Colloquium

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 […]

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 […]

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 […]

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 […]

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 […]