diff --git a/_config.yml b/_config.yml
index 648913f..fccc5b8 100644
--- a/_config.yml
+++ b/_config.yml
@@ -19,7 +19,7 @@ icon: 🎓 # 🧥 # 🚀 #🚲 # 🌐 #👤 # 🧑🏼‍💻 # 🧔 # 🛰️ #
 
 url: https://florent.guiotte.fr # the base hostname & protocol for your site
 baseurl:  # the subpath of your site, e.g. /blog/
-last_updated: true # set to true if you want to display last updated in the footer
+last_updated: false # set to true if you want to display last updated in the footer
 impressum_path:  # set to path to include impressum link in the footer, use the same path as permalink in a page, helps to conform with EU GDPR
 
 # -----------------------------------------------------------------------------
diff --git a/_pages/about.md b/_pages/about.md
index e1f8e0e..801152f 100644
--- a/_pages/about.md
+++ b/_pages/about.md
@@ -31,9 +31,7 @@ segmentation** on a very a fine scale! Earlier, I did my [Ph.D.
 thesis][thesis] in [LETG Rennes][letg], [IRISA's OBELIX team][obelix]
 and [Tellus Environment][tellus]. The topic was to propose new and
 efficient ways of processing **3D point clouds** from **LiDAR data**,
-using **morphological hierarchies** and deep learning.
-
-I am currently looking for new adventures!
+using **morphological hierarchies** and **machine learning**.
 
 
 
diff --git a/_projects/renders.md b/_projects/renders.md
index 70313bc..1f89c44 100644
--- a/_projects/renders.md
+++ b/_projects/renders.md
@@ -95,10 +95,10 @@ renderer.
 Here you can see a voxelization of the previous point cloud. The colors
 represent the LiDAR intensity, using the same color map ranging from
 purple for low LiDAR intensities, to yellow for high intensities. The
-colors are shaded with a virtual sun by using a realist ray-tracing and
-a logarithmic exposure sensitivity. The colors appear a little washed
-out, as they would be on a real camera under similar lighting
-conditions.
+colors are shaded with a virtual sun by using a physically based
+ray-tracing renderer and a logarithmic exposure sensitivity. The colors
+appear a little washed out, as they would be on a real camera under
+similar lighting conditions.
 
 Nothing really provide support to open voxels in Blender. So I write
 this Python script to open voxel files from my [Idefix Python
@@ -145,7 +145,7 @@ def gen_voxels(coords, colors):
                 + vertices_base).reshape(-1, 3)
     faces = (faces_base[None].repeat(vxl_count, axis=0) 
              + (np.arange(vxl_count) 
-             * 8)[None].repeat(6, axis=0).T[...,None]).reshape(-1, 4)
+                * 8)[None].repeat(6, axis=0).T[...,None]).reshape(-1, 4)
     colors = colors.repeat(6)
 
     new_mesh = bpy.data.meshes.new('vxl_mesh')