IEEE

Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Eagle-Tribune

Toshiba’s Breakthrough Algorithm Harnesses Edge of Chaos to Dramatically Boost Performance of its Quantum‑Inspired Computer

Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary quantum‑inspired combinatorial ...
BioSpace

Toshiba’s Breakthrough Algorithm Harnesses Edge of Chaos to Dramatically Boost Performance of its Quantum‑Inspired Computer

KAWASAKI, Japan--(BUSINESS WIRE)--#SBM--Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary ...
IEEE

GTab: Gradient Boosting Bipartite Graph Neural Networks for Holistic Tabular Data Predictions

Abstract: Real-world analytics hinges on tabular data, yet prevailing learners face a triple bind: tree ensembles excel on fixed schemas but cannot generalize to new columns, neural nets learn rich ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...