Tootfinder

Back-end Go developer looking for work? I know these people and it’s probably more interesting than average in terms of culture and focus: https://www.linkedin.com/jobs/view/3900979895/?refId=udF6d9zES0exWpvOY…

Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R
Amirreza Esmaeili, Iman Saberi, Fatemeh H. Fard
https://arxiv.org/abs/2405.01553

Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R
Recently, Large Langauge Models (LLMs) have gained a lot of attention in the Software Engineering (SE) community. LLMs or their variants pre-trained on code are used for many SE tasks. A main approach for adapting LLMs to the downstream task is to fine-tune the models. However, with having billions-parameters-LLMs, fine-tuning the models is not practical. An alternative approach is using Parameter Efficient Fine Tuning (PEFT), in which the model parameters are frozen and only a few added parame…

AMReX and pyAMReX: Looking Beyond ECP
Andrew Myers, Weiqun Zhang, Ann Almgren, Thierry Antoun, John Bell, Axel Huebl, Alexander Sinn
https://arxiv.org/abs/2403.12179

AMReX and pyAMReX: Looking Beyond ECP
AMReX is a software framework for the development of block-structured mesh applications with adaptive mesh refinement (AMR). AMReX was initially developed and supported by the AMReX Co-Design Center as part of the U.S. DOE Exascale Computing Project, and is continuing to grow post-ECP. In addition to adding new functionality and performance improvements to the core AMReX framework, we have also developed a Python binding, pyAMReX, that provides a bridge between AMReX-based application codes and…

Cowboys WR CeeDee Lamb Not In Attendance At OTAs https://www.yardbarker.com/nfl/articles/cowboys_wr_ceedee_lamb_not_in_attendance_at_otas/s1_17039_40238969

Cowboys WR CeeDee Lamb Not In Attendance At OTAs
Adam Schefter reports that Cowboys WR CeeDee Lamb is not expected to attend the team’s voluntary offseason program today as he awaits a new contract. Michael Gehlken reports that Lamb was not in attendance for a team meeting this morning and is not expected to report to the facility anytime soon. Lamb, 25, was a three-year starter at Oklahoma and was a consensus All-American before the Cowboys selected him with the No. 17 pick in 2020.  Lamb signed a four-year, $14,010,012 rookie contract th…

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation
Wentao Liu, Bowen Liang, Weijin Xu, Tong Tian, Qingsheng Lu, Xipeng Pan, Haoyuan Li, Siyu Tian, Huihua Yang, Ruisheng Su
https://arxiv.org/abs/2403.05753

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation
The rigid registration of aortic Digital Subtraction Angiography (DSA) and Computed Tomography Angiography (CTA) can provide 3D anatomical details of the vasculature for the interventional surgical treatment of conditions such as aortic dissection and aortic aneurysms, holding significant value for clinical research. However, the current methods for 2D/3D image registration are dependent on manual annotations or synthetic data, as well as the extraction of landmarks, which is not suitable for c…

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation
Wentao Liu, Bowen Liang, Weijin Xu, Tong Tian, Qingsheng Lu, Xipeng Pan, Haoyuan Li, Siyu Tian, Huihua Yang, Ruisheng Su
https://arxiv.org/abs/2403.05753

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation
The rigid registration of aortic Digital Subtraction Angiography (DSA) and Computed Tomography Angiography (CTA) can provide 3D anatomical details of the vasculature for the interventional surgical treatment of conditions such as aortic dissection and aortic aneurysms, holding significant value for clinical research. However, the current methods for 2D/3D image registration are dependent on manual annotations or synthetic data, as well as the extraction of landmarks, which is not suitable for c…