NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...

A number of social media posts claim that GPT-5.6 Sol deleted files and data without warning. OpenAI had basically disclosed ...

Prediction markets and a move toward AI forecasting are starting to put the accuracy of weather predictions at risk. Here’s ...

This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

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, ...

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

Inspecting bridges, creating digital twins, and making self-driving cars safer are just a few uses, but many different industries will find uses for AI models that reason about 3D space.

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

Insurance carriers have always relied on data to understand risk. What has changed dramatically, however, is how that data is ...

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...