It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The study investigated how perceived workload, satisfaction, performance expectancy, and risk-benefit perception influenced users’ trust in Chat Generative Pre-Trained Transformer (ChatGPT). The analysis based on a survey conducted among adults…
Continue readingThe article discusses the challenges of integrating machine learning (ML) in education, such as issues of fairness, transparency, and data privacy. A root cause of these issues is the lack…
Continue readingThe article explores the challenges faced by Conversational Agents (CA) and suggests improvements through cognitively inspired components. The authors note that while large language models like GPT3 have enhanced the…
Continue readingThe article discusses the challenges of high computational cost and high-dimensional representation in pre-trained language models (PLMs) for text representation. To overcome these issues, the authors propose a novel Knowledge…
Continue readingThe research by Zhan et al. explores the vulnerability of large language models (LLMs), particularly GPT-4, due to fine-tuning. The researchers demonstrate that fine-tuning can be used to remove RLHF…
Continue readingThis article focuses on the use of generative artificial intelligence (GenAI), specifically ChatGPT, in qualitative research. The authors conducted a user study with ten qualitative researchers to understand their perceptions…
Continue readingThe researchers developed a generative music AI framework, Video2Music, capable of generating music to match a provided video. They created a unique collection of music videos, from which they extracted…
Continue readingThe article discusses a new method for detecting deepfake videos. Deepfakes are synthetic media, including images, videos, and audio, that can be used for unethical purposes. The proposed method uses…
Continue readingThis academic article discusses the design and implementation of a rubble analyzer probe that uses machine learning (ML) to detect human presence in the aftermath of earthquakes. The probe is…
Continue readingThe research focuses on improving spoken language understanding systems’ ability to handle unseen intents. A generalized zero-shot audio-to-intent classification framework is proposed, which uses a few sample text sentences per…
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