Goto

Collaborating Authors

 Asia


GE Uses Machine Learning To Restore Italian Power Plant - InformationWeek

#artificialintelligence

GE unveiled a machine data system for power plants it claims can increase a facility's efficiency of operation by 1.5%, reduce carbon dioxide emissions by 3%, and reduce coal consumption by 67,000 tons for each megawatt of electricity produced. GE's Digital Power Plant for Steam suite was introduced at the Minds Machines conference in Paris June 14, where GE executives also revealed the results of a hardware and software upgrade using the technology at the Chivasso power plant in Northern Italy. The plant, run by A2A Group, was restarted in November 2015 after a three-year shutdown. Digital Power Plant for Steam is one of the first application suites to sit atop GE's Predix machine data analytics platform and yield practical, industrial results. The reference to "steam" in the product's name reflects the fact that gas and coal-fired power plants produce steam to drive the turbines that generate electricity used in households and industry in most societies.


10 Futuristic Technologies That Are Revolutionizing Our World - Listverse

#artificialintelligence

As technology advances, we will begin to see huge changes in how our world operates. While all the technologies on this list are already being applied all over the world, many of them are still in their infancy. We stand on the precipice of a new technological age in human history, and while it may not yet be The Jetsons, many of these technologies are even more fantastic than anything we could have predicted. By chemically treating ordinary balsa wood and strengthening it with epoxy, scientists have created a clear, biodegradable material that is 4–6 times stronger than its counterpart that is not chemically treated. Scientists even think that it could be used to make renewable solar cells because the material partially traps light, allowing only about 85–90 percent of light to pass through it.


Fuzzy logic helps detect redirection spam

#artificialintelligence

Web browsers might soon use fuzzy logic to spot redirection spam and save users from being scammed, phished or opening malicious sites unwittingly, according to researchers in India writing in the International Journal of Electronic Security and Digital Forensics. Redirection spam occurs when a user opens a link in an email that leads to an unexpected and often malicious page, or when they open a page that has been hacked or injected with malware, which then redirects to a malicious page. Often the redirection occurs instantaneously and transparently without the user being aware until it is too late and login details or credit card number have been divulged to the criminal third party. Frequently, there will be a malware payload that infects the user's computer at the same time. According to Kanchan Hans of Amity University, in Noida, India, and colleagues, legitimate web page redirections are a ubiquitous part of the web used for server load balancing, link logging and URL rewriting and shortening.


Google installs new research lab in Zurich to focus on machine learning

#artificialintelligence

New Delhi: With its new research lab,based outside United States (US), Google is all set to focus on machine learning as a part of its artificial intelligence. Machine learning is a type of artificial intelligence that provides computer with the ability to learn without being explicitly programmed. Based in Zurich, Switzerland, the new unit called Google Research, Europe is one of largest Google's engineering office outside US. It will be a part of the wider Google Research operation, which includes thousands of people worldwide. The search engine giant made this announcement in its official blogpost where it mentioned that the new group, led by Emmanuel Mogenet will mainly focus on three areas- machine intelligence, natural language processing (NPL) and machine perception.


Honda steps up in race to win the best AI talent for driver-less cars?The Asahi Shimbun

#artificialintelligence

Honda Motor Co. will open a new artificial intelligence (AI) research center in Tokyo to commercialize self-driving cars in the future. Honda R&D Co., Honda's research and development subsidiary, announced on June 2 that it will establish Honda R&D Innovation Lab Tokyo by around September in Tokyo's Akasaka district. The move came as Japanese auto companies are desperately seeking personnel who specialize in the cutting-edge area. AI is viewed as the core technology to develop futuristic driverless vehicles. Honda already has a research center in the northern Kanto region, but it will set up a new facility in the capital to hire more skilled information technology engineers.


8 industries robots will completely transform by 2025

#artificialintelligence

Just as ATMs changed banking and computers took over the home and workplace, robots and artificial intelligence are going to transform a bunch of industries over the next decade. By 2025, a machine may be putting together your driverless car in a factory with no human oversight. A robot maid could be cleaning up after you at home, and your financial advisor might be a computer investing for you automatically. And with at least 90 countries operating unmanned aerial vehicles, the wars of the future may increasingly be fought with "drone" aircraft. These are just some of the interesting -- and sometimes scary -- predictions to come from a 300-page report released by Merrill Lynch in November, which estimates the global market for robots and AI will grow from 28 billion to more than 150 billion just five years from now.


Impacts of land use and amenities on public transport use, urban planning and design

#artificialintelligence

Various land-use configurations are known to have wide-ranging effects on the dynamics of and within other city components including the transportation system. In this work, we particularly focus on the complex relationship between land-use and transport offering an innovative approach to the problem by using land-use features at two differing levels of granularity (the more general land-use sector types and the more granular amenity structures) to evaluate their impact on public transit ridership in both time and space. To quantify the interdependencies, we explored three machine learning models and demonstrate that the decision tree model performs best in terms of overall performance--good predictive accuracy, generality, computational efficiency, and "interpretability". Results also reveal that amenity-related features are better predictors than the more general ones, which suggests that high-resolution geo-information can provide more insights into the dependence of transit ridership on land-use. We then demonstrate how the developed framework can be applied to urban planning for transit-oriented development by exploring practicable scenarios based on Singapore's urban plan toward 2030, which includes the development of "regional centers" (RCs) across the city-state.


Robots, swarming drones and 'Iron Man': Welcome to the new arms race

#artificialintelligence

In his quest to transform the way the Pentagon wages war, Defense Secretary Ashton B. Carter has turned to Silicon Valley, hoping its experimental culture, innovation and sense of urgency would rub off on the rigid bureaucracy he runs. Carter has made several trips to the Valley and appointed Eric Schmidt, the chairman of Google's parent company to an advisory board. And recently he sat down at the Pentagon with Elon Musk to see what suggestions the billionaire founder of Tesla and SpaceX might have to make the nation's military more efficient and daring. "Having an incentive structure that rewards innovation is extremely important," he said in an interview after the meeting. Whatever you reward will happen." The Pentagon finds itself in a new arms race, struggling to keep pace with forms of combat that are fought with bytes as well as bullets. The technological advancements disrupting established business sectors are now shaking up the world of war -- where robots, swarming drones ...


Synthetic Intelligence Might Flip Poachers Into PreyTrue Viral News

#artificialintelligence

Abstract: A newly developed system might quickly assist to foretell the place poachers are more likely to strike in wildlife parks. USC pc scientist speaks at a White Home-sponsored workshop on expertise and social good. Poachers hunt tigers with traps and weapons. That prime-tech software is in improvement due to USC laptop scientist Milind Tambe, the Helen N. and Emmett H. Jones Professor in Engineering on the USC Viterbi College of Engineering. Since 2013, he's been working with worldwide businesses to check software program he hopes will sooner or later predict the place poachers are prone to strike inside wildlife parks.


The virtual Holocaust survivor: how history gained new dimensions

The Guardian

Pinchas Gutter goes out of his way to find me biscuits. In a sun-baked living room in his north London home, he opens a packet of Rich Tea, sits down and tells me about the Holocaust. Gutter was seven years old when the second world war broke out. He lived in the Warsaw ghetto for three and a half years, took part in its uprising, survived six Nazi concentration camps – including the Majdanek extermination camp – and lived through a death march across Germany to Theresienstadt in occupied Czechoslovakia. "Remembrance is the secret of redemption, while forgetting leads to exile," he says, quoting Baal Shem Tov, the founder of Hasidic Judaism.