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Source:- One of the most intriguing areas of artificial intelligence today is the concept of deep reinforcement learning, where machines can teach themselves based upon the results of their own actions. It is one of the areas of artificial intelligence that shows great promise, so let’s look at what it is and explore some real-world Read More
Source:-venturebeat.com KYLE WIGGERS@KYLE_L_WIGGERS JUNE 25, 2019 6:59 AM Above: A graph illustrating Amazon’s multilabel classification approach. Image Credit: Amazon MOST READ Machine learning helps Microsoft’s AI realistically colorize video from a single image Microsoft announces OneDrive Personal Vault for sensitive files VB Event Transform 2019: Hear from the movers and shakers in AI Lightyear One is Read More
Source:- therobotreport.com Argo AI, a Pittsburgh-based autonomous vehicle company, has donated $15 million to Carnegie Mellon University (CMU) to fund a new research center. The Carnegie Mellon University Argo AI Center for Autonomous Vehicle Research will “pursue advanced research projects to help overcome hurdles to enabling self-driving vehicles to operate in a wide variety of real-world Read More
Source:-cosmosmagazine.com Deep learning shows its worth in the word of quantum computing. Gabriella Bernardi reports. talian researchers have shown that it is possible to teleport a quantum bit (or qubit) in what might be called a real-world situation. And they did it by letting artificial intelligence do much of the thinking. The phenomenon of qubit transfer Read More
Source:- mit.edu The MIT Machine Intelligence Community began with a few friends meeting over pizza to discuss landmark papers in machine learning. Three years later, the undergraduate club boasts 500 members, an active Slack channel, and an impressive lineup of student-led reading groups and workshops meant to demystify machine learning and artificial intelligence (AI) generally. This year, Read More
Source:- globenewswire.co CAMBRIDGE, Mass., June 25, 2019 (GLOBE NEWSWIRE) — NSR’s Big Data Analytics via Satellite, 3rd Edition (BDvS3) report, published today, finds continued growth for downstream Big Data applications through the next decade, driven by applications built on Earth Observation and M2M/IoT satcom data across multiple market verticals. Big Data analytics via satellite will generate close to $17.7 billion Read More
Source:- forbes.com According to IDC’s Data Age 2025 research, the amount of data across the globe that’s open to analysis is set to grow by a factor of 50 within just six years. As such, in 2025, the world is set to be creating 163 zetabytes (163 trillion gigabytes) of data a year. That data comes from Read More
Source:- .techrepublic.com Microsoft’s growing range of AI-powered chat tools are bringing Cortana to your business. Machine learning is a powerful tool, but it’s not always easy to implement or build into your business. One option is to use it to power conversational self-service tools, for e-commerce or for support. Users use familiar channels to converse with Read More
Source:-forbes.com One can’t read any news today without a barrage of articles about data science and machine learning and artificial intelligence. Just recently, Jeff Bezos opened up his private MARS (Machine Learning, Automation, Robotics, and Space) conference to the public There is a conspiracy theory stating that the Facebook 10 year challenge is just a Read More
Source:- fortune.com An organization that won the Nobel Prize in 2017 for its work to eliminate nuclear weapons is sounding the alarm about the possibility of artificial intelligence leading to unintended wars. Beatrice Fihn, executive director of the International Campaign to Abolish Nuclear Weapons, is worried that hackers could breach A.I. technologies that are used in nuclear Read More
Source|:- boingboing.net In The Next Generation of Deep Learning Hardware: Analog Computing*Sci-Hub mirror), a trio of IBM researchers discuss how new materials could allow them to build analog computers that vastly improved the energy/computing efficiency in training machine-learning networks. Training models is incredibly energy-intensive, with a single model imposing the same carbon footprint as the manufacture and lifetime Read More
