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Joseph Bordogna Forum with Dr. Gilda Barabino

Please save the date for this distinguished lecture given by Dr. Gilda Barabino, President of Olin College of Engineering. The Joseph Bordogna Forum will foster conversation and debate regarding important issues at the nexus of technology and society. It will feature lectures and panel discussions on a wide range of contemporary issues that are central […]

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, haptics) with the same abstract algorithmic architecture. We develop models, based on our earlier work on automatic target recognition with radar and other sensors, face […]

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 decision making applications, where a wrong decision can lead to catastrophic consequences. In this thesis, we focus on the statistical complexity of learning unknown linear […]

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 still largely underutilized in many application spaces. In this talk, I will discuss the physics, engineering, and applications of two novel classes of piezoelectrically enabled […]

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 cache capacities; many applications extensively use streaming data with little or no temporal reuse; as algorithms become more sophisticated, access patterns are often unfriendly to […]

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” theory of compression that models sources as stationary Gaussian processes. This theory is quite mature, and it provides remarkable insights into how to compress Gaussian […]

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 algorithms: data, learning architectures, and loss functions. In this talk, we focus on loss functions and the role of information theory in understanding the choice […]

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 is pivoted on innovative circuits and hardware that can enable inference and limited learning, in hardware-constrained ultra-low-power (uW to mW) systems – an area of […]

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, offer the possibility of new functionalities. This talk will discuss the possibility of exploiting the 3rd dimension in microelectronics for functions beyond interconnects, enabling 3D […]

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 randomized clinical trial. However, even after years of device development many clinical trials fail. For example, in the Rhythm ID Goes Head to Head Trial […]

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