This study investigates the use of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. The research evaluates the LLM’s ability to engage in empathetic and adaptable…
Continue readingThe article discusses the importance of smart technologies in supporting the elderly to live independently in their homes. It highlights the use of Artificial Intelligence (AI) and Machine Learning (ML)…
Continue readingThis paper explores the use of AI, specifically Large Language Models (LLMs), in Otome games to address the emotional needs of players. The researchers present a case study of ‘Tears…
Continue readingThe article presents FedPEAT, a system that merges federated learning, parameter-efficient fine-tuning, and emulator-assisted tuning for AI foundation models with mobile edge computing. The system is designed to address challenges…
Continue readingThe research introduces a novel framework, FedPEAT, which converges Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning. The framework is designed to address the challenges in deploying and fine-tuning…
Continue readingThe research introduces a novel approach in circuit design by using artificial intelligence technologies. The most time-consuming parts of the physical design process are placement and routing. This research proposes…
Continue readingThe article discusses the importance of trust in AI and the need for reliable measurement tools. It suggests using gaze data as a potential tool for assessing trust. The authors…
Continue readingThe article presents a new method for extracting knowledge from AI systems, focusing on AlphaZero, an AI system that has mastered chess. The researchers propose using AI not just as…
Continue readingThe article reviews the application of Machine Learning in diagnosing and assessing symptoms of schizophrenia. Initially, schizophrenia was a broad term for various severe mental health conditions, but now it’s…
Continue readingThis research presents an interface based on Variational Autoencoders trained with natural sounds for the innovative creation of Foley effects. The model can transfer new sound features to prerecorded audio…
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