Speech recognition technology has made significant progress, with advancements in AI improving accessibility and accuracy. However, it still faces challenges, particularly in understanding spoken ...

As the use of large language models (LLMs) becomes increasingly prevalent across real-world applications, concerns about their vulnerabilities grow accordingly. Despite their capabilities, LLMs are ...

Vision models have evolved significantly over the years, with each innovation addressing the limitations of previous approaches. In the field of computer vision, researchers have often faced ...

Despite the success of Vision Transformers (ViTs) in tasks like image classification and generation, they face significant challenges in handling abstract tasks involving relationships between objects ...

Traditional large language model (LLM) agent systems face significant challenges when deployed in real-world scenarios due to their limited flexibility and adaptability. Existing LLM agents typically ...

Logic synthesis is one of the important steps in designing digital circuits, in which high-level descriptions are turned into detailed gate-level designs. The development of ML algorithms is ...

Neural Magic has released the LLM Compressor, a state-of-the-art tool for large language model optimization that enables far quicker inference through much more advanced model compression. Hence, the ...

Concept-based explanations of machine learning applications have a greater intuitive appeal, as established by emerging research as an alternative to traditional approaches. Concept-driven methods ...

Hugging Face has introduced Observers, a cutting-edge tool that enhances transparency and understanding of generative AI interactions. This open-source Python SDK offers developers an easy and ...

The field of structured generation has become important with the rise of LLMs. These models, capable of generating human-like text, are now tasked with producing outputs that follow rigid formats such ...

Generative agents are computational models replicating human behavior and attitudes across diverse contexts. These models aim to simulate individual responses to various stimuli, making them ...

In an era of information overload, advancing AI requires not just innovative technologies but smarter approaches to data processing and understanding. Meet CircleMind, an AI startup reimagining ...