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By John K. Waters
The Defense Advanced Research Projects Agency plans to invest $2 billion in what the agency aims to define as a "third-wave" of AI technologies, exploring new theories and applications that could make it possible for machines to adapt to changing situations.
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For the first time, Python -- a favorite tool for AI projects -- has cracked the top three positions in the TIOBE index, which tracks programming language popularity.
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Chinese AI specialist Baidu launched a no-code platform for creating and deploying custom machine learning models in just four steps, targeting small and medium-sized enterprises.
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Tibco Software and manufacturing services company Jabil have announced a new partnership that the companies say will help bring additional machine learning capabilities to embedded apps for IIoT use cases.
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Microsoft has issued a new release of its enhanced edition of the R programming language, one of the primary languages used for artificial intelligence and machine learning development, along with Python.
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PowerEdge MX, new hardware recently announced by Dell EMC, is designed to support machine learning artificial intelligence (AI) and Internet of Things (IoT) workloads.
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By John K. Waters
Demand for artificial intelligence and machine learning skills is exploding, but industry efforts are underway to meet that need.
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By Richard Seeley
BigQuery ML, is designed to break down the barriers by providing a tool that does not require a data scientist to operate it. Google is also updating other products in its data analytics and Cloud AI services offering.
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By John K. Waters
It's both a software tools bundle and a protocol, designed to simplify the deployment of the model artifacts created during the process of ML training known as machine learning models by decoupling that process from framework-specific model implementations.
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Calling it the "greatest leap since the invention of the CUDA GPU," Nvidia this week announced its new Nvidia Turing architecture: hybrid GPUs combining Tensor Cores (aimed at AI processing) and RT Cores.
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Google recently announced Edge TPU, an ASIC designed to do exactly what its name suggests: run AI (and IoT) "on the edge."
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By John K. Waters
While high-tech execs issue fevered warnings about the potential dangers of next-gen intelligent machines, the current generation of smart software could already pose a serious security threat.
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ML.NET, the open source cross-platform machine learning framework introduced by Microsoft in preview several months ago, has been updated to version 0.4, with improved natural language processing highlighting several enhancements.
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Oracle's Autonomous Database Cloud got a new module this week: Oracle Autonomous Transaction Processing.
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Google baked in a healthy dose of machine learning in creating the newly shipped Android 9 Pie mobile OS, tracking user interactions and more to adjust device operation on the fly.
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Leading data scientist Cheryl Martin explains why and how bias found in AI projects can almost always be tracked back to the data, covers the top four types of issues that cause bias and shares steps data scientists can take to address bias issues.
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