Categorizing events using discriminant observables is central to many high-energy physics analyses. Yet, bin boundaries are often chosen by hand. A simple, popu...
Numerical reasoning is an important task in the analysis of financial documents. It helps in understanding and performing numerical predictions with logical con...
Estimating the Riesz representer is a central problem in debiased machine learning for causal and structural parameter estimation. Various methods for Riesz rep...
In this work we analyse a number of variants of the Wasserstein distance which allow to focus the classification on the prescribed parts (fragments) of classifi...
Self-supervised pre-training with contrastive learning is a powerful method for learning from sparsely labeled data. However, performance can drop considerably ...
We propose UAIT (Uncommon-sense Action Image-Text) dataset, a new evaluation benchmark designed to test the semantic understanding ability of visual language mo...
Achieving robust humanoid hiking in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, int...
How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and pronunciation correction. The post How AI Can Become Your Personal L...
Article URL: https://github.com/haykgrigo3/TimeCapsuleLLM Comments URL: https://news.ycombinator.com/item?id=46590280 Points: 107 Comments: 51...
Apple will use Google's Gemini AI model to power a more personalized Siri coming this year. 'After careful evaluation, we determined that Google's technology pr...
Multiply Labs – Automating Cell‑Therapy Manufacturing Startup works with leading cell‑therapy companies to bring robotics manufacturing into the clean room, re...
The eternal promise of self-service analytics The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science....
