Tag: Big Data

AI Machine Learning & Data Science Research

SYSU and UBTECH Propose Big Learning for Justifying, Analyzing, and Improving Foundation Models

A research team from Sun Yat-sen University and UBTECH proposes a unified approach for justifying, analyzing, and improving foundation models in the new paper Big Learning: A Universal Machine Learning Paradigm? The team’s big learning framework can model many-to-all joint/conditional/marginal data distributions and delivers extraordinary data and task flexibilities.

AI Machine Learning & Data Science Research

SPANN: A Highly-Efficient Billion-Scale Approximate Nearest Neighbour Search That’s 2× Faster Than the SOTA Method

A research team from Microsoft, Peking University, Tencent, and Baidu proposes SPANN, a simple but efficient memory-disk hybrid vector indexing and search system that guarantees both low latency and high recall and achieves a 2× speedup over the state-of-the-art nearest neighbour search (ANNS) solution while retaining the same recall quality and memory cost.