Category: News

Karen Leung, University of Washington (UW) Aeronautics & Astronautics assistant professor and director of the Control and Trustworthy Robotics Laboratory, has been appointed Director of the UW+ Amazon Science Hub. She succeeds founding Director Josh Smith, Electrical & Computer Engineering and the Allen School of Computer Science professor, who launched the Hub to accelerate advances in artificial intelligence (AI), robotics, and engineering in the Seattle area.

The Amazon Research Awards has announced the spring 2025 call for proposals in several research areas. The deadline for submissions is April 30, 2025. UW Faculty, please review UW guidance below for how to proceed at application and award stages.

Amazon Fellowships were awarded to three UW Engineering doctoral students. Faculty Research Awards support five new research projects that include seven UW faculty, with each project receiving up to $100,000 in support from Amazon.

July 8, 2024 | Originally published by Amazon Science Today, Amazon is announcing the Amazon Trusted AI Challenge, a global university competition to drive secure innovation in generative AI technology. This year’s challenge focuses on responsible AI and specifically on large language model (LLM) coding security. “We are focusing on advancing the capabilities of coding LLMs, exploring new techniques to automatically identify possible vulnerabilities and effectively secure these models,” said Rohit Prasad, senior vice president and head scientist, Amazon AGI. “The goal…

The Middle Mile Products and Technology team at Amazon is hosting an open call for proposals at the UW + Amazon Science Hub. The Middle Mile Products and Technology (MMPT)’s goal is to develop and operate the world’s largest and most efficient transportation and delivery network (services or products). To do this, MMPT supports research aimed at the development and implementation of mathematical optimization, Generative AI and machine learning algorithms, applications and strategic initiatives focused on the logistics and delivery…

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. We work with data providers to: · Democratize access to data by making it available to the public for analysis on AWS · Develop new cloud-based techniques, formats, and tools that lower the cost of working with data · Encourage the development of communities that benefit from access to shared datasets Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for…

Please see below information regarding an the Conference on Computer Vision and Pattern Recognition being held in Seattle this year! CVPR 2024 Workshop: RetailVision June 18th, 2024. Seattle, Washington Workshop Website: https://retailvisionworkshop.github.io/ Challenge Website: https://grocery-vision.github.io/cvpr2024.html Greetings CV/ML researchers! We are excited to announce the release of two unique data challenge tracks (ABV and TAL/STAL) in our upcoming full-day workshop entitled RetailVision on June 18th at CVPR 2024. RetailVision aims to bring together scientists working in the physical retail industries with academic…

See below for a flyer for various open opportunities to intern at Amazon this summer! Opportunities are designed for PhD and Master’s students.

The Amazon Research Awards has announced the winter 2024 call for proposals for Foundation Model Development. Proposals related to theory, practice, and novel new techniques are welcome, and will be reviewed for the quality of their scientific content, creativity, and potential for impact at scale. The deadline for submissions is 11:59 p.m. Pacific time on March 6, 2024. (Please note that this call for proposals is distinct from UW + Amazon Science Hub activities.)

Through work supported via the UW + Amazon Science Hub, a research collaboration housed in UW’s Allen School of Computer Science & Engineering, associate professor Maya Cakmak is researching a generation of robots that can be trained to not only grasp and handle heavy products but also turn to humans for help when needed.