Chinese academic institutions are more prolific patent filers in the artificial intelligence (AI) area than domestic companies, according to China's State Intellectual Property Office (SIPO). SIPO shared the statement, based on a release from China IP News, on Wednesday, August 1. The release is based on "China's AI Development Report 2018", which was recently published by Tsinghua University, in Beijing. The university's report revealed that the most prolific filers in AI tend to come from research institutions, such as universities. Unlike in other countries, industry players in China file fewer patents in the AI sphere than those in research institutions. The country's "top IT giants" such as Alibaba and Tencent are "overwhelmed" by the filings of foreign companies, such as IBM and Microsoft, SIPO said.

Intelligent Process Automation: the name itself is daunting, never mind the acronym - yet another one from the ICT world - of IPA. But what is it, exactly? And how can it help your business grow? McKinsey - yes, they of the discredited Gupta/Eskom/Trillian deal - says IPA will be at the core of the next operating model. The technology, the consultancy says, is seeing impressive results; some companies have automated as much as 70% of their tasks, and are, as a result, seeing return on investment in the triple digits - that's in the hundreds.

It covers self-study tutorials and end-to-end projects on topics like: Loading data, visualization, modeling, algorithm tuning, and much more...

The Nigerian government has approved the establishment of a new agency for robotics and artificial intelligence (AI) as the country begins work on a strategic policy blueprint to commit more resources to research in science and technology. Minister of Science and Technology, Dr Ogbonnaya, announced over the weekend, at a political rally of the All Progressives Congress in Abakaliki, capital of Ebonyi state that the agency has been given the official nod by President Muhammadu Buhari. The new agency to be set up in the south east of Nigeria, probably in Abakaliki or Enugu, according to insiders in the ministry of Science and Technology, would leverage collaborations with international research bodies on robotics and AI. It will enabled research and teachings in more complex technology skills to thousands of young people. "The ultimate goal is to have an agency mandated solely on advancing our knowledge and usability of robots and AI across sectors in Nigeria. The idea is to leapfrog our growth" said a source at the presidency.

It wasn't too long ago that the concept of carrying a sophisticated computer, camera and phone, all rolled into one gadget fitting in your pocket, was the stuff of science fiction. Now smartphones are everywhere and they're getting smarter all the time. Imagine when your phone will be able to diagnose most of your medical problems for you based on artificial intelligence (AI) in the cloud, saving you a trip to the doctor. The app could issue a diagnosis and a prescription, and your local pharmacy could 3D-print your medicine. This exciting new frontier is part of the Fourth Industrial Revolution (4IR), a period of rapid change driven by progress in science and technology.

"I will not sell the future for instant profit!" Werner von Siemens, 1884 In Atlas Shrugged (1957), by Ayn Rand, the system falls apart to the point that the remaining producers choose to simply withdraw rather than proliferate and disrupt the society from within. "In 1995, Fukuyama argued that only those societies with a high degree of social trust would be able to create the kind of flexible, large-scale business organizations that are needed for successful competition in the global economy." Carrying proudly the responsibility of its 170 years history and legacy, a Tech Giant, an Atlas of the modern era of turbulent markets and exponentially growing challenges, the largest industrial manufacturing company in Europe with its footprint in 180 countries around the globe, the German conglomerate company Siemens AG (German pronunciation: [ˈziːmɛns]) is shaping the future – the digital future. "With its Vision 2020, Siemens has recently once again clearly answered these questions: a company faces up to its responsibilities, furnishes lasting benefit and generates added value from a position of strength – for its shareholders, employees, customers, business partners and societies all over the world. Joe Kaeser, President and Chief Executive Officer of Siemens AG, puts it like this: "Only the strong can help the weak, take responsibility and then fulfill it.

Extracting characteristics from the training datasets of classification problems has proven effective in a number of meta-analyses. Among them, measures of classification complexity can estimate the difficulty in separating the data points into their expected classes. Descriptors of the spatial distribution of the data and estimates of the shape and size of the decision boundary are among the existent measures for this characterization. This information can support the formulation of new data-driven pre-processing and pattern recognition techniques, which can in turn be focused on challenging characteristics of the problems. This paper surveys and analyzes measures which can be extracted from the training datasets in order to characterize the complexity of the respective classification problems. Their use in recent literature is also reviewed and discussed, allowing to prospect opportunities for future work in the area. Finally, descriptions are given on an R package named Extended Complexity Library (ECoL) that implements a set of complexity measures and is made publicly available.

The Chinese government has wholeheartedly embraced surveillance technology to exercise control over its citizenry in ways both big and small. It's facial-scanning passers-by to arrest criminals at train stations, gas pumps, and sports stadiums and broadcasting the names of individual jaywalkers. Government-maintained social credit scores affect Chinese citizens' rights and privileges if they associate with dissidents. In Tibet and Xinjiang, the government is using facial recognition and big data to surveil the physical movements of ethnic minorities, individually and collectively, to predict and police demonstrations before they even start. China is even using facial recognition to prevent the overuse of toilet paper in some public bathrooms.

At a glance, a single worker of the genus Macrotermes is not a very complex creature--less than half an inch long, eyeless, wingless, with an abdomen so transparent you can spot the dead grass it ate for lunch. Put it in a group, though, and it may pile up pinhead-sized balls of mud, one after the other, until a complex mound takes shape. By the time that mound is 17 feet tall, it will be equivalent in scale to the Burj Khalifa. In its basement sits a symbiotic fungus, which digests grass for the nest and requires continuous care from the workers. Although termites build without the benefit of architects or engineers, their mounds are ingeniously constructed, using cues known only to the bugs.

Job creation in the Middle East remains paramount as a lever to enable prosperity and sustainability. However, advances in automation, technology and specifically robotics and AI, continue to have a significant impact on jobs and on the workforce. So, how much will be replacement of humans vs. an augmentation of skills? And is it possible that Hollywood-like dystopian scenarios, such as the Matrix or Terminator, could become a reality? The truth is, the threat of jobs being replaced by new technology has always been there.