Singapore has been hailed as one of the smartest cities in Asia. SINGAPORE has been getting a lot of positive press lately. In the last month alone, General Electric announced the opening of a high-tech service center in the city-state, while Proctor & Gamble launched a new digital innovation hub. While the tiny island nation has long been used by MNCs as a launchpad for Asia, it's clear Singapore has become the innovation cluster in the region to watch. The latest news from Tech in Asia confirms this, as Singularity University (SU) has officially launched a Singapore chapter last week.

Fears of robot automation muscling humans out of jobs have grown exponentially as automated technology has evolved, especially in the manufacturing industry. But General Electrics CEO Jeff Immelt claims that robots won't steal human jobs any time soon. Immelt, 61, states that the idea of robots stealing human jobs is'more of a Silicon Valley vision than the real world.' The comments are likely to stir controversy as General Electrics, with more than 300,000 employees worldwide, has already invested billions in automation. General Electrics CEO Jeff Immelt (pictured) claims that robots won't steal human jobs any time soon.

It is essential for Indian industries to understand the worth of amalgamating Internet of Things and Artificial Intelligence together. This symbiotic mashup has a string of industrial advantages which should be explored, as India moves towards the next industrial revolution. Entrepreneur spoke to Babu Narayanan, Senior Principal Scientist, Software & Analytics at General Electric on the benefits of integrating artificial intelligence with Internet of Things, in the industrial context. When asked about the novelty of this phenomenon, Narayanan said that the concept of integration of AI and IoT in the industrial context is new throughout the world. "The Digital Twin is the foundational concept here – a continuously improving digital replica of a physical system that can predict future events and help optimize operations. We want to push the industry towards zero unplanned downtime & always optimized systems.

We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bonds between pairs of variable by considering one pair at a time and using a closed form formula, analytically derived by calculating the posterior probability for every possible model explaining a two body system using Jeffreys prior. The approach does not rely on the optimization of any cost functions and consequently is much faster than existing algorithms. Despite this time and computational advantage, numerical results show that for several sparse topologies the algorithm is comparable to the best existing algorithms, and is more accurate in the presence of hidden variables. We apply this approach to the analysis of US stock market data and to neural data, in order to show its efficiency in recovering robust statistical dependencies in real data with non-stationary correlations in time and/or space.

General Electric builds jet engines and wind turbines and medical gear. But the 124-year-old industrial giant is also transforming itself for the digital age. It's fashioning software that pulls data from all this hardware, hoping to gain an insight into industrial operations that was never possible in the past. The problem is that analyzing all this data is difficult, and the talent needed to make it happen is scarce. So GE is going shopping.

General Electric builds jet engines and wind turbines and medical gear. But the 124-year-old industrial giant is also transforming itself for the digital age. It's fashioning software that pulls data from all this hardware, hoping to gain an insight into industrial operations that was never possible in the past. The problem is that analyzing all this data is difficult, and the talent needed to make it happen is scarce. So GE is going shopping.

General Electric builds jet engines and wind turbines and medical gear. But the 124-year-old industrial giant is also transforming itself for the digital age. It's fashioning software that pulls data from all this hardware, hoping to gain an insight into industrial operations that was never possible in the past. The problem is that analyzing all this data is difficult, and the talent needed to make it happen is scarce. So GE is going shopping.

General Electric said on Tuesday it has acquired two tech startups to build its artificial intelligence capability, a move that helps it compete with IBM's Watson product. GE ge said the acquisitions of Bit Stew Systems and Wise.io will expand its Predix platform for industrial internet applications, which connects big machines such as power plants and aircraft engines to databases and analytical software. Terms of the deals weren't disclosed. Berkley, California-based Wise.io has advanced machine learning technology that GE sees "as really well-built for the industrial world," Bill Ruh, chief executive officer of GE Digital, GE's software arm, said in an interview. A branch of artificial intelligence, machine learning allows computers to adapt to new data without new programming.

General Electric (GE), the largest industrial company in the US, says it has developed processes that more than double the speed of innovation and which have the potential to completely restructure its own business. GE will next week launch its first business venture, called Fuse, that will test a hugely ambitious and radical approach to creating new companies through processes and technologies designed to harness the work of global crowds of experts. Dyan Finkhousen is Director of GE's Open Innovation and Advanced Manufacturing group. The GE startup "will usher in what we believe is the future of work," said Dyan Finkhousen, Director of GE's Open Innovation and Advanced Manufacturing group. See also: Emerging technologies to power your systems of insight Obama's report on the future of artificial intelligence: The main takeaways Robot security: Making sure machines don't become the latest big threat She was speaking at Brightidea's Synthesize user conference in San Francisco.

This image, from a 1962 internal General Electric document, conveyed the idea of random access storage using a set of "pigeon holes" in which data could be placed. Fifty-three years ago a small team working to automate the business processes of the General Electric Company built the first database management system. The Integrated Data Store--IDS--was designed by Charles W. Bachman, who won the ACM's 1973 A.M. Turing Award for the accomplishment. Before General Electric, he had spent 10 years working in engineering, finance, production, and data processing for the Dow Chemical Company. He was the first ACM A.M. Turing Award winner without a Ph.D., the first with a background in engineering rather than science, and the first to spend his entire career in industry rather than academia.