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Yearly Archives: 2016

Machine Learning: Google’s Open-Source TensorFlow Platform Targets Deep Learning

By Dick Weisinger

In November 2015, a group within Google called ‘Google Brain’ introduced an open-source API called TensorFlow for numerical computing and managing deep learning and artificial intelligence tasks like speech and image recognition.  TensorFlow can be deployed on anywhere from one…

Artificial Intelligence (AI): AI and Machine Learning Target both Business and Government

By Dick Weisinger

“AI is the most important technology that anybody on the planet is working on today.  I would argue that it will even change how we perceive what it means to be human,” said Dave Coplin, chief envisioning officer at Microsoft UK.…

Machine Learning: Major Push by All Major Tech Companies to Advance Artificial Intelligence

By Dick Weisinger

Machine Learning algorithms are becoming widely used.  Microsoft, Google, IBM and Amazon, for example, have all added machine learning options to their cloud offerings.  Facebook has open-sourced its hardware design. Yahoo has also released an open-source AI tool called CaffeOnSpark. Chinese giant Baidu has…

Internet of Things (IoT): Future of Mobile to be Intertwined with IoT Connections

By Dick Weisinger

Iot and mobile are on track to become intertwined technologies says Thomas Husson of Forrester.  Despite predictions that the proliferation of IoT devices, like wearables and smart gadgets everywhere, will soon replace our mobile smartphones,  that’s scenario won’t happen anytime…

Enterprise Deep Learning: Teaching Machines to Recognize Business Data Patterns

By Dick Weisinger

Deep learning refers to artificial intelligence algorithms that can recognize, classify and categorize data patterns.  The algorithms often transform data sets into complex strcutures that are processed by multiple non-linear transformations.  Deep learning software can be trained to help reveal patterns in…