Results 291 to 300 of about 3,637,319 (313)

Defining Benchmark Outcomes for ALPPS.

Annals of Surgery, 2019
OBJECTIVE The aim of this study was to use the concept of benchmarking to establish robust and standardized outcome references after the procedure ALPPS (Associating Liver Partition and Portal Vein Ligation for Staged hepatectomy).
D. Raptis, M. Linecker, P. Kambakamba, C. Tschuor, P. Müller, C. Hadjittofi, G. Stavrou, M. Fard-Aghaie, M. Tun-Abraham, V. Ardiles, M. Malágo, R. R. Campos, K. Oldhafer, R. Hernandez‐Alejandro, E. de Santibañes, M. Machado, H. Petrowsky, P. Clavien   +17 more
semanticscholar   +1 more source

RASSP Benchmark 1 Technical Description. Revision 1.

1995
Abstract : This report describes the first in a series of application problems which are intended to measure the performance of a process for rapid prototyping of embedded digital signal processors. The rapid prototyping process is being developed for the ARPA/Tri-Services Rapid Prototyping of Application Specific Signal Processors (RASSP) program. The
G. A. Rocco, A. H. Anderson, R. A. Ford, J. C. Anderson, B. W. Zuerndorfer   +4 more
openaire   +1 more source

A Benchmarking-Based Model for Technical Debt Calculation

2014 14th International Conference on Quality Software, 2014
Technical debt has become a popular term in the software engineering community in recent years for labelling issues and development risks incurred either intentionally or unintentionally throughout the entire software development process. There are some approaches for calculating and/or managing the costs related with different kinds of technical debt.
Alois Mayr, Reinhold Plosch, Christian Korner   +2 more
openaire   +1 more source

ARC Prize 2024: Technical Report

arXiv.org
As of December 2024, the ARC-AGI benchmark is five years old and remains unbeaten. We believe it is currently the most important unsolved AI benchmark in the world because it seeks to measure generalization on novel tasks -- the essence of intelligence --
François Chollet, Mike Knoop, Gregory Kamradt, Bryan Landers   +3 more
semanticscholar   +1 more source

Stable LM 2 1.6B Technical Report

arXiv.org
We introduce StableLM 2 1.6B, the first in a new generation of our language model series. In this technical report, we present in detail the data and training procedure leading to the base and instruction-tuned versions of StableLM 2 1.6B.
Marco Bellagente, J. Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng-Lung Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparju, Paulo Rocha, Harry Saini, H. Teufel, Niccoló Zanichelli, Carlos Riquelme   +18 more
semanticscholar   +1 more source

ALGAESOL - D1.2 - Feedstock benchmark and technical specifications

ALGAESOL Deliverable D1.2, Feedstock benchmark and technical specifications, reports the outcomes of WP1-Task T1.2, which defined the overall features of the project solar and algal sustainable fuels pathways. This executive summary outlines the second deliverable of the ALGAESOL project (D1.2), which focuses on a feedstock benchmark and the definition
Puig, Sebastià, Bolognesi, Silvia, Kleinegris, Dorinde   +2 more
openaire   +1 more source

Stable Code Technical Report

arXiv.org
We introduce Stable Code, the first in our new-generation of code language models series, which serves as a general-purpose base code language model targeting code completion, reasoning, math, and other software engineering-based tasks.
Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, J. Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper   +10 more
semanticscholar   +1 more source

Linq-Embed-Mistral Technical Report

arXiv.org
This report explores the enhancement of text retrieval performance using advanced data refinement techniques. We develop Linq-Embed-Mistral\footnote{\url{https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral}} by building on the E5-mistral and ...
Chanyeol Choi, Junseong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn   +7 more
semanticscholar   +1 more source

Technical and Economic Benchmarking for Solar Cooling Plants

The goal of the IEA SHC Task 65 “Solar Cooling for the Sunbelt regions” is to focus on innovations for affordable, safe, and reliable Solar Cooling systems for the Sunbelt regions worldwide. Countries located between the 20th and 40th degree latitudes in the Northern and Southern Hemispheres, placed in the Sunbelt, face increasing cooling needs on the ...
Daniel Neyer, Manuel Ostheimer, Jan W. Bleyl, Richard Gurtner, Tobias Schmetzer, Lars Munkoe, Uli Jakob   +6 more
openaire   +1 more source

Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark

ACM SIGMOD Record
Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy studies. Extensive prior research has delved into various models for generating synthetic data, from traditional statistical approaches to cutting-edge deep-learning methods.
openaire   +1 more source