A new course design effectively integrates the fundamentals of traditional machine learning with the latest advancements in large language models to prepare students for the future of artificial intelligence.
A new system combines hyperspectral imaging with robotics to dramatically improve a robot’s ability to identify and sort materials, exceeding human performance in certain tasks.
Researchers have developed a tour guide robot that combines spoken explanations with coordinated gestures to draw visitors’ attention and create a more engaging museum experience.
Researchers have created a dynamic benchmark, PRiSM, to push the boundaries of artificial intelligence in scientific problem-solving, moving beyond static datasets and simple question answering.
A new perspective argues that collaborative AI research, where AI assists rather than replaces human scientists, offers a more viable and secure path towards advanced intelligence.
Researchers are using poetic prompts to reveal the underlying biases and creative constraints of large language models.
A new framework integrates extended reality with artificial intelligence to create more intuitive and capable human-robot interactions.
A new study reveals growing industry interest in using artificial intelligence to accelerate and enhance the testing of large-scale cyber-physical systems through simulation.
A new approach leverages diverse visual data and contrastive learning to help robots generalize their skills to unseen environments and conditions.
A new formal proof suggests that Artificial General Intelligence, defined by genuine creative capability, is fundamentally beyond the reach of algorithms.