Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

At Nvidia's GTC event today, CEO Jensen Huang made announcements the company claims have the potential to transform multi-trillion dollar industries. We cherry-pick from the announcements, focusing on the hardware and software infrastructure that powers the applications that make the headlines.

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Knowledge graphs, AI, and interoperability. The Year of the Graph Newsletter: February 2019

Knowledge graphs are spreading everywhere: from Airbnb and eBay to Alexa, and from using JSON-LD on the web for better SEO to leveraging taxonomy to define AI. Combining knowledge graphs and machine learning, benchmarking graph databases, and W3C initiative for interoperability shaping up. January 2019 has been a lively month in the graph landscape. Read […]

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More graph databases. The Year of the Graph Newsletter Vol. 8, December 2018

The Year of the Graph Newsletter: December 2018

Redis announces RedisGraph and a benchmark, TigerGraph goes AWS, AWS hands-on experiences, new features from Stardog and AnzoGraph, Graphs and Machine Learning, GraphQL, Atlas, DBpedia, Connected Data London and the Year of the Graph. I often get asked about graph databases – what they are, what are they good for, how to choose one, as […]

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Graph gets funding. The Year of the Graph Newsletter Vol. 7, November 2018

October 2018 was the busiest month in the busiest year in graph history, hence the longest Year of the Graph newsletter to date. Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and […]

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The future of the future: Spark, big data insights, streaming and deep learning in the cloud

The future of the future: Spark, big data insights, streaming and deep learning in the cloud

Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.

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