A database left accessible to anyone online contained billions of records, including sensitive personal data that criminals ...

A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...

On a live-fire range here, the crack of M4 carbines and M17 pistols signaled more than marksmanship qualification; it marked ...

Chongqing PSK-Health Sci-Tech Development Co., Ltd. is a medical equipment manufacturer specializing in diagnostic and rehabilitation solutions for healthcare facilities. Based in Chongqing, China, ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Fort Carson, Colo. – The 4th Infantry Division tested advanced wearable sensors and end-user software during Ivy Sting IV, ...

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

Hi, This is an amazing work! I've already started to use Qwen3VL-2B-Instruct to train an embedding model on the MMEB-train dataset before you released your own embedding models. While the final ...

Abstract: Intraoperative anomalies cause deviations from the ideal surgical workflow, heightening the risk of consequential errors and complications. Their reliable recognition has traditionally ...

The Douglas County CASA offices. Nonprofits can struggle to raise money even at the best of times, according to Erick Vaughn, the executive director for Douglas County CASA. But federal budget cuts ...

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...

This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.