diff --git a/src/components/HeroSection/index.js b/src/components/HeroSection/index.js
index d94e7ae..9abb9be 100755
--- a/src/components/HeroSection/index.js
+++ b/src/components/HeroSection/index.js
@@ -23,18 +23,28 @@ const HeroSection = () => {
RECENT NEWS:
- 03/12/24
- Book now available again.
+ 05/22/24
+ New blog about the applications of the neural tangent kernel.
- 02/21/24
- New blog about the Neural Tangent Kernel.
+ 05/10/24
+ Positive review in Nature Machine Intelligence.
+
+ {/*
+ 03/12/24
+ Book now available again.
+ */}
+
+ 02/21/24
+ New blog about the Neural Tangent Kernel.
+
+ {/*
02/15/24
First printing of book has sold out in most places. Second printing available mid-March.
-
+ */}
@@ -54,7 +64,7 @@ const HeroSection = () => {
12/06/23
- I did an interview discussing the book with Borealis AI.
+ Interview with Borealis AI.
@@ -79,7 +89,7 @@ const HeroSection = () => {
- Download full pdf (18 Apr 2024)
+ Download full pdf (27 May 2024)
Buy the book
Answers to selected questions
diff --git a/src/components/Media/index.js b/src/components/Media/index.js
index b4ef728..5bf49ae 100644
--- a/src/components/Media/index.js
+++ b/src/components/Media/index.js
@@ -64,6 +64,7 @@ const MediaSection = () => {
Reviews
+ - Nature Machine Intelligence review by Ge Wang
- Amazon reviews
- Goodreads reviews
- Book review by Vishal V.
diff --git a/src/components/More/index.js b/src/components/More/index.js
index 552e368..a67a8d9 100644
--- a/src/components/More/index.js
+++ b/src/components/More/index.js
@@ -285,19 +285,22 @@ const MoreSection = () => {
+
+ Temporal models
+
-
- SAT Solvers III
+ Temporal models
-
- Satisfiability vs. problem size
- - Factor graph representation
- - Max product / sum product for SAT
- - Survey propagation
- - SAT with non-binary variables
- - SMT solvers
+ - Kalman filter
+ - Smoothing
+ - Extended Kalman filter
+ - Unscented Kalman filter
+ - Particle filtering
+
Computer vision
@@ -400,28 +403,27 @@ const MoreSection = () => {
- Training dynamics
- Empirical NTK for shallow network
- Analytical NTK for shallow network
- - Empirical NTK for ddep network
+ - Empirical NTK for deep network
- Analtical NTK for deep network
+ -
+ NTK applications
+
+
+
- Trainability
+ - Convergence bounds
+ - Evolution of parameters
+ - Evolution of predictions
+ - NTK Gaussian processes
+ - NTK and generalizability
+
+
+
- Temporal models
-
- -
- Temporal models
-
-
-
- Kalman filter
- - Smoothing
- - Extended Kalman filter
- - Unscented Kalman filter
- - Particle filtering
-
-
-
-
+
Unsupervised learning