The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
The recurring conflict between app-based ride services and traditional local taxi drivers has flared up again in Kerala.
Abstract: Multi-object tracking (MOT) is essential in applications such as surveillance, security, healthcare, and autonomous driving, where effective feature extraction is critical to the performance ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
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