Self-trained vision transformers mimic human gaze with surprising precision
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 6-Nov-2025 10:11 ET (6-Nov-2025 15:11 GMT/UTC)
Researchers from The University of Osaka have revealed that vision transformers can develop gaze patterns similar to humans, learning to prioritize faces without ever being taught what a face is. The findings suggest that self-supervised ViTs may serve as a practical tool in computer vision and a theoretical model for studying human visual processing. The research underscores the potential of biologically inspired AI systems to uncover the mechanisms of human cognition.
Antonio Bicchi has been selected as one of the recipients of the 2025 Pioneer in Robotics and Automation Award from the IEEE Robotics and Automation Society (RAS), the leading robotics association worldwide, for his “pioneering fundamental contributions to artificial hands, haptics, and human-robot collaboration, and for their applications in robotics and prosthetics.” The award ceremony took place on May 22nd during the 2025 International Conference on Robotics and Automation (ICRA) in Atlanta, USA. Antonio Bicchi is a Senior Researcher at the Istituto Italiano di Tecnologia (IIT - Italian Institute of Technology) and a Professor at the University of Pisa in Italy.
BALTIMORE, MD, May 24, 2025 – Most anti-human trafficking efforts focus on breaking up sex sales; however, new research in the INFORMS journal Manufacturing & Service Operations Management is turning its attention to where trafficking truly begins – recruitment. Using machine learning to analyze millions of online ads, researchers at the University of Pennsylvania have uncovered patterns that link deceptive job offers to sex trafficking networks. By mapping the connections between recruitment and sales locations, the study reveals a hidden supply chain – one that can now be exposed and interrupted earlier in the trafficking process.
The Allen Institute has opened its new Education Lab to help train and support the next generation of scientists and foster a culture of scientific curiosity and discovery. The 13-hundred-square-foot learning center will feature training programs, workshops, and learning opportunities for students in high school, university, along with current and aspiring scientists. Its programing combines cutting-edge, hands-on laboratory techniques with the Institute’s massive datasets and scientific resources.
Scientists from the University of Stuttgart and the Max Planck Institute for Intelligent Systems (MPI-IS) are leveraging digital technologies to make design and construction more future-proof and climate-positive. This research takes place within the interdisciplinary Cluster of Excellence IntCDC. As announced today by the German Research Foundation (DFG) and the German Science and Humanities Council, the federal and state governments will continue funding the cluster, including the participating institutions MPI-IS and Bauhaus Earth, for another seven years as part of the Excellence Strategy. The Cluster of Excellence “Integrative Computational Design and Construction for Transformative Architecture (IntCDC)” will enable the university to further strengthen its position as a leader in international cutting-edge research in architecture and civil engineering.
Triboelectric nanogenerator (TENG) is an emerging technology for mechanical energy harvesting and self-powered sensing, which offers significant potential in intelligent sports by reducing battery dependency. This paper reviews the recent advancements in TENG applications for intelligent sports, toward the future application of artificial intelligence for sports.
As part of ARPA-H's landmark ADAPT initiative, UC San Diego researchers will develop cutting-edge tools for precision oncology that act as "digital tumors," predicting treatment response and responding to changes in disease course.