In recent years, speech synthesis has undergone a profound transformation thanks to the emergence of large-scale generative models. This evolution has led to significant strides in zero-shot speech synthesis systems, including text-to-speech (TTS), voice conversion...

The interdisciplinary domain of vision-language representation seeks innovative methods to develop systems to understand the nuanced interactions between text and images. This area is pivotal as it enables machines to process and interpret the vast amount of digitally...

Neuromorphic computing represents a transformative approach to artificial intelligence, seeking to emulate the human brain’s neural structures and processing methods. This computing paradigm offers significant advancements in efficiency and performance for specific...

In artificial intelligence, a significant focus has been on developing models that simultaneously process and interpret multiple forms of data. These multimodal models are designed to analyze and synthesize information from various sources, such as text, images, and...

Graphs are important in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. Alongside topological structure, nodes often possess textual features providing context. Graph Machine Learning (Graph ML),...

Web automation technologies are vital in streamlining complex tasks that traditionally require human intervention. These technologies automate actions within web-based platforms, enhancing efficiency and scalability across various digital operations. Traditionally,...