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By Richard Seeley
An International Data Corporation (IDC) report predicts that worldwide AI spending will grow two-and-a-half times from $37.5 billion to $97.9 billion between 2018 and 2023, a compound annual growth rate of 28.4 percent over the five-year period.
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By John K. Waters
Huawei Technologies has announced the commercial availability of the Ascend 910 chip, the long-awaited AI processor aimed at datacenters and designed to compete with top U.S. chip makers. The company also launched a new AI computing framework, called MindSpore.
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By Michael Volkmann
The people advancing artificial intelligence are in no small way leading the planet into the future, and we should all be paying attention. Here are seven key AI innovators to keep an eye on.
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A recent survey of about 450 global executives and board members reveals that top executives are both excited and concerned about the emergence of artificial intelligence and its impact on business operations.
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The 2019 Homomorphic Encryption Standardization Workshop aims to develop standards around an advanced data encryption scheme that can revolutionize secure data storage.
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The universe of voice-enabled devices could be expanding, thanks to recent advances in ultra-low power microcontrollers that use deep learning to recognize common wake words.
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The BlazingSQL GPU-accelerated SQL engine for the Nvidia RAPIDS machine learning ecosystem has gone open source under the Apache 2.0 license.
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Limited conversational AI services have driven applications like chatbots and voice-driven UI and search for years. Now Nvidia has announced significant performance gains that could fuel conversational AI.
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Chip-maker Intel and leading computer manufacturer Lenovo announced a multiyear collaboration to leverage the convergence of high performance computing and artificial intelligence.
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By John K. Waters
The Microsoft Research has taken a step toward "democratizing AI" with a project aimed at developing a new open-source framework that will leverage blockchain technology.
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By John K. Waters
VMware seeks to bolster next-generation carrier networks and applications with the acquisition of Uhana, a startup providing highly-scalable, low-latency, real-time stream processing and AI services to improve network performance.
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Since 1993, the Top 500 list has ranked supercomputers based on their performance in the High Performance Linpack (HPL) benchmark. Now Nvidia proposes that the organization expand its testing suite to include an AI-savvy benchmark called HPL-AI.
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A report by Zion Market Research projects that spending around machine learning is growing sharply, from about $1.58 billion in 2017 to $20.83 billion in 2024.
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Microsoft in July announced that it was investing $1 billion into artificial intelligence (AI) research lab as part of a partnership to accelerate development of advanced AI solutions and services.
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Intel announced the release of Pohioki Beach, an 8 million neuron neuromorphic system that the company says can deliver huge gains in performance and energy efficiency over traditional, CPU-based deep learning systems.
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Microsoft released ML.NET 1.2, adding new features and functionality to its open source machine learning framework that can be used for use cases ranging from sentiment analysis to sales forecasting.
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