ESE Spring Colloquium – “The One Learning Algorithm Hypothesis– Towards Universal Machine Learning Models and Architectures”
We revisit the “One Learning Algorithm Hypothesis” of Andrew Ng (Google Brain) according to which the brain of higher-level animals and of humans processes and perceives sensory data (vision, sound, […]
Joseph Bordogna Forum: “Engineering for Everyone: Centering Diversity, Equity, and Inclusion”
Please join us for this distinguished lecture given by Dr. Gilda Barabino, President of Olin College of Engineering. “Engineering for Everyone: Centering Diversity, Equity, and Inclusion” At its core, engineering […]
ESE Ph.D. Thesis Defense: “Statistical Learning for System Identification, Prediction, and Control”
Despite the recent widespread success of machine learning, we still do not fully understand its fundamental limitations. Going forward, it is crucial to better understand learning complexity, especially in critical […]
ESE Fall Colloquium – “Harnessing Piezoelectricity in Novel Microsystems for Classical and Quantum Information Processing”
Piezoelectricity is the intrinsic coupling between electric fields and strains in materials. While piezoelectric sensors, actuators, and RF filters are ubiquitous and important components of existing microsystems, their potential is […]
ESE Fall Colloquium – “Processing in Memory: Past, Present, and Future”
Applications are increasingly data-intensive and bound by the performance of the memory and/or storage system. This “memory wall” arises from several factors: the volume of data is increasing exponentially, outstripping […]
ESE Fall Colloquium Seminar – “Alpha-loss: A Tunable Class of Loss Functions for Robust Learning”
Machine learning has dramatically enhanced the role of automated decision making across a variety of domains. There are three ingredients that are at the heart of designing of sound ML […]
ESE Fall Colloquium Seminar – “Data Compression: From Classical to Modern”
Lossy data compression is a vital, if hidden, enabling technology. This virtual seminar would be impossible without data compression! Existing compression standards for images and audio rely on a “classical” […]
ESE Fall Colloquium Seminar – “Bits and Brains: Ultra-low Power, Neuro-inspired Edge-AI for Autonomous Systems”
As we march towards the age of “ubiquitous intelligence”, we note that AI and Machine learning are progressively moving from the Cloud to the Edge devices. The success of Edge-AI […]
ESE Ph.D. Thesis Defense: “Computer-aided Clinical Trials for Medical Devices”
Life-critical medical devices require robust safety and efficacy to treat patient populations with potentially large inter-patient and intra-patient variability. Today, the de facto standard for evaluating medical devices is the […]
ESE Fall Colloquium Seminar – “New Materials for Three Dimensional Ferroelectric Microelectronics”
In the last decade, there have been major changes in the families of ferroelectric materials available for integration with CMOS electronics. These new materials, including Hf1-xZrxO2, Al1-xScxN, Al1-xBxN and Zn1-xMgxO, […]