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PaddlePaddle and Kubernetes Join Forces, Helping Developers Efficiently Train Deep Learning Models

February 7th, 2017|

Kubernetes community announced today that PaddlePaddle, the open source deep learning framework originally developed by Baidu, is now compatible with Kubernetes, the cluster management system, making PaddlePaddle the only deep learning framework that officially supports Kubernetes to date. The compatibility will allow developers to conveniently train large models on all major global cloud service providers [...]

Adam Coates Speaks to TechEmergence about Future of Speech Recognition

May 6th, 2016|

Adam Coates sat down recently with Daniel Faggella from TechEmergence at our Sunnyvale office for an interview about AI, Speech Recognition and Natural Language Processing. During the interview, Coates, Director of Baidu Silicon Valley AI Lab, talked about Baidu's work in AI. He also shared his thoughts around consumer artificial intelligence applications in terms of its impact, [...]

Big Data vs. Big Crowds – New Research from Baidu’s Big Data Lab

March 29th, 2016|

Baidu’s Big Data Lab has released a paper detailing how to use big data analytics to predict large-scale crowd formation and warn people of potentially deadly stampede events, like the tragic one that claimed the lives of 36 people in Shanghai on New Year’s Eve, 2014. The paper is titled "Early Warning of Human Crowds Based [...]

SVAIL Tech Notes: A Look at Persistent Recurrent Neural Nets

March 25th, 2016|

Today we posted a new Tech Note in which Greg Diamos, a research scientist at Baidu's Silicon Valley AI Lab, discusses a new technique for speeding up the training of deep recurrent neural networks. Greg explains: At SVAIL, our mission is to create AI technology that lets us have a significant impact on hundreds of millions [...]

MIT Tech Review Features Baidu’s Deep Speech in Top 10 List of Breakthrough Technologies

February 25th, 2016|

MIT Tech Review released its annual Top 10 Breakthrough Technologies list this week, featuring Baidu's Deep Speech in the category of "Conversational Interfaces." Reporter Will Knight writes: "Voice interfaces have been a dream of technologists (not to mention science fiction writers) for many decades. But in recent years, thanks to some impressive advances in machine [...]

SVAIL Tech Notes: *Around the World in 60 Days

February 9th, 2016|

  Read the full post here. Ryan Prenger and Tony Han, research scientists at Baidu’s Silicon Valley AI Lab, have posted a Tech Note about how SVAIL enabled the Baidu Deep Speech system to recognize Mandarin in about sixty days, an ambitious project. They write: ...In just a few months, we produced a Mandarin speech [...]

Baidu’s Silicon Valley AI Lab Releases Warp-CTC, Open Source AI Software

January 14th, 2016|

Today Baidu's Silicon Valley AI Lab (SVAIL) released Warp-CTC, open source software for the machine learning community. Warp-CTC can be used to solve supervised problems that map an input sequence to an output sequence, such as speech recognition.  Get Warp-CTC and read more here  Warp-CTC Q&A Q. What is Warp-CTC? A. Warp-CTC is an open source implementation [...]

Notes from NIPS 2015

December 17th, 2015|

The annual NIPS (Neural Information Processing Systems) Conference was held last week in Montreal, drawing a record 4000 attendees. Baidu Research sent a team of people, including Sharan Narang from the SVAIL (Silicon Valley AI Lab) systems team. This was Sharan's first time at NIPS and he shares notes about his experience below: Hi, I’m Sharan. I have been at [...]

A Look Inside: Q&A with Zhenyao Zhu, SVAIL Intern

December 4th, 2015|

Today’s Q&A features Zhenyao Zhu, a PhD candidate who is completing a six-month internship at Baidu Research's Silicon Valley AI Lab. Zhenyao will soon be returning to the Chinese University of Hong Kong for the final year of his PhD. Q. Zhenyao, why did you decide to intern at Baidu? Zhenyao: I was intrigued by [...]

SVAIL Tech Notes: Deploying Deep Neural Networks Efficiently

November 25th, 2015|

Deep neural networks are increasingly important for powering AI-based applications but deploying them at scale is a challenge. In this video, Christopher Fougner, Research Scientist in Baidu Research's Silicon Valley AI Lab, talks about how we use GPUs to solve this problem. Some key points made by Chris: Deep neural networks are increasingly important for powering [...]