ESE & CIS Seminar: “Toward Power-Efficient Computing with Applied Inference”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: We require computers that extract value from exponential data growth even as exponential transistor scaling falters. With limited scaling, power and thermal density threaten performance. Architects must pursue power […]

ESE Seminar: “Large-Scale Quantum Photonic Processors”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Photons play a central role in many areas of quantum information science, either as qubit themselves or to mediate interactions between long-lived matter based qubits. Techniques for (1) high-fidelity […]

CIS Seminar: Rethinking Operating System and Hardware Abstractions for Good and Evil

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: Current hardware and operating system abstractions were conceived at a time when we had minimal security threats, scarce compute and memory resources, and limited numbers of users. These assumptions […]

ESE Seminar: “Nanophotonics: A High Bandwidth Optical Neural Interface”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Light is a powerful tool for interrogating and manipulating biological systems, enabling targeted stimulation, sensing, and imaging. Optical methods such as optogenetics have transformed the study of neural circuits […]

ESE Seminar: “Engineering Quantum Processors in Silicon”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Across the globe, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures, […]

CIS Seminar: “Risk-Aware Machine Learning at Scale”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: In recent years, machine learning has seen rapid advances with increasingly large scale and complex data modalities, including processing images, natural language and more. As a result, applications of […]