diff --git a/taxonomy.qmd b/taxonomy.qmd
index 88fa0a9..86b8509 100644
--- a/taxonomy.qmd
+++ b/taxonomy.qmd
@@ -1183,8 +1183,7 @@ crucial discoveries. We will include those references throughout the
 book and we will just paint here, with a few coarse strokes, the main
 directions in the field.
 
-In 1963, at MIT, Larry Roberts became the first computer vision Ph. D.
-entitled @Roberts63. 
+In 1963, at MIT, Larry Roberts became the first computer vision Ph. D., with a thesis on @Roberts63. 
 
 :::{.column-margin}
 Larry Roberts did his Ph.D.
@@ -1331,7 +1330,7 @@ It wasn't until the 1980s that interest in learning algorithms, and
 neural nets in particular, began to surge again. The reason was because
 researchers showed that perceptrons could be stacked to create systems
 capable of complex operations, including logic. These systems were the
-precursors to the **deep learning** systems that are dominate today. In
+precursors to the **deep learning** systems that are dominant today. In
 this decade, several architectures specific to vision were also
 introduced, including Kunihiko Fukushima's , which was a precursor to
 modern convolutional neural networks @fukushima1980neocognitron. In
@@ -1353,7 +1352,7 @@ distributed processing in artificial networks.
 
 
 
-Unfortunately, however, at that time we did not have the compute and
+Unfortunately, however, at that time we did not have the computers and
 data necessary to make these systems really work, and interest waned
 during the 1990s. By the year 2000, the field of AI as a whole was
 firmly in a "winter"; the promises of the 1980s had failed to