Source – thebatt.com Several Texas A&M researchers are working on various innovative applications for Artificial Intelligence (AI), intelligent systems, machine learning and natural language processing technologies. For instance, computer engineering assistant professor Zhangyang “Atlas” Wang said his group works broadly in the general fields of computer vision, machine learning and multimedia signal processing. “My research is Read More
Source – economictimes.indiatimes.com Technological advances like artificial intelligence, machine learning and big data are impacting the power sector as well, making it imperative for producers to re-skill resources, a senior official of Tata PowerBSE -0.71 % said. “With technological disruptions like artificial intelligence, machine learning, big data, augmented reality etc. that are impacting the power sector Read More
Source – readitquik.com Digital transformation, the notion of harnessing advances in data science to create value, is being reimagined through applications of artificial intelligence (AI). Focusing AI on the field of intelligent content analytics, the world’s largest banks, technology companies and life sciences organizations are taking it out of the lab and putting it into the Read More
Source – sanvada.com Recently news has a release about Amazon Web Services AI is upgrading and adding a bunch of new features for the users. Where the world is expecting AI, right time amazon is adding AI values to their web services. The features will give AWS users the opportunity to create and quickly train their own artificial Read More
Source – independent.co.uk Scientists have developed an algorithm to monitor the underwater chatter of dolphins with the help of machine learning. Using autonomous underwater sensors, researchers working in the Gulf of Mexico spent two years making recordings of dolphin echolocation clicks. The result was a data set of 52 million click noises. To sort through this vast amount Read More
Source – nasdaq.com Slowly but surely, artificial intelligence (AI) is becoming an integral part of our lives . Of course, we don’t have AI-enabled robots running errands for us just yet, but tech companies are integrating the technology very subtly into things that we interact with every day. From Googlesearches to automatically tagging photos on Facebook , and talking to Siri Read More
Source – searchmicroservices.techtarget.com Considering the time, cost and effort of building their own integrated development platform, many organizations — especially small to medium-sized organizations — turn to PaaS over an IaaS approach. Platform as a service will provide a microservices development team with everything it needs to get an application rolling, including a prebuilt, fully provisioned Read More
Source – phys.org There is growing consensus that with big data comes great opportunity, but also great risk. But these risks are not getting enough political and public attention. One way to better appreciate the risks that come with our big data future is to consider how people are already being negatively affected by uses of it. At Cardiff Read More
Source – business.financialpost.com MONTREAL — Technological advances in artificial intelligence are fuelling a new race between hackers and those toiling to protect cybersecurity networks. Cybersecurity is always a race between offence and defence but new tools are giving companies that employ them a leg up on those trying to steal their data. Whereas past responses Read More
Source – digitaljournal.com Microsoft, Amazon and Facebook have announced the release of a neural network platform that allows deep learning frameworks to interoperate. It’s designed to make machine learning more accessible by letting developers mix and match different models. First announced back in September as a Microsoft and Facebook project, Amazon Web Services has now got onboard too. Called Open Read More
Source – techtarget.com A new password guessing technique takes advantage of machine learning technologies. Expert Michael Cobb discusses how much of a threat this is to enterprise security. What happens when authentication and access control measures are attacked by adversaries equipped with machine learning? This question has been examined in a couple of recent university studies, and Read More
Source – universityaffairs.ca Governments can have a pretty dismal track record when it comes to predicting the next big thing. Tax dollars spent on visionary projects are often, it seems, tax dollars thrown away. But, this past spring, Ottawa might have made its best bet yet with the $125 million it has set aside over the Read More
Source – techrepublic.com Ask what Amazon’s greatest accomplishment has been to date, and you’ll probably hear about how they’ve revolutionized online shopping, or become a credible player in media and entertainment. If you speak with a technologist, they might mention Amazon’s emergence as one of the preeminent technology platforms. While there’s nothing new or exciting about Read More
Source – forbes.com Algorithms are incredible aids for making data-driven, efficient decisions. And as more industries uncover their predictive power, companies are increasingly turning to algorithms to make objective and comprehensive choices. However, while we often rely on technology to avoidinherent human biases, there is a dark side to algorithm-based decisions: the potential for homogenous data sets to produce Read More
