My friends Joey Gonzalez and Yucheng Low, are among the organizers of this year
NIPS workshop on big learning. Mark down your calendars for December 16-17 in Sierra Nevada, Spain.
Some of the interesting topics of this workshop:
Hardware Accelerated Learning: Practicality and performance of specialized high-performance hardware (e.g. GPUs, FPGAs, ASIC) for machine learning applications.
Applications of Big Learning: Practical application case studies; insights on end-users, typical data workflow patterns, common data characteristics (stream or batch); trade-offs between labeling strategies (e.g., curated or crowd-sourced); challenges of real-world system building.
Tools, Software, & Systems: Languages and libraries for large-scale parallel or distributed learning. Preference will be given to approaches and systems that leverage cloud computing (e.g. Hadoop, DryadLINQ, EC2, Azure), scalable storage (e.g. RDBMs, NoSQL, graph databases), and/or specialized hardware (e.g. GPU, Multicore, FPGA, ASIC).
Hopefully, if I manage to scrap enough travel money, I may even attend!