Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Introducing the Frontier Safety Framework
Our approach to analyzing and mitigating future risks posed by advanced AI models
Implementing Advanced Vision Systems for Safer Robotics
Robots could revolutionize workplace safety. For that to happen, though, the organizations employing this technology must equip it with tools to help it recognize and respond to hazards. That means capitalizing on machine vision.
Robot Talk Episode 85 – Margarita Chli
Claire chatted to Margarita Chli from the University of Cyprus all about vision, navigation, and small aerial drones.
Margarita Chli is a professor of Robotic Vision and the director of the Vision for Robotics Lab, at the University of Cyprus and ETH Zurich. Her work has contributed to the first vision-based autonomous flight of a small drone and the first demonstration of collaborative monocular SLAM for a small swarm of drones. Margarita has given invited keynotes at the World Economic Forum in Davos, TEDx, and ICRA, and she was featured in Robohub’s 2016 list of “25 women in Robotics you need to know about”. In 2023, she won the ERC Consolidator Grant to research advanced robotic perception.
Large language models can’t effectively recognize users’ motivation, but can support behavior change for those ready to act
Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.
Researchers wrestle with accuracy of AI technology used to create new drug candidates
Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.
To optimize guide-dog robots, first listen to the visually impaired
What features does a robotic guide dog need? Ask the blind, say the authors of a recent paper. Led by researchers at the University of Massachusetts Amherst, a study identifying how to develop robot guide dogs with insights from guide dog users and trainers won a Best Paper Award at CHI 2024: Conference on Human Factors in Computing Systems (CHI).
Scientists develop a soft robot that mimics a spider’s leg
Researchers Indrek Must and Kadri-Ann Valdur of the Institute of Technology of the University of Tartu have created a robot leg modeled after the leg of a cucumber spider. The soft robot created in cooperation with the Italian Institute of Technology could, in the future, move where humans cannot.
Building a better sarcasm detector
Sarcasm is notoriously tricky to convey through text, and the subtle changes in tone that convey sarcasm often confuse computer algorithms as well, limiting virtual assistants and content analysis tools. So researchers have now developed a multimodal algorithm for improved sarcasm detection that examines multiple aspects of audio recordings for increased accuracy. They used two complementary approaches -- sentiment analysis using text and emotion recognition using audio -- for a more complete picture.
To optimize guide-dog robots, first listen to the visually impaired
What features does a robotic guide dog need? Ask the blind, say researchers. A new study identifies how to develop robot guide dogs with insights from guide dog users and trainers.