At Bloomberg’s Technology and Innovation Forum in Singapore, the most useful conversation about quant research did not start ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Welcome back to the AI Shift, our weekly exploration of how models and agents are reshaping work. For this edition, we’re ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Enterprise AI is at an inflection point. What began with centralized, cloud-scale large language models (LLMs) is moving ...

Guest blog by Anthony Collins, Technical Director Data and Digital Competency Centre; Nathaniel Henman, Data Scientist; John ...

Despite C-suite optimism and more investment, there's a big gap between AI aspirations and enterprise readiness. The answer? Savvy redesign of core processes and roles.

Researchers from the Oak Ridge National Laboratory, Cleveland Clinic and IBM announced a breakthrough on Monday that could ...

This is the second of three feature articles Ars is publishing to explore the financial, technical, and competitive ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...