Today’s Q&A features Jim Fan, an undergrad intern in Baidu Research’s SVAIL (Silicon Valley AI Lab). Jim will soon be returning to Columbia University for his senior year. Jim Fan Q: Jim, what [...]
Welcome to the newest post in our interview series: “A Look Inside”. Today’s post highlights Hieu Pham and Liang-chieh Chen, interns in Baidu Research’s IDL (Institute of Deep Learning).
Adam Coates of Baidu Research Recognized by MIT Technology Review; Earns Spot on Annual “Innovators Under 35” List
Today, MIT Technology Review revealed its annual list of Innovators Under 35 and announced that Dr. Adam Coates of Baidu Research has been recognized as a visionary for his work in the field of software.
Baidu Research’s Silicon Valley AI Lab (SVAIL) is developing a next-generation speech recognition system named Deep Speech, which converts spoken words directly to transcribed output. Q & A with Awni Hannun and Bryan Catanzaro.
Welcome to the newest post in our series: “A Look Inside: Conversations with Baidu Research.”
Baidu Chief Scientist Andrew Ng delivered a keynote address at the GPU Technology Conference on March 19 in San Jose, CA. During his hour-long talk to a packed house of 2500+, Dr. Ng provided a look at the driving forces behind recent advances in deep learning.
Baidu Research had a full house recently when we hosted the Silicon Valley Machine Learning Meetup for an evening of community and conversation, including a look at the current state of speech recognition.
Speech recognition is an established technology, but it tends to fail when we need it the most, such as in noisy or crowded environments, or when the speaker is far away from the microphone. At Baidu we are working to enable truly ubiquitous, natural speech interfaces.
Welcome to “A Look Inside”, a new Q&A series with Baidu Research team members. Baidu Research is led by Dr. Andrew Ng and represents three labs: the Silicon Valley AI Lab, the Institute of Deep Learning and the Big Data Lab.
At Baidu's Silicon Valley AI Lab, we are hiring talented engineers, including new college grads, to focus on next-generation deep learning systems and algorithms.