It is well known that momentum gradient methods (e.g., Polyak’s heavy ball, Nesterov’s acceleration) yield significant improvements over vanilla gradient descent in deterministic optimization (i.e., where we have access to exact gradient of the function…
Robots can act as a force multiplier for people, whether a robot assisting an astronaut with a repair on the International Space station, a UAV taking flight over our cities, or an autonomous vehicle driving…
Introduction Speech technology has come a long way since Alexander Graham Bell’s famous Mr. Watson – Come here – I want to see you became the first speech to be heard over the telephone in…
A key challenge in scaling network control and data planes is to maintain access to shared state without comprimising performance. In this talk, I present Tasvir, a versioned distributed shared memory system, that achieves this…
The PNW PLSE workshop provides an opportunity for programming languages and software engineering researchers throughout the Pacific Northwest to meet, interact, and share work in progress as well as recent results. The meeting on May…
Understanding how to model vision and language jointly is a long-standing challenge in artificial intelligence. Vision is one of the primary sensors we use to perceive the world, while language is our data structure to…
As a Department of Energy lab, computer science research at Pacific Northwest National Lab (PNNL) is closely tied to or motivated by the needs of scientific applications. In this talk, I will present a brief…
Continual learning is the problem faced by intelligent agents of the sort that people and other animals are, that of learning increasingly complex skills and knowledge over time from experience, of becoming increasingly competent over…
