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Pentagon says its 'highly unlikely' Russia will find anything useful if it recovers US drone from Black Sea

FOX News

It is "highly unlikely" Russia will find anything useful if it manages to recover a U.S. surveillance drone from the deep waters of the Black Sea where it crashed earlier this week after colliding with a Russian fighter jet, the Pentagon said Thursday. Gen. Pat Ryder comes amid reports that Russia was making an effort to recover the MQ-9 Reaper drone's debris. Ryder reiterated Joint Chiefs of Staff Chairman Gen. Mark Milley's assertion that no sensitive material was compromised in the drone incident. "We do have indications that Russia's likely making an effort to try to recovery MQ-9 debris," Ryder said. "However, we assess it's very unlikely that they would be able to recovery anything useful, given a couple of factors."


Great Barrier Reef: Uncovering the secrets of Australia's deep waters

BBC News

The most comprehensive deep-sea study of two marine parks off Australia has given a fascinating glimpse into what lives there. Scientists have told the BBC how they used an underwater robot to make a host of discoveries.


Episode two Blue Planet II gives glimpse into the deep

Daily Mail - Science & tech

Episode two of Blue Planet II could be one of Sir David Attenborough's scariest shows yet - giving us a glimpse of life in total darkness that we are only just starting to explore. The episode also looks at peculiar gardens that are thriving in the pitch black as well as species of coral that have never been seen in shallower waters. The fangtooth (pictured) has the largest teeth relative to body size for any fish in the entire ocean. The filming of Blue Planet involved around 1,000 people from producers to deep sea divers, researchers to scientists, camera crews to helicopter pilots and drone operators. Some 125 expeditions were undertaken across every ocean, with 1,500 days spent at sea and 6,000 hours underwater.


H2O.ai's Deep Water Included in Gartner's Innovation Insight Deep Learning Report

#artificialintelligence

H2O.ai, an AI company that provides industry-leading data products for enterprise businesses, today announced it has been named by Gartner, Inc., the leading provider of research and analysis on the global machine learning industry, as a Representative Provider of deep learning platform provider that allows users to create their own deep learning solutions. Gartner's January 2017 Innovation Insight for Deep Learning report listed H2O's Deep Water as one provider of deep learning platforms, placing it alongside other offerings from Caffe, Ersatz Labs, Facebook's Torch, Google TensorFlow, Intel's Nervana, The Microsoft Cognitive Toolkit, Theano and Skymind's Deeplearning4j. "We believe our inclusion in this report validates and enforces our standing in the industry," said SriSatish Ambati, co-founder and CEO of H2O.ai. "We're excited to continue expanding our suite of deep learning solutions." H2O.ai launched in 2011 with the goal of democratizing data science by open sourcing deep learning and AI for everyone.


H2O's Deep Water puts deep learning in the hands of enterprise users

#artificialintelligence

To complement existing offerings like Sparkling Water and Steam, H2O.ai is releasing Deep Water, a new tool to help businesses make deep learning a part of everyday operations. Deep Water will open up new possibilities for the TensorFlow, MXNet and Caffe communities to engage with H2O.ai. This also means that the GPU is set to become a greater part of business operations for the entire Fortune 500, not just tech companies. SriSatish Ambati, CEO of H2O.ai, says his company has found a sweet spot with predictive analytics. Ambati gave me the example of an insurance provider using H2O to analyze images of roofs and provide insights for preventative maintenance.


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#artificialintelligence

H2O is Easy to Use and Deploy • h2o.ai/download and run anywhere, immediately • Client APIs: R, Python, Java, Scala, REST, Flow GUI • Spark (cf. H2O.ai - At the Core of AI 6. Powerful, Scalable Techniques for Deep Learning and AI Win your copy at our booth! H2O Book - Written by the Community 7. H2O.ai Machine Intelligence User Based Insurance WATCH NOW WATCH NOW "H2O is an enabler in how people are thinking about data." "We have many plans to use H2O across the different business units." There is no limit to scaling in H2O." "Working with the H2O team has been amazing." "The business value that we have gained from advanced analytics is enormous." WATCH NOW WATCH NOW 8 9. H2O.ai Machine Intelligence WATCH NOW WATCH NOW Matching TV Watching Behavior with Buying Behavior "Unlike other systems where I had to buy the whole package and just use 10-20%, I can customize H2O to suit my needs." "I am a big fan of open source.


If I Can Learn to Play Atari, I Can Learn TensorFlow - DZone Big Data

#artificialintelligence

Deep Learning is becoming the next big area for companies and universities to explore. Deep Learning libraries are growing and their adoption is expanding. With Google's open sourcing of TensorFlow, there is a massive rise in deep learning adoption. I have started using it for it's very interesting Image Recognition capabilities which can be used out of the box with their ImageRecognition example. Google has released a new TensorFlow library - Image Recognition, Slim. TF-Slim is a lightweight library for defining, training and evaluating complex models in TensorFlow, which should speed up adoption and ease of use.