The business landscape is undergoing a profound transformation, driven by artificial intelligence technologies that are reshaping how companies approach sales and customer relationships. As we ...

The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international relations and conflict studies. The process ...

The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis. However, many models struggle to capture the nuances of ...

Large Language Models (LLMs) have demonstrated impressive proficiency in numerous tasks, but their ability to perform multi-step reasoning remains a significant challenge. This limitation becomes ...

Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the demands ...

The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure their operations run ...

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...

Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program optimization, and debugging. The traditional approaches have two major ...

Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and the regulation of microbial populations while also causing ...

On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 showcases advancements in mathematical and scientific reasoning, ...

The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages and topics, the ability to understand and ...

Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are distinct from conventional AI tools in that they can adaptively ...