Posts Tagged ‘Machine learning’
Watson Technology in Big Demand
In February of this year, IBM announced it would take core Watson machine learning technology to mainframe clients. Now, they are going all-in by opening another machine learning hub in Böblingen, Germany. Silicon Angle brought this information to our attention in their article, “IBM claims high demand for machine learning hubs.” IBM’s Watson was a good example…
Read MoreUnderstanding Knowledge
There are many terms used in relation to artificial intelligence. Some are synonymous and some are just distantly related. Sys-Con Media brought this news to us in their article, “AI Is About Machine Reasoning.” In 1955 Prof. John McCarthy defined artificial intelligence as the goal to develop machines that behave as though they were intelligent. Even…
Read MoreScholar Communications and Machine Learning
The last 30 years in scholarly communications have shown a steady trend towards digital content creation and delivery, especially for journals. The industry focus has now moved from print to online. However, online delivery may be influenced by print predilections. This interesting topic came to us from Research Information in their article, “‘Genuinely disruptive’.” Academics have a…
Read MoreThe Power of Machine Learning
Machine learning is, as my father would say, akin to artificial intelligence. It is a sub-field that specializes in algorithms which can learn and improve themselves by studying high volumes of available data. This interesting information came to us from DATAVERSITY in their article, “The Value of Machine Learning: Benefits and Best Practices.” The real power of…
Read MoreThe Same and Not
Semantic technology and machine learning have many possibilities as the technologies continue to grow and evolve. This interesting topic came to us from Blasting News in their article, “Flickr presents visual ‘similarities’ in search results.” The online photo sharing app, Flickr, has been experimenting with many new features over the years and the most recent involves…
Read MoreAI in Data Management
Informatica recently announced a new innovation from the Informatica Intelligent Data Platform. The latest is the industry’s only end-to-end platform for data management and data-driven digital transformation – the CLAIRE Engine, the metadata-driven artificial intelligence (AI) in the Informatica Intelligent Data Platform. IT Business Net brought this news to us in their article, “Informatica Intelligent Data Platform…
Read MoreFighting Back Against Fake News with Metadata
Fake news is the buzz word of the year, or at least it feels that way. Everyone claims to know it when they see it, many produce it (intentionally or otherwise), but is there anything that can really be done about it? This interesting information came to us from Motherboard in their article, “Teaching Machines to…
Read MoreThe Popularity of Artificial Intelligence
Google’s major developer conference is preparing to kick off and there seems to be a lot of buzz around artificial intelligence (AI). Many want to know what Google will be offering that involves machine learning and AI. Computer World brought this interesting information to us in their article, “At Google I/O, enterprises may get A.I. they…
Read MoreMachine Learning and Security
Machine learning contributes to many other technologies, e.g. fraud detection, search engines, etc. By automatically discovering patterns that lead to insights and creating predictive models that drive actions, the technology has proven its value many times, and to many industries. This interesting information came from DATAVERSITY in their article, “Why Cybersecurity Needs Machine Learning.” Machine learning is also…
Read MoreDeeper Learning
Deep learning is considered a key part of data science. But what exactly is deep learning? This interesting information came from DATAVERSITY in their article, “Big Data, Open Data, and Deep Learning. Deep learning is part of a broader and more common concept – machine learning. It is based on a set of algorithms that attempt to model high-level abstractions in data by…
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