diff --git a/README.md b/README.md
index e43f34c..2ecb983 100644
--- a/README.md
+++ b/README.md
@@ -32,15 +32,15 @@ DINCAE is intended to be used with a [GPU](https://en.wikipedia.org/wiki/Graphic
 ## Installation
 
 You need [Julia](https://julialang.org/downloads) (version 1.9 or later) to run `DINCAE`. The command line interface of Julia is sufficient for `DINCAE`.
-If you are using Linux (on a x86_64 CPU), installing and running Julia 1.9.3 is as easy as running these shell commands:
+If you are using Linux (on a x86_64 CPU), installing and running Julia is as easy as running these shell commands:
 
 ```bash
-curl https://julialang-s3.julialang.org/bin/linux/x64/1.9/julia-1.9.3-linux-x86_64.tar.gz | tar -xzf -
-julia-1.9.3/bin/julia
+curl https://julialang-s3.julialang.org/bin/linux/x64/1.10/julia-1.10.2-linux-x86_64.tar.gz | tar -xzf -
+julia-1.10.2/bin/julia
 ```
 
-This installs Julia in the current directory under the folder `julia-1.9.3`.
-For more information and other platforms, please see [platform specific instructions](https://julialang.org/downloads/platform/) for further installation instructions.
+This installs Julia in the current directory under the folder `julia-1.10.2`.
+For more information, other platforms and the current julia version, please see [platform specific instructions](https://julialang.org/downloads/platform/) for further installation instructions.
 You can check the latest available version of Julia at https://julialang.org/downloads but avoid beta releases and release candidates if you are new to Julia.
 
 Inside a Julia terminal, you can download and install `DINCAE` and `DINCAE_utils` by issuing these commands: