AI

“Meta has done a great job having a breadth of different things they support, like text-to-speech, speech-to-text, even automatic speech recognition,” says…

Speech processing systems often struggle to deliver clear audio in noisy environments. This challenge impacts applications such as hearing aids, automatic speech…

Blockchain systems face significant challenges in efficiently managing and updating state storage due to high write amplification (WA) and extensive I/O operations….

LLMs, such as GPT-3.5 and GPT-4, have shown exceptional capabilities in language generation, comprehension, and translation tasks. Despite these advancements, their performance…

Mathematical reasoning has long been a significant challenge for Large Language Models (LLMs). Errors in intermediate reasoning steps can undermine both the…

Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is more than…

The increasing capabilities of large generative models and their ever more widespread deployment have raised concerns about their reliability, safety, and potential…

In today’s digital age, we are surrounded by enormous amounts of data, from social media interactions to e-commerce transactions and medical records….