Mickael Ide

Mickael Ide is a Machine Learning Engineer on the RAPIDS team at NVIDIA, focused on developing GPU-accelerated algorithms for machine learning. Mickael holds a master degree in Computer Science.
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Posts by Mickael Ide

Data Center / Cloud

Accelerating Vector Search: Fine-Tuning GPU Index Algorithms

The first post in this series introduced vector search indexes, explained the role they play in enabling a widespread range of important applications, and... 11 MIN READ
Data Center / Cloud

Accelerating Vector Search: Using GPU-Powered Indexes with RAPIDS RAFT

In the AI landscape of 2023, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. Semantic... 11 MIN READ
Accelerating classification on sparse data with GPUs and a splash of Bayes
Data Science

Faster Text Classification with Naive Bayes and GPUs

Naive Bayes (NB) is a simple but powerful probabilistic classification technique that parallelizes well and can scale to datasets of massive size.  If you... 11 MIN READ