Convinced that R&D is a strong growth driver, we have dedicated a team of expert in order to evaluate the new technologies provided by our key partners. Beyond the benchmark of these new solutions, we aim at challenging their relevance regarding our customers operational needs.
HIPE - Hierarchic Image Processing Engine
The aim of this internal research project is to create a SaaS platform in which any user could compose dynamically (drag & drop) an image processing and/or machine learning stream. In addition, it should be possible to launch the resulted application both on x86 CPU and GPU without any manual intervention.
#MOOCLive - Study of online courses users
This research project #MOOCLive, funded by the ANR (French National Research Agency), aims at developing a MOOC Factory for training in Public and Global Health. In this project, ANEO provides a detailed understanding of participants and their usages, using machine learning algorithms.
FPGA project
Our various achievements have allowed us to acquire an important experience in parallel architectures such as Components off-the-Shelf (COTS) : Intel x86 multicore or AMD, IBM POWER architecture, ARM low-power chips, NVIDIA GPUs or AMDs or Intel's Xeon Phi. In addition, our experience in the compilation, vectorization or SMT (Simultaneous Multithreading) aspects allowed us to face many languages and tools. In order to broadening this expertise, we have launched this internal R&D project to fully explore the potential of FPGA cards. |