Jen-Hsun Huang co-founded NVIDIA in 1993 and has served since its inception as president, chief executive officer and a member of the board of directors. Under his leadership, NVIDIA invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from smartphones and tablets to notebooks and workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing that make supercomputing inexpensive and widely accessible.
Wednesday, March 18 – 11:00 AM
Jeff joined Google in 1999 and is currently a Google Senior Fellow in Google's Knowledge Group, where he leads Google's deep learning research team in Mountain View. He has co-designed/implemented five
generations of Google's crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google's initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google's distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, LevelDB, systems infrastructure for statistical machine translation, and a variety of internal and external libraries and
Thursday, March 19 -11:00 AM
Dr. Andrew Ng is Chief Scientist at Baidu. He leads Baidu Research, which includes three interrelated labs: the Silicon Valley AI Lab, the Institute of Deep Learning and the Big Data Lab. The organization brings together global research talent to work on fundamental technologies in areas such as image recognition and image-based search, speech recognition, natural language processing and semantic intelligence. In addition to his role at Baidu, Dr. Ng is a faculty member in Stanford University's Computer Science Department, and Chairman of Coursera, an online education platform that he co-founded.
GTC is the largest and most important event of the year for GPU developers and the entire ecosystem.
This year, the conference highlights the growing revolution in deep learning that can affect every aspect of computing.
Connect with technology experts from NVIDIA and other leading organizations.
Gain insight and hands-on training through the hundreds of sessions and research posters.
See how GPU technologies are creating amazing breakthroughs in important fields such as deep learning.
Hear about disruptive innovations as early-stage companies and startups present their work.
Attending GTC gives me the opportunity to exchange ideas with world leaders in GPU computing from both academia and industry.
Bertil Schmidt, Johannes Gutenberg University Mainz
This is the place where scientists, programmers, researchers, and a myriad of creative professionals convene to tap into the power of a GPU for more than gaming.
I met a lot of smart and cool people. I could basically tap on any shoulder and have the best conversations on GPU technology.
Kora Van Den Bulcke, Immersive Design Studios
Carnegie Mellon University
Assistant Research Professor
Dirk Van Gelder
University of California, San Diego
Associate Professor, Chemistry and Biochemistry
Technical Lead Engineer
PhD Student / Lead Developer of Caffe
University of Illinois at Urbana-Champaign
Senior Research Programmer
Rob Fergus is an Associate Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University. He is also a Research Scientist at Facebook, working in their AI Research Group. He received a Masters in Electrical Engineering with Prof. Pietro Perona at Caltech, before completing a PhD with Prof. Andrew Zisserman at the University of Oxford in 2005. Before coming to NYU, he spent two years as a post-doc in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. William Freeman.
Carnegie Mellon University
Assistant Research Professor
Ian Lane is an Assistant Professor at Carnegie Mellon University. He leads the speech and language-processing group at CMU Silicon Valley and performs research in the areas of speech recognition, spoken language understanding and speech interaction. Ian and his group are developing methods to accelerate speech and language technologies using GPUs.
Dr. Dan Ciresan received his PhD from Universitatea Politehnica Timisoara, Romania. He first worked as a postdoc before becoming a senior researcher at IDSIA, Switzerland. Dr. Ciresan is one of the pioneers of using CUDA for Deep Neural Networks (DNNs). His methods have won five international competitions on topics such as classifying traffic signs, recognizing handwritten Chinese characters, segmenting neuronal membranes in electron microscopy images, and detecting mitosis in breast cancer histology images. Dr. Ciresan has published his results in top-ranked conference proceedings and journals.
John Canny is a professor in computer science at UC Berkeley. He is an ACM dissertation award winner and a Packard Fellow. He is currently a Data Science Senior Fellow in Berkeley's new Institute for Data Science and holds a INRIA (France) International Chair. Since 2002, he has been developing and deploying large-scale behavioral modeling systems. He designed and protyped production systems for Overstock.com, Yahoo, Ebay, and Quantcast. He currently works on several applications of data mining for human learning (MOOCs and early language learning), health and well-being, and applications in the sciences.
