Benjamin Lee, a second-year Ph.D. student in the Allen School's Artificial Intelligence group working with professor Daniel Weld, has been named a 2020 Innovator in Residence by the Library of Congress. Now in its second year, the Innovator in Residence program aims to enlist artists, researchers, journalists, and others in developing new and creative ways of using the library's digital collections. During his residency, Lee will apply deep learning to enable the automatic extraction and tagging of photographs and illustrations contained in the more than 15 million newspaper scans comprising the library's Chronicling America collection. His goal is to produce interactive visualizations, searchable by topic, that will make the content more accessible to users and support cultural heritage research. "A primary motivation behind my project is to excite the American public by demonstrating the possibilities of applying machine learning to library collections," Lee explained in an interview posted on the library's blog.

In challenges, little "video lessons" are laid down on contextually appropriate parts of the neuron. These videos help to teach about neurons and help in reconstruction. This helps players identify and follow those often elusive neurites and teaches about them simultaneously. Player contribution does indeed lead to acknowledgement in publications! In fact, most recently, the Allen Institute for Brain Science acknowledged Mozak players in their Nature publication.

Welcome to the Newspaper Navigator dataset! This dataset consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. The dataset also includes text corresponding to the visual content, identified by extracting the Optical Character Recognition, or OCR, within each predicted bounding box. For example, if the visual content recognition model predicted a bounding box around a headline, the corresponding textual content provides a machine-readable version of the headline; likewise, for a photograph, illustration, or map, this textual representation often contains the title and caption.

My Husky Experience has enabled me to break the glass ceiling instead of fitting into a glass slipper. Over the years, my experiences with being a leader in the UW Society of Women Engineers (SWE), the Foundation for International Understanding Through Students (FIUTS), Residence Education Programmers (REP), working as a teaching assistant for iSchool classes, researching Women Affinity Groups in the tech industry and social robots in high schools have helped me grow from a naive freshman into a confident data scientist, teacher and researcher with a passion to use my experiences to serve society by uplifting those around me.

The College of Engineering Awards acknowledge the extraordinary efforts of the college's teaching and research assistants, staff, and faculty members. The College of Engineering Awards ceremony scheduled for April 20 has been canceled. Since joining UW in 2014, Cole DeForest has established himself as an innovative researcher, an effective teacher and a collaborative colleague, holding appointments in Chemical Engineering, Bioengineering, and the Institute for Stem Cell & Regenerative Medicine. His research focuses on the development of (de)polymerization reactions that can be triggered using light in the presence of cells, and "represents a major advancement in cell culture niches that allow unprecedented control of the cellular microenvironment, and is enabling him to conduct newfound experiments that were previously impossible." Cole has received numerous honors, including an NSF Career Award, a Young Investigator Award through the American Chemical Society, and a UW Presidential Distinguished Teaching Award.

Jungo Kasai, a Ph.D. student working with Allen School professor Noah Smith on natural language processing (NLP), has been named a 2020 IBM Ph.D. Fellow. Kasai, who is one of only 24 students from a total of 140 universities around the world to be selected for a fellowship, was recognized in the "Artificial Intelligence/Cognitive Computing" category for his focus on the problem of cross-lingual transfer. Deep learning has made incredible gains for NLP, but most of the research efforts have been focused on the English language. Real-world applications of NLP need to include a diverse set of languages. Kasai's work questions whether or not we can exploit annotated data for "rich" languages like English to improve the accuracy of NLP components for other languages as well.

Artificial-intelligence researcher Oren Etzioni has suggestions for keeping enough AI faculty members around to train the next generation.Credit: Bret Hartman/TED Oren Etzioni is chief executive of the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington, and is on leave from the nearby University of Washington. He offers some recommendations for how to stem the outflow of artificial-intelligence (AI) researchers from academia to industry -- a loss that is damaging academia's ability to teach incoming undergraduates. It is a very sizeable trend for fresh PhD graduates and faculty members. In machine learning, you see some significant departures. Industry compensation packages are highly variable.

Artificial intelligence is one of the Seattle area's fastest-growing tech frontiers, so it only makes sense for the field to get its own category at the GeekWire Awards. Recognizing innovations in AI and its allied technologies, ranging from computer vision to machine learning and natural language processing, has always been a part of the big part of the awards, of course. In fact, some of 2019's contenders for the top AI prize have shown up as finalists in previous years. The split shines a tighter spotlight on two areas of technology where the Pacific Northwest stands out. The five finalists in this new category -- Highspot, Mighty AI, Olis Robotics, Textio and Xnor -- have already made names for themselves.