Despite the latest AI advancements, Large Language Models (LLMs) continue to face challenges in their integration into the ...

AI offers both promise and peril, and parents have the power to drive this change. By engaging with schools, collaborating with their communities and advocating for transparency and inclusivity, they ...

The launch of the flagship Galaxy S25 smartphone from Samsung showcased AI innovation from a company spun out of Oxford University ...

AI systems are often described using terms like "autonomous" or "self-learning," obscuring the vast amount of human labor required to train and maintain them. This labor includes tasks like data ...

Home > Press release: Innovative research tool for ...

The world is experiencing rapid advancements in artificial intelligence, with generative AI playing a central role in producing diverse content such ...

Among various AI algorithms, the Fair Representation Learning (FRL) approach has gained significant interest in recent years. However, existing FRL algorithms have a limitation: they are primarily ...

In an era when digital connections and social media often feel impersonal, the emergence of spatial social computing through platforms like Apple Vision Pro and the inSpaze app marks a pivotal shift ...

In this work, we propose a novel network representation learning algorithm by introducing group features of vertices of different orders to learn more discriminative network representations, named as ...

t-SNE is a machine learning algorithm for data dimensionality reduction, which can capture the local structure and global structure in high-dimensional data and reflect the discriminative ability of ...

LLP discuss "AI washing," used to describe false or misleading AI hype by companies seeking to attract investors, and ethical ...