Update readme (verificarlo#49)

* Update README
* Update changelog

Author: yohanchatelain

CHANGELOG

@@ -1,3 +1,19 @@
+# [v2.0.0] 2024/05/21
+
+## Changed
+    * Change verificarlo version [v0.9.1 -> v2.0.0]
+    * Update numpy version from 1.22.0 to 1.22.4
+    * Update sklearn version from 1.0.2 to 1.3.2
+    * Update build_fuzzy_libmath_dockerfile.sh 
+
+# [v0.9.1] 2023/03/23
+
+## Added
+    * Fast version for libmath, reusing +/- 1 trick from [Verrou](https://github.com/edf-hpc/verrou/blob/master/interflop_backends/interflop_verrou/vr_roundingOp.hxx)
+
+## Changed
+    * Change verificarlo version [v0.8.0 -> v0.9.1]
+
 # [v0.8.0] 2022/07/15
 
 ## Changed
@@ -20,6 +36,7 @@
 
 ## Deprecated
     * Version v0.5.0 must not be used on architecture not supporting AVX-512
+
 # [v0.5.0] 2021/06/18
 
 ## Changed

README.md

@@ -1,4 +1,4 @@
-# Fuzzy v0.9.1
+# Fuzzy v2.0.0
 
 [![DOI](https://zenodo.org/badge/218554957.svg)](https://zenodo.org/badge/latestdoi/218554957)
 [![Build Fuzzy Environments](https://github.com/verificarlo/fuzzy/actions/workflows/build-fuzzy.yml/badge.svg?branch=master)](https://github.com/verificarlo/fuzzy/actions/workflows/build-fuzzy.yml)
@@ -248,6 +248,18 @@ and applications can be built atop them:
 > Sohier, Devan, et al. "Confidence Intervals for Stochastic Arithmetic." ACM Transactions on Mathematical Software (TOMS) 47.2 (2021): 1-33.
 >
 > Kiar, Gregory, et al. "Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics." bioRxiv (2020).
+>
+> Chatelain, Yohan, et al. "PyTracer: Automatically profiling numerical instabilities in Python." IEEE Transactions on Computers (2022).
+>
+> Des Ligneris, Morgane, et al. "Reproducibility of tumor segmentation outcomes with a deep learning model." 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023.
+> 
+> Pepe, Inés Gonzalez, et al. "Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis." International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. Cham: Springer Nature Switzerland, 2023.
+>
+> Chatelain, Yohan, et al. "A numerical variability approach to results stability tests and its application to neuroimaging." arXiv preprint arXiv:2307.01373 (2023).
+> 
+> Vila, Gaël, et al. "The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging." (2024).
+>
+> Gonzalez Pepe, Inés, et al. "Numerical stability of DeepGOPlus inference." Plos one 19.1 (2024): e0296725.
 
 ## License
 The *Fuzzy* copyright belongs to all contributors of this repository, and it is