Source – techcentral.co.za Not much time passes these days between so-called major advancements in artificial intelligence. Yet researchers are not much closer than they were decades ago to the big goal: actually replicating human intelligence. That’s the most surprising revelation by a team of eminent scholars who just released the first in what is meant to be Read More
Source – jaxenter.com Data Science, Machine Learning, and Artificial Intelligence are attracting big money today. Many organizations, big and small, are investing millions in research — and people — to build powerful data-driven applications. Python and R have long been the two languages said to have a hold on the data science world, but that’s not Read More
Source – cio.com.au There’s a significant level of hype around machine learning – generated by tech vendors, the media, and even CIOs themselves. But putting the hoopla aside, machine learning technologies actually have real substance and as a CIO, it’s worthwhile getting on top of the trends in this area. So what’s all the fuss about? Read More
Source – iflscience.com Epilepsy can be a debilitating condition, even for those who experience seizures infrequently. Sufferers may be afraid to drive or even go out in public, even though their episodes may be as rare as less than once a month. So a device that gives warning of when attacks are likely could be transformative. Work Read More
Source – nydailynews.com The internet changed travel planning for most people years ago, but even a high-powered search engine has its limitations when it comes to plotting out the perfect weekend getaway or lengthy European excursion. Yes, an online search provides plenty of travel options. In fact, it may be too many, so that the would-be Read More
Source – yourstory.com Data Science may have become hot in this decade, but its existence can be traced back to more than a couple of decades ago. A lot of academic research took place in data science (data mining) then, but there was no application in the market; it was all theoretical and mathematical. Real change came Read More
Source – phys.org In artificial intelligence (AI), machines carry out specific actions, observe the outcome, adapt their behavior accordingly, observe the new outcome, adapt their behavior once again, and so on, learning from this iterative process. But could this process spin out of control? Possibly. “AI will always seek to avoid human intervention and create a Read More
Source – ndtv.com SAN FRANCISCO: Facebook Inc will expand its pattern recognition software to other countries after successful tests in the U.S. to detect users with suicidal intent, the world’s largest social media network said on Monday. Facebook began testing the software in the United States in March, when the company started scanning the text of Read More
Source – forbes.com In part one of this two-part series, we covered the complexity of the digital identity problem and some early-market solutions. Read on for part two below! Machine Learning In Digital Identity Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, Read More
Source – techtarget.com For the average worker, particularly the mobile worker, both the complexity of tools and the need for consultation with experts make it difficult to realize productivity improvement through analytics. However, microservices may hold the key to solving this problem. Since applications are being driven to microservice form by increased needs for context-sensitive work Read More
Source – cio.com.au In IT, the bigger the hype, the greater the misconceptions, and data analytics is no exception. Analytics, one of the hottest facets of information technology today, can result in significant business gains, but misperceptions can get in the way of a smooth and timely delivery of analytical capabilities that might benefit business users Read More
Source – ndtv.com Helsinki: Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland-based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More
Source – dailypioneer.com Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland- based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More
Source – androidauthority.com After helping to define the modern internet era with Search and Android, Google is already at the forefront of the next wave in computing research and development: AI. Many consider artificial intelligence and neural network computers to be the next step in computing, enabling new use cases and faster computation to solve currently Read More
Source – theguardian.com Once upon a time, a very long time ago – 2009 in fact – there was a brief but interesting controversy about the carbon footprint of a Google search. It was kicked off by a newspaper story reporting a “calculation” of mysterious origin that suggested a single Google search generated 7 grams of CO2, which is about Read More
Source – ibc.org AI is a technology on the cusp. While nothing actually new in itself, a recent convergence of increased computational power with a mushrooming of large datasets and the refinement of existing understanding of the techniques involved has seen it become an important differentiator in the industry. Following a breakthrough year in 2015 when Read More