Machine learning
Researchers at the University of Canberra conducted a study to examine people's first impressions of a humanoid chatbot, specifically 'Pepper', a robot outfitted with ChatGPT, in a public venue. The study, published in the journal Scientific Reports, aimed to understand the affective, social, and material forces
Artificial intelligence
Researchers at the National University of Science and Technology in Islamabad, Pakistan, have made significant progress in the field of neuro-symbolic AI, which combines the efficiency of neural networks with the interpretability of symbolic reasoning. This hybrid methodology aims to create advanced cognitive systems that can learn, reason, and explain
Machine learning
A recent study from Nanjing University has addressed the demand for AI literacy education by designing a curriculum that balances theoretical knowledge with practical application. The research, led by Rong SUN and Baiyang LI, aims to develop a comprehensive learning system for students with varying academic backgrounds, expertise, and learning
Machine learning
Researchers from the Zhongyuan University of Technology in Zhengzhou, People's Republic of China, have made significant strides in enhancing the ability of computers to understand and generate metaphors, a crucial aspect of natural language processing. The breakthrough comes from a novel approach that combines a Convolutional Neural Network
Machine learning
Research conducted at King Abdulaziz University has demonstrated the potential of using generative AI, specifically GPT-4, in categorizing course learning outcomes according to their respective cognitive levels within the revised Bloom's taxonomy. The study employed various prompt engineering strategies, including zero-shot, few-shot, chain-of-thought, rhetorical situation, and multiple binary
Machine learning
Researchers from Zhejiang University have conducted an in-depth study to evaluate the performance of large language models (LLMs) in the legal domain. Specifically, they investigated the capabilities of LLMs, such as ChatGPT and GPT-4, developed by OpenAI, and compared their performance with legal-specific LLMs. The study found that GPT-4 maintained
Machine learning
Research conducted by a team from Fayoum University has focused on the increasing issue of cyberbullying on social media platforms. The study highlighted that social media has become a breeding ground for cyberbullying, with tweets and comments often causing significant emotional distress. To combat this issue, the researchers developed a
Artificial intelligence
As older adults embark on their journey of leisure, travel technology has become a vital component in ensuring a safe and enjoyable experience. With the assistance of AI-powered planning apps, mobility aids, hearing support, health monitoring tools, language translators, and digital communication platforms, travelers can navigate the world with confidence
Artificial intelligence
At the Asia Summit on Global Health, held in Hong Kong, experts highlighted the transformative power of AI in healthcare, from diagnostic accuracy to personalized treatment plans. Professor Chak-sing Lau, Vice-President & Pro-Vice-Chancellor (Health) at the University of Hong Kong, emphasized the need for responsible AI innovation, balancing technological advancement
Artificial intelligence
The global cloud AI market is witnessing significant growth, propelled by the increasing adoption of cloud computing, the rise of generative AI and machine learning, and a growing demand for big data. The market size is expected to reach US$ 739.46 billion by 2031, registering a CAGR of 36.
Artificial intelligence
His Highness Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of the Abu Dhabi Executive Council, attended the 2025 commencement ceremony of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), marking the largest and most diverse cohort to date. The graduating class consisted
Machine learning
Researchers from the National Technical University of Athens have discussed the rapid advancement of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), which has led to the development of high-performance models in various applications. However, security threats arise from the vulnerabilities of ML models to adversarial attacks
