Tag: natural language processing

Kyndi raises $20 million for explainable AI that analyzes documents

Kyndi, a startup developing what it describes as an explainable natural language processing platform, today announced that it’s secured $20 million in series B funding led by Intel Capital, with participation from UL Ventures, PivotNorth Capital, and existing investors. The capital infusion comes after an $8.5 billion series A in August 2017 and brings the […]

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The NLP/NLU nominees for the Transform AI Innovation Awards

To cap off our AI-focused Transform 2019 event, taking place July 10-11 in San Francisco, VentureBeat will recognize and award emergent, compelling, and influential work in AI through the inaugural AI Innovation Awards. We take pride in shining a light on innovation through that coverage, but these awards, presented by Ople, give us a chance […]

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Amazon wants smart home device setup to be a ‘zero-touch’ experience

The smart home device market is poised for serious growth. Just ask analysts at IDC, which forecasts that shipments will experience a 26.9% year-over-year uptick in 2019 to 832.7 million units. By 2023, IDC expects nearly 1.6 billion devices will ship to customers’ homes worldwide. Amazon is counting on it. Of the 75% of respondents […]

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Baidu’s DuerOS voice platform is now on 400 million devices

A self-driving milestone and an AI accelerator partnership with Intel weren’t the only high points of Baidu’s Create conference in Beijing this week. The company took the wraps off of DuerOS 5.0, its latest-gen natural language platform, and it revealed that DuerOS’ install base recently surpassed 400 million as voice queries topped 3.6 billion. The […]

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Google Brain’s XLNet bests BERT at 20 NLP tasks

A group of Google Brain and Carnegie Mellon University researchers this week introduced XLNet, an AI model capable of outperforming Google’s cutting-edge BERT in 20 NLP tasks and achieving state-of-the-art results on 18 benchmark tasks. BERT (Bidirectional Encoder Representations from Transform) is Google’s language representation model for unsupervised pretraining of NLP models first introduced last […]

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Essential tips for scaling quality AI data labeling

Presented by CloudFactory Across every industry, engineers and scientists are in a race to clean and structure massive amounts of data for AI. Teams of computer vision engineers use labeled data to design and train the deep learning algorithms that self-driving cars use to recognize pedestrians, trees, street signs, and other vehicles. Data scientists are […]

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Amazon researchers bolsters Alexa’s language learning with preexisting knowledge

You’d think that adapting Alexa, which supports a range of languages including Spanish, German, and Japanese, to varieties within a dialect continua would be a piece of cake compared with “teaching” it new language families, but this isn’t so. According to the Seattle company’s researchers, the gulf is wide between British English and American English, […]

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AllyO raises $45 million for its AI-driven hiring and onboarding platform

AllyO, a Sunnyvale, California-based company developing AI-powered job recruitment products, today announced that it’s completed a series B financing round with $45 million in venture capital, contributed largely by new investors Sapphire Ventures and Scale Venture Partners, as well as existing investors Gradient Ventures (Google’s AI fund), Randstad Innovation Fund, Bain Capital Ventures, and Cervin […]

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IBM’s AI uses grammar rules to catch linguistic nuances of U.S. English

What’s the difference between independent and dependent clauses? Is it “me” or is it “I”? And how does “affect” differ from “effect,” really? Ample evidence suggests a strong correlation between grammatical knowledge and writing ability, and new research implies the same might be true of AI. In a pair of preprint papers, scientists at IBM […]

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