Browsing: AI & Robotics

Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily…

People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However,…

Language models (LMs) are widely utilized across domains like mathematics, coding, and reasoning to handle complex tasks. These models rely…

At the top of many automation wish lists is a particularly time-consuming task: chores. The moonshot of many roboticists is cooking…

One of the most pressing challenges in the evaluation of Vision-Language Models (VLMs) is related to not having comprehensive benchmarks…

Dimitris Bertsimas PhD ’88 has been appointed vice provost for open learning at MIT, effective Sept. 1. In this role,…

Parameter-efficient fine-tuning (PEFT) methods, like low-rank adaptation (LoRA), allow large pre-trained foundation models to be adapted to downstream tasks using…

The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed…

The problem that this research seeks to address lies in the inherent limitations of existing large language models (LLMs) when…

Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data…