Rt-1: Robotics transformer for real-world control at scale
…, J Singh, S Sontakke, A Stone, C Tan, H Tran… - arXiv preprint arXiv …, 2022 - arxiv.org
By transferring knowledge from large, diverse, task-agnostic datasets, modern machine
learning models can solve specific downstream tasks either zero-shot or with small task-specific …
learning models can solve specific downstream tasks either zero-shot or with small task-specific …
The global burden of women's cancers: a grand challenge in global health
Every year, more than 2 million women worldwide are diagnosed with breast or cervical
cancer, yet where a woman lives, her socioeconomic status, and agency largely determines …
cancer, yet where a woman lives, her socioeconomic status, and agency largely determines …
Rt-2: Vision-language-action models transfer web knowledge to robotic control
We study how vision-language models trained on Internet-scale data can be incorporated
directly into end-to-end robotic control to boost generalization and enable emergent semantic …
directly into end-to-end robotic control to boost generalization and enable emergent semantic …
[HTML][HTML] Rt-2: Vision-language-action models transfer web knowledge to robotic control
…, Q Vuong, V Vanhoucke, H Tran… - … on Robot Learning, 2023 - proceedings.mlr.press
We study how vision-language models trained on Internet-scale data can be incorporated
directly into end-to-end robotic control to boost generalization and enable emergent semantic …
directly into end-to-end robotic control to boost generalization and enable emergent semantic …
EGFR, p16, HPV Titer, Bcl-xL and p53, sex, and smoking as indicators of response to therapy and survival in oropharyngeal cancer
Purpose To prospectively identify markers of response to therapy and outcome in an organ-sparing
trial for advanced oropharyngeal cancer. Patients and Methods Pretreatment …
trial for advanced oropharyngeal cancer. Patients and Methods Pretreatment …
Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions
…, SA Sontakke, G Salazar, HT Tran… - … on Robot Learning, 2023 - proceedings.mlr.press
In this work, we present a scalable reinforcement learning method for training multi-task
policies from large offline datasets that can leverage both human demonstrations and …
policies from large offline datasets that can leverage both human demonstrations and …
Is digitalization a driver to enhance environmental performance? An empirical investigation of European countries
TTL Huong, TT Thanh - Sustainable Production and Consumption, 2022 - Elsevier
This article is the first to analyze empirically the impact of digitalization on environmental
performance, using a database of 25 European countries over the period 2015–2020. We use …
performance, using a database of 25 European countries over the period 2015–2020. We use …
Mechanism of IAPP amyloid fibril formation involves an intermediate with a transient β-sheet
…, EB Dunkelberger, HQ Tran… - Proceedings of the …, 2013 - National Acad Sciences
Amyloid formation is implicated in more than 20 human diseases, yet the mechanism by which
fibrils form is not well understood. We use 2D infrared spectroscopy and isotope labeling …
fibrils form is not well understood. We use 2D infrared spectroscopy and isotope labeling …
Neuropathologic basis of white matter hyperintensity accumulation with advanced age
…, J Kaye, N Mattek, HH Dodge, S Green, H Tran… - Neurology, 2013 - AAN Enterprises
Objective: To determine which vascular pathology measure most strongly correlates with
white matter hyperintensity (WMH) accumulation over time, and whether Alzheimer disease (AD…
white matter hyperintensity (WMH) accumulation over time, and whether Alzheimer disease (AD…
The combination of donor and recipient age is critical in determining host immunoresponsiveness and renal transplant outcome
SG Tullius, H Tran, I Guleria, SK Malek… - Annals of …, 2010 - journals.lww.com
Objective: To evaluate the interaction of donor and recipient age on transplant outcome and
immune response. Summary Background Data: The age of donor and recipient is becoming …
immune response. Summary Background Data: The age of donor and recipient is becoming …