Research Papers published by researchers, companies, others which are available publicly and useful for deeper understanding of data science
Industry Agentic AI · Executive U.S. Healthcare Edition Agentic Healthcare: Making America’s Health System More Connected, Affordable, and Human How governed AI can strengthen prevention, care delivery, insurance,…
Building a Five-Year AI Portfolio That Can Survive the Cycle A public thought experiment in owning infrastructure, platforms, applications and adopters IMPORTANT DISCLAIMER This article is an educational…
AI Investment Cycles, Portfolio Concentration, and the Cost of Being Early Lessons from Situational Awareness—and what they may tell us about the next phase of AI investing IMPORTANT…
Expanded Edition · From Intellectual Foundations to the 2035 Questions Building the Intelligence Age: AI’s Seventy-Five-Year Journey and the Race to 2031 How seventy-five years of research became…
A source-audited business case showing $16Tn in value Agentic AI can enable, $8Tn in economic benefit that can be captured, and the impact on companies, governments, workers, industries, and regional economies
Industry Transformation Research Playbook · 2026 Agentic AI: From Better Answers to Entirely New Industry Economics Why agents create value that dashboards, rules engines, RPA, predictive models, and…
First M87 Event Horizon Telescope Results. III. Data Processing and Calibration Abstract We present the calibration and reduction of Event Horizon Telescope (EHT) 1.3 mm radio wavelength observations…
Abstract – Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. Further progress towards understanding compositionality in tasks…
http://www.cs.toronto.edu/~hinton/papers.html One of his earlier articles written in 1986!Learning internal representations by error propagation. http://www.cs.toronto.edu/~hinton/absps/pdp8.pdf Another one of his earlier articles, very interesting and written in 1992. How neural…
Abstract – We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take…
