By combining behavioral and wireless eye tracking and neural monitoring, a team of Rice scientists and collaborators studied how pairs of freely moving macaques interacting in a naturalistic setting use visual cues to guide complex, cooperative behavior.
Rice’s Santiago Segarra has won an NSF CAREER Award for his research on leveraging the structural properties of real-world data in order to boost AI effectiveness and utility.
Houston Methodist and Rice recently launched the Center for Neural Systems Restoration, a joint interdisciplinary center for neuroscience research and treatment innovation that aims to advance care for neurological conditions by bringing together scientists, clinicians, engineers and surgeons to tackle medical challenges like stroke recovery and spinal cord injury.
With the potential to transform the future of global wireless networks, Rice University engineers are developing a cutting-edge testing framework to assess the stability, interoperability, energy efficiency and communication performance of software-based machine learning-enabled 5G radio access networks (RANs).
Rice’s Ashok Veeraraghavan has been awarded the Edith and Peter O’Donnell Award in Engineering from the Texas Academy of Medicine, Engineering, Science and Technology (TAMEST), one of the state’s highest academic honors.
A new study from Rice’s RAMBO laboratory and collaborators suggests the magnetism of phonons, collective atomic vibrations, is enhanced by electronic pathways.
Rice scientists in the lab of Junichiro Kono have developed two new methods to create ordered carbon nanotube films with either a left- or right-handed chiral pattern.
Spurred by the first Digital Health Workshop held at Rice in August, 10 clinician-engineering teams have been selected as PATHS-UP Seed Fund award winners for projects that explore promising new directions for advancing digital health solutions with several Rice faculty members among awardees.
Rice’s Santiago Segarra and Ashutosh Sabharwal have won a grant from the DEVCOM Army Research Laboratory to develop a machine learning framework that improves military communication networks’ decision-making processes. The research could also help inform applications such as self-driving vehicles and cyber intrusion detection.
Rice hosted the Texas Colloquium on Distributed Learning, a two-day summit of talks on distributed computing and large-scale machine learning held at the new Ralph S. O’Connor Building for Engineering and Science.
Rice neuroengineers designed the first self-rectifying magnetoelectric material and showed it can not only precisely stimulate neurons remotely but also reconnect a broken sciatic nerve in a rat model.
An interdisciplinary team of Rice University scientists has won a $1.9 million National Science Foundation grant for research on materials that could serve as the basis for next-generation energy-efficient computing devices.
Rice University today announced its external advisory board for the Rice Biotech Launch Pad, the new accelerator focused on expediting the translation of the university’s health and medical technology discoveries into cures.
Rice computer scientists have won two grants from the National Science Foundation to explore new information processing technologies and applications that combine co-designed hardware and software to allow for more effective and efficient data stream analysis using pattern matching.
Rice University today introduced the Rice Biotech Launch Pad, a Houston-based accelerator focused on expediting the translation of the university’s health and medical technology discoveries into cures.