Today we see a wide ranging explosion of applications that are wide and connected with an emphasis on storage and processing. Most companies are storing a lot of data but not solving the problem of what to do with it. Yet most of the information is stored in raw form: There a huge amount of information locked-up in databases: information that is potentially important but has not yet been discovered.
Our Success: Combinatorial Innovation
Many big companies like Google, Facebook and Baidu are Open-Sourcing their most powerful algorithms that are built mainly for Natural Language and Image understanding.
This is an enormous opportunity for small and medium high-tech companies to develop Smart Vertical Applications: we call this process COMBINATORIAL INNOVATION.
Since all the Heavy Work of creating the fundamental algorithms is already done, developing powerful industrial application is just a matter of Combining the existing code in a proper way.
Machine Learning Applications
We’ve seen there is a huge demand in industry for machine learning applications: everyone is collecting large amounts of data but very few companies have the technical knowledge to extract the information that the customer needs.
Here is a brief list of the projects we have developed for our customers.
Machine Learning Benchmarks
If you work with Machine Learning and Deep Learning most probably you have the same problem we have every day: when it’s time to buy new hardware you cannot find any recent and reliable benchmark.
In this section we compare the performances of different GPUs (NVIDIA GTX 1080, TITAN X) versus different frameworks (TensorFlow, Nervana Systems Neon, Berkeley Caffe) and different algorithms.
Soon we’ll add some full system and distributed system benchmarks as well.