In this video from SC15, Bryan Catanzaro, senior researcher in Baidu Research’s Silicon Valley AI Lab describes AI projects at Baidu and how the team uses HPC to scale deep learning. Advancements in High Performance Computing are enabling researchers worldwide to make great progress in AI.
Share Your Machine Learning Story to Inspire Others
November 29, 2015 by
Baidu’s Chief Scientist Andrew Ng has started a Social Media campaign for inspiring people to study Machine Learning. “Regardless of where you learned Machine Learning, if it has had an impact on you or your work, please share your story on Facebook or Twitter in a short written or video post. I will invite the people who shared the 5 most inspirational stories to join me in a conversation on Google Hangout about the future of machine learning.”
Video: Why is HPC so Important to AI?
August 31, 2015 by
In this video from the SF Big Analytics Meetup, Bryan Catanzaro from Baidu presents: Why is HPC so important to AI? “We built Deep Speech because we saw the opportunity to re-conceive speech recognition in light of the new capabilities afforded by Deep Learning, to take advantage of even larger datasets to solve even harder problems.”
HPC News Bytes for Friday, June 5, 2015
June 5, 2015 by
While we’re always on the lookout for HPC news, not everything makes it to the front page. In notable items from this week, MPI 3.1 is out, India launches a new weather forecasting supercomputer, and Baidu is banned from an image recognition contest.
Ren Wu Presents: Deep Learning at Scale
May 19, 2015 by
“We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep learning, a highly optimized parallel algorithm using new strategies for data partitioning and communication, larger deep neural network models, novel data augmentation approaches, and usage of multi-scale high-resolution images.”
Replay: GTC Keynote on Deep Learning at Baidu
March 19, 2015 by
“Deep Learning has transformed many important tasks, including speech and image recognition. Deep Learning systems scale well by absorbing huge amounts of data to create accurate models. The computational resources afforded by GPUs have been instrumental to this scaling. However, as Deep Learning has become more mainstream, it has generated some hype, and has been linked to everything from world peace to evil killer robots. In this talk, Dr. Ng will help separate hype from reality, and discuss potential ways that Deep Learning technologies can benefit society in the short and long term.”
