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If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly. For instance, imagine asking a robot to clean your kitchen when it…

One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds: What are the chances of a medical procedure’s success? Is the patient at risk of developing severe symptoms? When should the patient return for more testing? Amidst these critical deliberations, the rise of artificial intelligence…

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someone with a chronic disease may be trained using a dataset that contains mostly male patients. That model might make incorrect predictions…

Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point that it is often impossible to distinguish between something written through generative AI and human-composed text. However, these models can also sometimes generate false statements or display a political bias….

Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should trust a model’s predictions. These explanations are often complex, however, perhaps containing information about hundreds of model features. And they are sometimes presented as multifaceted visualizations that can be difficult…

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory and MIT professor of electrical engineering and computer science, was recently named a co-recipient of the 2024 John Scott Award by the board of directors of City Trusts. This prestigious honor, steeped in historical significance, celebrates scientific innovation at the very location where American…

Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and efficient at providing answers, clarifying concepts, and distilling information. But to establish trustworthiness of content generated by such models, how can we really know if a particular statement is factual,…

Imagine a workplace where robots collaborate seamlessly with humans. That’s the future we’re heading towards, thanks to collaborative robots or cobots. Cobots are revolutionizing the workplace. The global collaborative robot market is growing rapidly. According to a recent report, it was valued at around USD 1.9 billion in 2024 and is growing at a 35.2%…

Dheeraj Pandey, CEO and co-founder of DevRev, is also the former CEO and founder of Nutanix and a current board member of Adobe. Along with co-founder Manoj Agarwal, Pandey launched DevRev to transform how developers (Dev) connect with revenue-generating customers (Rev). DevRev’s mission is to embed customer-centricity into the core of product development, turning it…

Artificial intelligence has transformed the way we live, powering tools and services we rely on daily. From chatbots to smart devices, most of this progress comes from digital AI. It is incredibly powerful, processing vast amounts of data to deliver impressive results. But this power comes with a significant cost: energy use. Digital AI demands…