china


Researchers can guess where you're from by how colors make you feel

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Whether you see red, feel blue, or go green with envy may depend on what country you call home, a new study suggests. And when given data on how a person associated colors with emotions, researchers could correctly predict where they were from 80% of the time. The scientists surveyed 711 people from China, Germany, Greece, and the United Kingdom. Volunteers read the word for 12 colors, such as "green" and "turquoise." They then indicated which of 20 emotions the colors brought to mind, and how strongly the color was tied to the feeling.


PBS/Frontline's "In The Age of AI" Is Profoundly Exciting – & Frightening

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"FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society." As a business technologist, I am beyond excited about the possibilities of artificial intelligence, machine learning and deep learning ("AI") and all of the application areas already impacted by the technology. The marriage of statistical analyses, adaptive pattern recognition, big data and computational efficiency to describe, explain, predict and actuate events, conditions and processes is thriving. It all came together at roughly the same time.


Ontology Meetup - FoundersList

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Please join the Ontology team as they tour the United States presenting their solution for a public blockchain & distributed collaboration platform. They will discuss their unique viewpoint on developing blockchain technology in China & its impact throughout the space. He is one of the first Semantic Web experts in China & has many years of experience in enterprise resource planning, digitization of government affairs, gaming platforms, & media streaming. In 2008, he joined Project Halo, a project initiated by Paul Allen, Co-Founder of Microsoft, where he worked on big data & artificial intelligence. In 2013, Hu helped set up leading fintech company Green Dot's subsidiary in China, where he developed a thorough understanding of the financial system & credit card business.


National Security Commission Warns Pentagon of Falling Hopelessly Behind in the AI Arms Race

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An interim report compiled by a national security panel warns the U.S. government of falling too far behind China and Russia in the AI arms race, while calling for new investments to foster innovation. Released yesterday, the November interim report from the National Security Commission on Artificial Intelligence (NSCAI) advises the U.S. government to get its act together on the development of security- and defense-related AI, lest it fall behind its adversaries, namely China and Russia. Failure to do so would relinquish America's role as a primary player in AI, while exposing the nation to serious new threats, including a diminishing of U.S. military advantage, unchecked disinformation campaigns, increased cyberattacks, and the erosion of democracy and civil liberties, according to the new report. "We are concerned that America's role as the world's leading innovator is threatened," wrote commission chairman (and former Google CEO) Eric Schmidt and vice chairman Robert Work in the report's introduction. "We are concerned that strategic competitors and non-state actors will employ AI to threaten Americans, our allies, and our values."


Big Data and AI solutions for Drug Development

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The healthcare sector, that contains a diverse array of industries with activities ranging from research to manufacturing to facilities management (pharma, medical equipment, healthcare facilities), generated in 2013 something like 153 exabytes (1 exabyte 1 billion gigabytes). It is estimated that by year 2020 the healthcare sector will generate 2,134 exabytes. To put that into perspective data centres globally will have enough space only for an estimated of 985 exabytes by 2020. Meaning that two and a half times this capacity would be required to house all the healthcare data. Big data have four V's volume, velocity (real time will be crucial for healthcare), variety and veracity (noise, abnormality, and biases). Poor data quality costs the US economy $ 3,1 trillion a year.


Google's former CEO urges US govt to invest more in artificial intelligence- Technology News, Firstpost

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The US government funding in artificial intelligence has fallen short and the country needs to invest in research, train an AI-ready workforce and apply the technology to national security missions, a government-commissioned panel led by Google's former CEO said in an interim report on Monday. The National Security Commission on Artificial Intelligence (NSCAI), created by Congress last year, raised concerns about the progress China has made in this area. It also said the US government still faces enormous work before it can transition AI from "a promising technological novelty into a mature technology integrated into core national security missions." The commission thinks an allied effort on AI in the realm of national security is important, Robert Work, vice chairman of the NSCAI and a former deputy secretary of defense, told reporters. The NSCAI has spoken with Japan, Canada, the United Kingdom, Australia and the European Union, Work said.


Can China Grow Its Own AI Tech Base?

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Last December, China's top AI scientists gathered in Suzhou for the annual Wu Wenjun AI Science and Technology Award ceremony. They had every reason to expect a feel-good appreciation of China's accomplishments in AI. Yet the mood was decidedly downbeat. "After talking about our advantages, everyone mainly wants to talk about the shortcomings of Chinese AI capabilities in the near-term--where are China's AI weaknesses," said Li Deyi, the president of the Chinese Association for Artificial Intelligence. More than two years after the release of the New Generation Artificial Intelligence Development Plan (AIDP), China's top AI experts worry that Beijing's AI push will not live up to the hype.


Farmers are using AI to spot pests and catch diseases - and many believe it's the future of agriculture

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In Leones, Argentina, a drone with a special camera flies low over 150 acres of wheat. It's able to check each stalk, one-by-one, spotting the beginnings of a fungal infection that could potentially threaten this year's crop. Many food producers are struggling to manage threats to their crop like disease and pests, made worse by climate change, monocropping, and widespread pesticide use. Catching things early is key. Taranis, a company that works with farms on four continents, flies high-definition cameras above fields to provides "the eyes."


A.I. Scans of Pineal Gland Validate The Third Eye in Historical Texts, Religion, Google and Neuralink Tech Experiments - THE AI ORGANIZATION

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The AI Organization's AI bio-metric scans of the human brain have decoded a bio-logical structure in the pineal gland that interconnects throughout the neural network of the human brain. We have termed the entire interconnection as the Human Bio-Digital Network, as outlined in the book ARTIFICIAL INTELLIGENCE Dangers to Humanity. Google researchers, some CIA operatives and Air Force prototype fighter pilots have used wearable devices that interconnects with the pineal gland in order to control IoT's, networks or an airplane with their mere thought alone. Historically it was deemed as a process of connecting with brain waves on wearable devices, yet the Pineal Gland is a very key component to this process. For decades scientists have been baffled as to the reason why the Pineal Gland carries components similar to an eye, yet no real physical eye exists in the forehead.


The AI Skills Shortage - ITChronicles

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The robots are coming – for jobs. This is the plain, cold, hard fact we now face as we head towards the third decade of the 21st Century. The technology-driven world in which we now live is one filled with promise – cars that drive themselves, algorithms that respond to customer service inquiries, automated business intelligence on tap. Yet, this brave new world is also filled with challenges. For even as AI and automation increase productivity and improve our lives, their widespread adoption means that many work activities humans currently perform will soon be displaced – if they haven't been already. What this doesn't mean, however, is that there will be a shortage of jobs in the future.