Teaming humans with robotic AI will remake modern manufacturing


"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


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.



The global logistics industry is "unsophisticated" and due for a major shake-up, according to the boss of a cargo-handling giant. Mika Vehvilainen, chief executive of Finnish company Cargotec, expects autonomous vehicles and artificial intelligence to disrupt the market in coming years. "But it's also, from an operating cost point-of-view, clearly [beneficial] – about 40 per cent of port operating costs today in the Western world are labour costs. Meanwhile, the chief executive said his business had been negatively affected by the UK's Brexit vote last year.

Deutsche Bank boss says 'big number' of staff will lose jobs to automation


The chief executive of Deutsche Bank has issued a stark warning about the impact of technology, saying a "big number" of his staff will lose their jobs as robots take over. In remarks reported by German publication Handelsblatt at a conference in Frankfurt, Cryan added: "The sad truth for the banking industry is, we won't need as many people as today." Cryan told the conference that Germany and Frankfurt had to decide how much they wanted to benefit from Brexit. While new finance jobs will be created in Dublin, Amsterdam and Paris – all vying for business leaving London – none of these have the infrastructure to take on the business.

How artificial intelligence will reshape our lives


"Over the next 20 years approximately 44 per cent of Australia's jobs, that's more than 5 million jobs, are at risk of being disrupted by technology, whether that's digitisation or automation," he said. "The sort of job losses that we did see in the manufacturing sector in Australia -- the car manufacturing sector -- are going to get into the administrative services and financial services sector in downtown CBD postcodes and that's the big challenge that lies in front of us," he said. Mr Thorpe agrees, adding that white-collar workers in Australia were "the big growth sector over the last 30 years". Mr Hajkowicz said the technology behind digital currency bitcoin -- known as blockchain -- also threatens to seriously shake up the industry.

Artificial Intelligence and the Role of Workers


Already, robotic process automation (rules-based software) is rapidly advancing from handling traditional applications for repetitive tasks to handling continuously changing tasks. And, in fact, AI will gradually replace humans in some functions like customer service, personal assistants and document processing. Indeed, they're even thinner on the ground than they were in 2008 when, answering a similar question, CEOs indicated people with technological skills are more plentiful today than ever before. But one thing's clear: business leaders in all industries and functions must move rapidly to drive value from AI.

AI In The Workplace: Preparing For The Fourth Industrial Revolution


From the printing press to the digital age, new technology has long had a tendency to be viewed as disruptive, and is often met with resistance in the workplace. This is also the case when new advancements shift or evolve how we work. Artificial Intelligence (AI), what many have deemed the cause of the "fourth industrial revolution," is no different. While humans aren't always inventing new things, one thing we're really good at is figuring out how to do things better, faster, and more efficiently. Thirty years ago, robots might have seemed limited to science fiction novels, but even today there are many industries that have seen the shift towards automation take hold.

Where Does Automated Customer Benchmarking Make Sense?


A customer benchmarking engine is an emerging technology which uses an artificial intelligence approach to automate the reasoning that underlies data-driven benchmarking. Its benefits are discussed here, there, and elsewhere. Briefly, it uncovers comparative insights on customers which empower customer-focused employees to be more proactive, or which are shown directly to those customers as a premium information service. The business benefits include churn reduction, market differentiation, extra revenue, and deeper customer relationships. But, automated customer benchmarking doesn't always make sense.

Study: Consumers tap brakes on self-driving car tech


DETROIT -- Automakers have been rushing to develop self-driving technologies, but some consumers might be ready to tap the brakes. The J.D. Power 2017 U.S. Tech Choice Study shows an increased wariness of fully self-driving technology since last year even as consumers continue to want technology that assists drivers. The study highlights a risk automakers are concerned about -- the negative impression that high-profile but isolated accidents can have on the perceived safety of driverless cars. And yet, both J.D. Power researchers and industry experts say consumers will eventually come around. "The engineering will get there.

Artificial intelligence is key to self-driving networks


The European Telecommunications Standards Institute (ETSI), which wrote the original specification for network functions virtualisation (NFV), has set up its experiential network intelligence industry specification group to handle the task. He sees many parallels between the evolution of cars and where networks can get to. "Years ago, cars were painfully manual, but we've made it much more convenient and 14 years ago we started looking at self-driving cars, which is an absolute disruptive change." In order for self-driving networks to become a reality, vendors and providers must fully collaborate, he says. Interestingly, ETSI's AI initiative, which has an initial two-year work programme, is coming from vendors, ETSI director general Luis Jorge Romero told GTB at Mobile World Congress.