This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

Abstract: Breast cancer is the most common cancer in females, causing a significant amount of morbidity and mortality. In 2020, there were about 2.3 million new cases and 684,996 deaths worldwide.

S&P Global today announced the completion of its acquisition of Enertel AI Corporation, a company specializing in AI and machine learning-driven short-term power price forecasting for North American ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

Abstract: Time series forecasting is a cornerstone of predictive analytics in diverse domains, such as electricity power production (power plants) and transmission (power grids). Predicting ...

Telecom success hinges on four key developments: agentic AI, sustainability imperatives, edge computing, and workforce modernization. So says enterprise software firm IFS.

In September 2025, for the first time, all the member states of the United Nations gathered to discuss international AI governance; many were represented again in February at Delhi’s AI Impact Summit.