Dr. Ren Wu is a distinguished scientist at Baidu Research. He is leading the effort to push the frontier of deep learning and artificial intelligence (AI) via high-performance heterogeneous computing, aiming to make AI capable of doing anything and be in anywhere at anytime. Prior to joining Baidu, Ren served as chief software architect of Heterogeneous System Architecture (HSA) at AMD.
Yangqing Jia finished his Ph.D. in computer vision at UC Berkeley supervised by Trevor Darrell in May 2014. He is now a research scientist at Google. His main interests lie in large-scale and cognitive science inspired vision systems. His work focuses on enabling efficient learning of state-of-the-art features and human-like concept generalization from perceptual inputs. He was in the GoogLeNet team that won several of the ILSVRC 2014 challenges. He was also the recipient of the best paper award at ECCV 2014. He is the original author and a core developer of Caffe.
Dirk Van Gelder joined Pixar Animation Studios in 1997 as a software engineer for Academy Award® nominated film A Bug's Life and winning short film Geri's Game, working on animation software and the studio's first use of subdivision surfaces. Dirk has worked on software for every Pixar movie since, including the ground-up rewrite of the studio's proprietary animation system Presto. Currently Dirk leads the Character and GPU teams in the Pixar Studio Tools Department.
Rommie E. Amaro, faculty in the Department of Chemistry and Biochemistry at the University of California, San Diego (UCSD), is a native of the south side of Chicago. She received her B.S. (Chemical Engineering, 1999) and Ph.D. (Chemistry, 2005) from the University of Illinois at Urbana-Champaign. She was a NIH postdoctoral fellow with Andy McCammon (UCSD). Rommie is the recipient of an NIH New Innovator Award, the Presidential Early Career Award for Scientists and Engineers, and the ACS COMP Outstanding Junior Faculty Award.
Bill Paone is the Technical Lead Engineer for Fixed Wing Image Generation Product Development and Integration for Boeing Training Systems and Government Services (TS&GS). Bill has led image generation development and production for multiple world-wide programs. Emphasizing in visual simulation design, his career also includes development and production engineering in multiple fields with lead positions in hardware design, software design and image generator design and development in immersive training systems.
PhD Student / Lead Developer of Caffe
Evan Shelhamer is a PhD student at UC Berkeley advised by Trevor Darrell as a member of the Berkeley Vision and Learning Center. His research is on deep learning and end-to-end optimization for vision. He is the lead developer of the Caffe deep learning framework and takes his coffee black.
Inigo Quilez is fascinated with the potential of using code and math to build visual beauty. After many years in the demoscene, Inigo worked in virtual reality and real-time rendering. Today he's employed at Oculus, inventing techniques, drawing and creating procedural imagery.
John Stone is a Senior Research Programmer in the Theoretical and Computational Biophysics Group at the Beckman Institute for Advanced Science and Technology, and Associate Director of the NVIDIA CUDA Center of Excellence at the University of Illinois. Mr. Stone is the lead developer of VMD, a high performance molecular visualization tool used by researchers all over the world. His research interests include molecular visualization, GPU computing, parallel processing, ray tracing, haptics, and virtual environments. Mr. Stone was awarded as an NVIDIA CUDA Fellow in 2010.
GTC 2015 featured 550 sessions covering a diverse range of topics from Deep Learning to Web Acceleration.
GTC will be held in sunny San Jose, California, where the average temperature in March is 66 degrees Fahrenheit/18 degrees Celsius. Come in the weekend before or stay a few days after to experience all that the Bay Area has to offer, including the beautiful city of
San Francisco, the world-renowned wine country of Napa, and the incomparable natural beauty of the Monterey coast.
Mark Your Calendars for GTC 2016: April 4 - 8, 2016 - Silicon Valley SAVE THE DATE