As large language models (LLMs) evolve into multimodal systems that can handle text, images, voice and code, they’re also becoming powerful orchestrators of external tools and connectors. With this ...
CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
The Punch on MSN
Expert to build privacy-safe AI for smart spaces
Amid global concerns about privacy through smart cameras and continuous data collection, a Nigerian-born engineer, James Onyejizu, has said he is pioneering privacy-preserving, AI-driven multimodal ...
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
Doctors have been diagnosing schizophrenia for more than a hundred years, but when it comes to treating this serious brain illness, the remedies still fall short. Sure, they can treat the ...
Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...
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