similar efforts, which they've dubbed ComText -- as in "commands in context". The current problem is that robots generally see the world at a relatively low level -- in pixels and sensor readings -- but humans see it as related concepts, connected to form reasoning and higher order thinking, Paul explained.


Drones and the Age of Automation

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Deep Learning or DL is a subfield of machine learning which makes use of artificial neural networks, a mathematical system inspired by the way neurons function in the human brain. AI is fast becoming an integral part of the drone industry by enhancing the intelligence of the drone systems with respect to flight operations, data management and most importantly traffic management. DL as already discussed earlier is an AI technique that gains knowledge through training a neural network, a computer system that's designed to process information like the human brain. It provides a complete end to end solution where it will design the optimum flight path for the drone in order to capture the most complete data for any use-case, fly the drone across this flight path and generate and analyze thorough 3D models based on the data captured.


Banking Technology Vision 2017

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Freedom to innovate THOSE THAT DO EXPECT MORE: Opportunity to develop standards that others follow Expanded opportunities for trusted partnerships 6. www.accenture.com/bankingtechvision DESIGN FOR HUMANS CUSTOMER JOURNEYS NOW RUN INSIDE AND OUTSIDE THE BANK Digital banking models, such as ecosystem platforms and channels not owned by banks, will bring consumers from outside the sphere of the bank's knowledge. WORKFORCE MARKETPLACE ON-DEMAND TALENT AS A TRUE BANKING INNOVATION Create an agile workforce to access sought-after skills, knowledge and experience as-needed for more flexible ways of working. DESIGN FOR HUMANS CUSTOMER JOURNEYS NOW RUN INSIDE AND OUTSIDE THE BANK Digital banking models, such as ecosystem platforms and channels not owned by banks, will bring consumers from outside the sphere of the bank's knowledge. WORKFORCE MARKETPLACE ON-DEMAND TALENT AS A TRUE BANKING INNOVATION Create an agile workforce to access sought-after skills, knowledge and experience as-needed for more flexible ways of working.


3 types of artificial intelligence, but only 2 are valid

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Current AI applications can be broken down into three loose categories: Transformative AI, DIY (Do It Yourself) AI, and Faux AI. Transformative AI turns data into insights and insights into instructions. While there is indeed a finite set of actions involved in driving, the data set the AI must process shifts every single time the passenger gets into the car based on road conditions, destination, route, oncoming and surrounding traffic, street lanes, street closures, proximity to neighboring vehicles, a pedestrian stepping out in front of the car, and so on. DIY AI is any artificial intelligence platform whose end goal is to make you, the user, more informed so that you can then do the remaining work yourself.


AI in self-driving cars - NVIDIA and Bosch collaboration

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Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.


Flipboard on Flipboard

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From winning Jeopardy in 2011 to helping write a sad song last year, IBM's Watson cognitive computing platform is all over popular culture. Press releases fly out about Watson producing a movie trailer, powering a Macy's shopping app, even controlling lights on an internet-connected dress--along with more serious applications like working on cancer treatments. It seems, from IBM's hype, that Watson can do everything. But Bernie Meyerson, IBM's chief innovation officer, wants to dial back the hype in some ways, calling Watson "just the first step on a very, very long road." Watson can be helpful in a lot of industries, such as medicine, which are awash in data, but it can't replace people, he says.


Artificial Intelligence and Machine Learning among top enterprise technology trends in 2017: Nitin Mishra, Netmagic Solutions

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What the year 2016 has been for all things tech. Blockchain exploded onto the scene, followed by AI, augmented reality, IoT, conversational interfaces and digital which saw mainstream acceptance. It was the year when these technologies leaped off the slides of executive presentations and began their steady march towards the enterprise. As we look forward to what is to come, here are some emerging technologies and concepts that are poised to fire off the grounds in major style in 2017. Artificial Intelligence and Machine Learning to gain ground For years, artificial intelligence has been the stuff of sci-fi stories.


Intel invests in Nokia's old mapping division

Engadget

Intel has announced that it's buying a 15 percent stake in Here, the mapping company that was spun out of Nokia, for an undisclosed fee. The chipmaker has also revealed that the pair will work together to build a new high-definition mapping platform for self-driving cars. Since the rest of Here is owned by the German car industry, it's not hard to see who might be interested in using that sort of technology. Here was one of Nokia's last remaining jewels as the Finnish phone maker gradually atrophied on the way to Microsoft's disastrous buyout. It was put up for sale in 2015, with Uber rumored to be the most likely destination for the business.


Market intelligence – ERT

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The term AI is being bandied about in all forms of media, but do many people actually understand how Artificial Intelligence is now becoming part of the consumer-electronics landscape in some of the most everyday products – almost making smart technology seem old hat by comparison. The reality is that in order for AI to function, you need smart devices to metaphorically'join the dots' to create an AI solution that works for you in your environment. Probably the most recognised mainstream AI product to come to market is the Amazon Echo, which is expected to sell three million units in 2016, with forecasts of 10m for 2017. You'll know the product – it's that black cylinder with a blue pulsating light on top, promoted through those awful adverts where some chap asks Alexa to add tennis balls and bananas to his shopping list. In essence, Amazon Echo and its sibling Dot – which has no speaker but effectively does the same thing – are intended to be your assistant, connecting all your smart devices.


Artificial Intelligence Pioneer Ditto raises Series C Round

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Ditto Labs, Inc., a pioneer in deep learning announced today that Red Fort Capital led a new round of investment in the vision-as-a-service company. Ditto's vision-as-a-service API can find nearly anything appearing in a photo -- a specific product, brand logo, location, demographic profile -- even subjective measures of sentiment -- in near real time. Ditto's service is a high value AI application for thousands of digital business's. "Humans can no longer keep up: ubiquitous cameras are casting off reams of big data. Today, critical business decisions need computers to act on visual data at massive scale and in real-time," said Red Fort Capital CEO Parry Singh.