As submissions to AI conferences soar, authors’ own rankings — combined with peer review — could offer a powerful way to identify high-impact research.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Apple researchers figured out a way to speed up AI speech generation from text without sacrificing audio quality or breaking intelligibility.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

OpenClaw, formerly known as Clawdbot and Moltbot, has created massive buzz from Silicon Valley to Beijing due to its ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

After changing its name from Clawdbot to Moltbot to OpenClaw within days, the viral AI agent faces security questions and a ...

On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

Abstract: The multi-label text classification (MLTC) task involves associating text data with multiple relevant labels. However, previous studies often overlooked the co-occurrence information of ...