Customer-obsessed science
Research areas
-
August 21, 20269 min readExtendable framework enables testing agents on the full set of capabilities required to successfully complete a procedure, not isolated proxy tasks. -
July 30, 20268 min read -
-
July 9, 202610 min read
-
Featured news
The Build on Trainium program is a $110 million credit initiative supporting AI research at 30 universities including Stanford, UC Berkeley, UIUC, UCLA, CMU, and MIT, with a focus on Responsible AI.
The Antibody Developability Benchmark is powered by one of the most diverse antibody datasets in public literature, enabling transparent performance evaluation for AI-guided antibody design.
Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale.
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
-
Interspeech 20192019Acoustic Event Detection (AED), aiming at detecting categories of events based on audio signals, has found application in many intelligent systems. Recently deep neural network significantly advances this field and reduces detection errors to a large scale. However how to efficiently execute deep models in AED has received much less attention. Meanwhile state-of-the-art AED models are based on large deep
-
CVPR 2019 Robotic Vision Probabilistic Object Detection Challenge2019Vision is an integral part of many robotic systems, and especially so when a robot must interact with its environment. In such cases, decisions made based on erroneous visual detections can have disastrous consequences. Hence, being able to accurately measure the uncertainty associated with visual information is highly important for making informed decisions. However, this uncertainty is often not captured
-
Interspeech 20192019We present a hybrid approach for scaling distributed training of neural networks by combining Gradient Threshold Com-pression (GTC) algorithm - a variant of stochastic gradient de-scent (SGD) - which compresses gradients with thresholding and quantization techniques and Blockwise Model Update Filtering(BMUF) algorithm - a variant of model averaging (MA). In this proposed method we divide total number of
-
ICCV 2019 Workshop on Computer Vision for Fashion, Art and Design2019The emergence of online influencers, the explosion of video content, and the massive amount of movie collections have served as an advertising vehicle for the fashion industry. This trend has created the need for automated methods that recognize people’s outfit in such image and video collections. However, existing computer vision solutions for fashion recognition require an enormous amount of labeled data
-
MMSP 20192019With the massive growth of Internet video streaming, it is critical to accurately measure video quality subjectively and objectively, especially HD and UHD video which is bandwidth-intensive. We summarize the creation of a database of 200 clips, with 20 unique sources tested across a variety of devices. By classifying the test videos into 2 distinct quality regions SD and HD, we show that the high correlation
Collaborations
View allWhether you're a faculty member or student, there are number of ways you can engage with Amazon.
View all
Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
We partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest.
Courtesy of Pai-Ling Yin
We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.
