A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this 'hive mind' signals a ...
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 growing prevalence of scammers and grifters.
On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what may be the largest-scale experiment in machine-to-machine social interaction ...
Of the countless AI tools available today, NotebookLM remains virtually one of a kind. As a Google app that uses AI to help you work with your own source material -- and only the stuff you provide it ...
It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...
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 ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results