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The role of AI in Healthcare – an in-depth guide

#artificialintelligence

Is Artificial Intelligence (AI) the silver bullet that will make doctors all over the world unemployed? Will AI be able to outperform oncologist in creating treatment plans for cancer patients? Keep reading and get new perspectives on healthcare AI as I untangle opportunities and grand challenges within the field. "Too much information, too little time" is one of the big challenges in healthcare today. Patients, healthcare professionals and medical devices generate huge amounts of data.


Computer systems :: Computer Software :: Artificial intelligence software - Topical News & Information

#artificialintelligence

Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. The artificial intelligence (AI) component in these programs aims to Read More ... Tags: Computer systems Computer Software Artificial intelligence Artificial intelligence software San Francisco (AFP) - Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. According to PRNewswire, Arria NLG, a leader in artificial intelligence ("AI") and natural language generation ("NLG"), is pleased to announce the private beta launch of Articulator Lite, a cloud-based toolkit that allows users to build their own applications that create content from data.


Tech giants race for edge in artificial intelligence

#artificialintelligence

Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. The artificial intelligence (AI) component in these programs aims to make create a world in which everyone can have a virtual aide that gets to know them better with each interaction. Google is making a high-profile push into AI, with the internet titan's chief referring to it as a force for change as powerful as powerful as smartphones. Google Assistant software is being built into new Pixel handsets--aiming to outdo Apple's Siri--enabling users to organize and use information on the devices and in the cloud--to check emails, stay up to date on calendar appointments, news or ask for traffic and weather data.


Tech giants race for edge in artificial intelligence

#artificialintelligence

SAN FRANCISCO - Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. Google Assistant software is being built into new Pixel handsets -- aiming to outdo Apple's Siri The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. The artificial intelligence (AI) component in these programs aims to make create a world in which everyone can have a virtual aide that gets to know them better with each interaction. Google is making a high-profile push into AI, with the internet titan's chief referring to it as a force for change as powerful as powerful as smartphones. Google Assistant software is being built into new Pixel handsets -- aiming to outdo Apple's Siri -- enabling users to organize and use information on the devices and in the cloud -- to check emails, stay up to date on calendar appointments, news or ask for traffic and weather data.


CIA 'Siren Servers' Can Predict Social Uprisings 3-5 Days in Advance

#artificialintelligence

The CIA claims to be able to predict social unrest days before it happens thanks to powerful super computers dubbed Siren Servers by the father of Virtual Reality, Jaron Lanier. CIA Deputy Director for Digital Innovation Andrew Hallman announced that the agency has beefed-up its "anticipatory intelligence" through the use of deep learning and machine learning servers that can process an incredible amount of data. "We have, in some instances, been able to improve our forecast to the point of being able to anticipate the development of social unrest and societal instability some I think as near as three to five days out," said Hallman on Tuesday at the Federal Tech event, Fedstival. This Minority Report-type technology has been viewed skeptically by policymakers as the data crunching hasn't been perfected, and if policy were to be enacted based on faulty data, the results could be disastrous. The CIA deputy director said that it was "much harder to convey confidence for the policymaker who may make an important decision from advanced analytics with deep learning algorithms."


Self-driving technology isn't Detroit vs. Silicon Valley

#artificialintelligence

An Uber self-driving Ford Fusion sits at a traffic light on Beechwood Boulevard and waits to turn onto Fifth Avenue in Pittsburgh. Among the tenuous notions that have sprouted amid the fervor for autonomous vehicles is that Detroit and Silicon Valley are entwined in a titanic battle for supremacy. What is occurring is a very positive cross-pollination between two hubs of innovation. It is not a zero-sum game in which one industry will win and the other lose. There will be winners -- and occasionally losers -- all over the map.


Tech giants race for edge in artificial intelligence

#artificialintelligence

San Francisco (AFP) - Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. The artificial intelligence (AI) component in these programs aims to make create a world in which everyone can have a virtual aide that gets to know them better with each interaction. Google is making a high-profile push into AI, with the internet titan's chief referring to it as a force for change as powerful as powerful as smartphones. Google Assistant software is being built into new Pixel handsets -- aiming to outdo Apple's Siri -- enabling users to organize and use information on the devices and in the cloud -- to check emails, stay up to date on calendar appointments, news or ask for traffic and weather data.


Two more automakers can test self-driving cars in California

Engadget

You might not have heard of Wheego and Valeo before, but they must be doing something right when it comes to self-driving vehicles. California has given them permission to test one autonomous car each on its roads, according to The Wall Street Journal. The state recently approved a bill that allows fully autonomous car testing -- in other words, test vehicles will be allowed to drive around without a human operator. Wheego and Valeo, however, will have to work their way up to that point. Their cars still need to be operated by up to four human drivers.


Deep-Fried Data

#artificialintelligence

I run a small web archive for about twenty thousand people. Being invited to speak at the Library of Congress is like being a kid who glues paper fins to a cardboard tube and then gets asked to talk to NASA about rocket propulsion. As every speaker has correctly said, it is a signal honor to be here. It also feels strange to be speaking in D.C., at the seat of government. In most of the talks I give, the U.S. government is an adversary. But today I am at a government institution that champions not just freedom, but the fundamental right to privacy, and the dignity that that entails. During the panic that followed September 11, Carla Hayden, then head of the American Library Association, took a principled stand against provisions in the Patriot Act that required librarians to reveal what their patrons were reading. She did it in the face of ridicule from Attorney General Ashcroft and the administration. And of course just a few days ago, she became our new Librarian of Congress. It saddens me that those provisions in the Patriot Act, which seemed so threatening and un-American at the time, look almost quaint today. And this time it's not the government, but the commercial Internet that has worked so hard to dismantle privacy.


A new selection strategy for selective cluster ensemble based on Diversity and Independency

arXiv.org Machine Learning

This research introduces a new strategy in cluster ensemble selection by using Independency and Diversity metrics. In recent years, Diversity and Quality, which are two metrics in evaluation procedure, have been used for selecting basic clustering results in the cluster ensemble selection. Although quality can improve the final results in cluster ensemble, it cannot control the procedures of generating basic results, which causes a gap in prediction of the generated basic results' accuracy. Instead of quality, this paper introduces Independency as a supplementary method to be used in conjunction with Diversity. Therefore, this paper uses a heuristic metric, which is based on the procedure of converting code to graph in Software Testing, in order to calculate the Independency of two basic clustering algorithms. Moreover, a new modeling language, which we called as "Clustering Algorithms Independency Language" (CAIL), is introduced in order to generate graphs which depict Independency of algorithms. Also, Uniformity, which is a new similarity metric, has been introduced for evaluating the diversity of basic results. As a credential, our experimental results on varied different standard data sets show that the proposed framework improves the accuracy of final results dramatically in comparison with other cluster ensemble methods.