“As the founding lead of the Google Brain project, and more recently through my role at Baidu, I have played a role in the transformation of two leading technology companies into “AI companies.” But AI’s potential is far bigger than its impact on technology companies. I will continue my work to shepherd in this important societal change. In addition to transforming large companies to use AI, there are also rich opportunities for entrepreneurship as well as further AI research.”
Andrew Ng on why Artificial Intelligence is the New Electricity
March 6, 2017 by
“Electricity transformed industries: agriculture, transportation, communication, manufacturing. I think we are now in that phase where AI technology has advanced to the point where we see a clear path for it to transform multiple industries.” Specifically, Ng sees AI being particularly influential in entertainment, retail, and logistics.
Mellanox Ethernet Accelerates Baidu Machine Learning
January 10, 2017 by
Today Mellanox announced that Spectrum Ethernet switches and ConnectX-4 100Gb/s Ethernet adapters have been selected by Baidu, the leading Chinese language Internet search provider, for Baidu’s Machine Learning platforms. The need for higher data speed and most efficient data movement placed Spectrum and RDMA-enabled ConnectX-4 adapters as key components to enable world leading machine learning […]
Podcast: Where Deep Learning Is Going Next
December 8, 2016 by
In this Nvidia podcast, Bryan Catanzaro from Baidu describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. “AI gets better and better until it kind of disappears into the background,” says Catanzaro — NVIDIA’s head of applied deep learning research — in conversation with host Michael Copeland on this week’s edition of the new AI Podcast. “Once you stop noticing that it’s there because it works so well — that’s when it’s really landed.”
FPGAs Accelerate Machine Learning at Baidu
October 30, 2016 by
Xilinx has announced that Baidu, a Chinese language Internet search provider, is utilizing Xilinx FPGAs to accelerate machine learning applications in its datacenters in China. “Acceleration is essential to keep up with the rapidly increasing data centre workloads that support our growth,” said Yang Liu, executive director at Baidu.
Mellanox Receives Baidu Award for Innovation in Machine Learning
July 25, 2016 by
Today Mellanox announced it has received the Award for Technology Innovation from Baidu, Inc. The award recognizes Mellanox’s achievements in designing and delivering a high-performance, low latency interconnect technology solution that positively impacts Baidu’s business. Mellanox Technologies received the award at the 2016 Baidu Datacenter Partner Conference, Baidu’s annual gathering of key datacenter partners, and was the only interconnect provider in this category.
Video: Analyst Crossfire from ISC 2016
June 27, 2016 by
In this this lively panel discussion from ISC 2016, moderator Addison Snell asks visionary leaders from the supercomputing community to comment on forward-looking trends that will shape the industry this year and beyond.
Accelerating Machine Learning with Open Source Warp-CTC
January 15, 2016 by
Today Baidu’s Silicon Valley AI Lab (SVAIL) released Warp-CTC open source software for the machine learning community. Warp-CTC is an implementation of the #CTC algorithm for #CPUs and NVIDIA #GPUs. “According to SVAIL, Warp-CTC is 10-400x faster than current implementations. It makes end-to-end deep learning easier and faster so researchers can make progress more rapidly.”
ISC 2016 Announces Keynote Speakers
December 17, 2015 by
ISC 2016 has announced their keynote speakers. The event takes place June 19-23 in Frankfurt, Germany.
Deep Learning System Replaces Hand-Engineered Components With Neural Networks
December 16, 2015 by
Baidu Research has unveiled new research results from its Silicon Valley AI Lab (SVAIL). Results include the ability to accurately recognize both English and Mandarin with a single learning algorithm. The results are detailed in a paper: Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
