Soft Robot, Unplugged A new, human-scale soft robot can move untethered and navigate human environments. Read more about Soft Robot, Unplugged
Show Me the Methane Hyperspectral imaging and artificial intelligence combine to augment detection of methane leaks. Read more about Show Me the Methane
Leveraging Noise (as the Human Brain Does) for Better Neural Networks UCSB researchers create hardware that enables speedier solutions to optimization problems. Read more about Leveraging Noise (as the Human Brain Does) for Better Neural Networks
Next-Generation Filtering Membranes A highly collaborative center, involving researchers at UCSB, UC Berkeley, and Univeresity of Texas at Austin, aims to develop transformative polymer materials for energy-water applications. Read more about Next-Generation Filtering Membranes
Take the Entrain UCSB professors look closely at how to control the transfer of micro-particles when withdrawing objects from liquid baths. Read more about Take the Entrain
Saving Moore's Law Electrical and computer engineering researchers propose 3D integration with 2D materials. Read more about Saving Moore's Law
UCSB's Center for Responsible Machine Learning Announces Distinguished Lecture Series A leading scholar in machine learning will open the Center for Responsible Machine Learning's Distinguished Lecture Series on January 16. Read more about UCSB's Center for Responsible Machine Learning Announces Distinguished Lecture Series
International Excellence For the fifth year in a row, UCSB ranked first in scientific impact in engineering and physical sciences among public universities. Read more about International Excellence
Google, Working with UCSB Researchers, Claims Quantum Supremacy UC Santa Barbara/Google researchers demonstrate the power of 53 entangled qubits. Read more about Google, Working with UCSB Researchers, Claims Quantum Supremacy
Leading the Charge for Responsible Machine Learning During a summit at UCSB, AI researchers stressed the importance of creating an ethical and responsible foundation for machine learning. Read more about Leading the Charge for Responsible Machine Learning