Abstract: Multi-task prompt learning has emerged as a promising technique for fine-tuning pre-trained Vision-Language Models (VLMs) to various downstream tasks. However, existing methods ignore ...

Discover nine essential ways AI helps financial advisors enhance client services, optimize portfolios, assess risks, and streamline operations effectively.

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A ...

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

People who only had one job and couldn’t get it right. Fans walk out of Wizard of Oz Christmas show: 'It was atrocious' Florida’s 'forgotten' coastline offers quaint towns and fresh seafood without ...

Chinese scientists have allegedly developed a series of new photonic (light-based) microchips that could outperform NVIDIA’s leading artificial intelligence (AI) graphics processing units (GPUs) by ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...