Machine unlearning is driven by the need for data autonomy, allowing individuals to request the removal of their data’s influence on machine learning models. This field complements data privacy ...

Large language models (LLMs) built using transformer architectures heavily depend on pre-training with large-scale data to predict sequential tokens. This complex and resource-intensive process ...

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 ...

Code generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate code for complex problems in a single attempt remains a significant challenge. Even ...

Large language models (LLMs) are integral to solving complex problems across language processing, mathematics, and reasoning domains. Enhancements in computational techniques focus on enabling LLMs to ...

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 ...

Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, are extremely computationally ...

Creating engaging, high-quality content has never been easier, thanks to the rapid advancement and availability of AI-powered tools. These innovative platforms are revolutionizing the way creators and ...

Artificial intelligence (AI) is reshaping the way we approach everyday tasks, simplifying processes, and unlocking new levels of efficiency. AI tools enhance productivity and offer innovative ...

Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in artificial intelligence (AI).

The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated processes ...

Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI. With billions of parameters, these models offer groundbreaking ...