Machine learning, cognitive services and other artificial intelligence-powered products and services for both IT pros and developers are front and center at Microsoft's Ignite conference this week.
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By John K. Waters
The evolution of enterprise AI and machine learning continues at an amazing (and occasionally disturbing) pace, but it has yet to outpace the need for human input at critical junctures during its development and deployment. The creation of training data sets, for example, still requires lots of people power.
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By Richard Seeley
By 2022, artificial intelligence and related technologies will change the jobs people do and the people who do the jobs.
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Intel Corp. and the cloud division within Alibaba on Thursday announced the Joint Edge Computing Platform, a new artificial intelligence-based "open" architecture for Internet of Things (IoT) projects focused on edge computing.
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MIT announced this week that the university's computer scientists have invented a new machine learning model for object recognition that incorporates audio descriptions (versus transcripts of audio) along with images.
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By John K. Waters
"Our goal is to read and understand the whole textual content of the Internet, and every time a company is mentioned, find that story, and then extract information from that unorganized text," says the company's co-founder.
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San Francisco, Calif.-based Lobe offers a drag-and-drop approach for image recognition for deep learning models.
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Seeking to help enterprises fully embrace AI, Dataiku announced an upgrade to its namesake software platform, adding Keras, an open source neural network library, among other improvements.
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Cisco Systems Inc. this week announced a new server that it says is specifically designed to support deep learning projects and other large, processing-intensive datasets used for artificial intelligence (AI) and machine learning projects.
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