🧠 AI🟢 Bullish

NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

arXiv – CS AI|Nataliya Kosmyna, Eugene Hauptmann|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

NeuroSkill is a new open-source AI system that models human mental states in real-time using brain-computer interfaces and biophysical signals. The system runs offline on edge devices and can engage with humans on cognitive and emotional levels through its NeuroLoop harness technology.

Key Takeaways

→NeuroSkill represents the first proactive agentic system capable of modeling human state of mind in real-time.
→The system operates fully offline on edge devices using foundation EXG models and text embeddings.
→It integrates directly with brain-computer interface devices to record human biophysical and brain signals.
→The NeuroLoop harness manages agentic flows that engage humans on multiple cognitive and affective levels.
→The software is released under GPLv3 open-source license with AI100 ethical licensing for skill components.

#neuroskill #brain-computer-interface #agentic-ai #real-time-ai #edge-computing #open-source #human-state-modeling #offline-ai #biophysical-signals #cognitive-ai

Read Original →via arXiv – CS AI

Act on this with AI

Stay ahead of the market.

Connect your wallet to an AI agent. It reads balances, proposes swaps and bridges across 15 chains — you keep full control of your keys.

Connect Wallet to AI →How it works

AI58m ago

Warren Buffett complained for decades that boosting profits by excluding exec stock comp was ‘cynical’—Nvidia just surprised Wall Street and agreed

Nvidia surprised Wall Street by agreeing to include executive stock compensation in its profit calculations, addressing a decades-old complaint by Warren Buffett about excluding such costs. This accounting change will likely boost Nvidia's credibility with investors while potentially pressuring competitors to follow suit.

AI3h ago

A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

Researchers introduced NeuroCognition, a new benchmark for evaluating LLMs based on neuropsychological tests, revealing that while models show unified capability across tasks, they struggle with foundational cognitive abilities. The study found LLMs perform well on text but degrade with images and complexity, suggesting current models lack core adaptive cognition compared to human intelligence.

AI3h ago

Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach

Researchers developed DICE-DML, a new framework that uses deepfake technology and machine learning to measure causal effects of visual attributes in digital advertising. The method addresses bias issues in standard approaches when analyzing how image elements like skin tone affect consumer engagement on social media platforms.