Scaling applications with distributed execution has become the norm. With the rise of big data and machine learning, more and more developers must build applications that involve complex and data-intensive distributed processing.
"Extreme edge computing" is an emerging computing paradigm targeting application domains like medical wearables, disaster-monitoring tiny satellites, or smart infrastructure.
At UCLA we developed one of the only novel technologies for COVID-19 diagnostic testing that was deployed on a large scale. The assay, which we named SwabSeq, performs genomic seq
Computing is on the brink of a new immersive era. Recent innovations in virtual/augmented/mixed reality (extended reality or XR) show the potential for a new immersive modality of computing that will transform most human activities and change how we design, program, and use computers.
In a couple of years, "study items" for the 6G security standard will be set. Security issues not included in these study items are unlikely to be standardized and patched even in 6G.
Despite the incredible capabilities (speed, repeatability) of our hardware, most robot manipulators today are deliberately programmed to avoid dynamics – moving slow enough so they can adhere to quasi-static assumptions about the world.
Recently, large language models have been trained on intelligent languages including natural languages, such as English, and programming languages, such as Python. We will examine several interesting applications of these models.
The trend of building ever larger language models has dominated much research in NLP over the last few years. In this talk, I will discuss our recent efforts to (at least partially) answer two key questions in this area: Will we be able to keep scaling?
Three billion years of evolution have produced a tremendous diversity of protein molecules, but it is yet unknown how thoroughly evolution has sampled the space of possible protein folds and functions.
Constructing the Tree of Life (i.e., a species tree containing all of the extant species) is a Scientific Grand Challenge that is surprisingly difficult from a computational and statistical perspective.