Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...

Abstract: Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exacerbate ...

Abstract: This work presents an AI-driven language learning system that combines immersive VR technology and gamification to explore alternative approaches in language education. Developed for ...

Abstract: This study proposes XAVE–an asymmetric virtual environment in which users on various devices and platforms (personal computer (PC), mobile devices, virtual reality (VR) and augmented reality ...