AI & RoboticsNews

Cloudera built its conversational AI chops by keeping things simple

When enterprise data software company Cloudera looked into using conversational AI to improve its customer support question-and-answer experience, it didn’t want to go slow, said senior director of engineering Adam Warrington in a conversation at Transform 2020. When your company is new to conversational AI, conventional wisdom says you might gradually ease into it with a simple use case and an…
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AI & RoboticsNews

Announcing nominees for the second annual Women in AI Awards

As we launch into the first day of Transform 2020 (July 15-17), we’re thrilled to announce the nominees for the second annual Women in AI Awards. The Awards are part of our continuing commitment to diversity in AI, which kicks off shortly with the Women in AI Breakfast. (7:30 a.m. PT), and this year will be livestreamed to the public. Then on the last day of Transform, we’ll be announcing the…
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AI & RoboticsNews

Graphcore claims its M2000 AI computer hits 1 petaflop

Last Chance: Register for Transform, VB’s AI event of the year, hosted online July 15-17. Graphcore, a U.K.-based company developing accelerators for AI workloads, this morning unveiled the second generation of its Intelligence Processing Units (IPUs), which will…
AI & RoboticsNews

Abacus.ai, founded by Amazon and Google alums, raises $13 million to match projects with AI models

AI startup Abacus.ai today announced the close of a $13 million series A round for its cloud platform for AI services. The company was founded last year by a team with experience scaling AI projects at AWS and Google, including BigQuery cocreator Siddartha Naidu, former AWS manager of AI vertical services Bindu Reddy, and former Uber engineer Arvind Sundararajan. The company also announced today…
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AI & RoboticsNews

Microsoft’s AI generates voices that sing in Chinese and English

Researchers at Zhejiang University and Microsoft claim they’ve developed an AI system — DeepSinger — that can generate singing voices in multiple languages by training on data from music websites. In a paper published on the preprint Arxiv.org, they describe the novel approach, which leverages a specially-designed component to capture the timbre of singers from noisy singing data. The work…
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