Browsing: AI & Robotics

In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this…

The growing reliance on AI models for edge and mobile devices has underscored significant challenges. Balancing computational efficiency, model size,…

Back in the old days — the really old days — the task of designing materials was laborious. Investigators, over…

In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks,…

Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and…

Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to…

One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds:…

Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models…

Whether you’re describing the sound of your faulty car engine or meowing like your neighbor’s cat, imitating sounds with your…

Large language models (LLMs) have revolutionized natural language processing, enabling applications that range from automated writing to complex decision-making aids.…