Predicting Airline Delays at Scale with Spark ML

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
Unite.AI

How to Build Reliable RAG: A Deep Dive into 7 Failure Points and Evaluation Frameworks

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...
Pharmabiz

Transgene and NEC Bio ink agreement to prepare the next steps of the development of TG4050 in head and neck cancer

Transgene and NEC Bio ink agreement to prepare the next steps of the development of TG4050 in head and neck cancer: Strasbourg, France Monday, April 6, 2026, 17:00 Hrs [IST] Trans ...
Scientific Research Publishing

A Material Removal Prediction Framework for Ball EEM Polishing in Precision Lens Manufacturing ()

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
The LancetOpinion

Should AI have a seat in the selection committee for liver transplantation?

Both eligibility and access criteria for liver transplantation (LT) have continued to evolve as indications broaden; ...
WinBuzzer

Microsoft Open-Sources Harrier Embedding Model, Tops MTEB

Microsoft's Bing team has open-sourced Harrier, an embedding model family that tops the multilingual MTEB v2 benchmark under an MIT license.