a couple of missing figures, more on what to have in the intro

talks/2024_UNSW_CSE_Alex.html

@@ -41,7 +41,7 @@ <h5>
 
 
 <section>
-	<h3>Disclaimers</h3>
+	<h3>Disclaimers, about myself, RNAfold.AI</h3>
 </section>
 
 
@@ -104,7 +104,7 @@ <h4>Problem #2: Scalability</h4>
 </section>
 
 <section>
-	<h3>Problem #3 (unsolved!):</h3>
+	<h3>Problem #3:</h3>
 	<h3>Model assumptions</h3>
 	$
 	  f(x_1,\, \ldots,\, x_p) = \beta_0 + \sum_{i} x_i \beta_i
@@ -123,7 +123,7 @@ <h3>Model assumptions</h3>
 
 <section>
 	<h3>SNVformer</h3>
-	<img data-src="../assets/snvformer_predictions.svg"><br>
+	<img data-src="/assets/snvformer_predictions.svg"><br>
 	<font size="3">
 	  <a href="https://icml-compbio.github.io/2022/papers/WCBICML2022_paper_58.pdf">
 		Kieran Elmes et al. SNVformer: an attention-based deep neural network for GWAS data
@@ -133,7 +133,7 @@ <h3>SNVformer</h3>
 
 <section>
 	<h4>"eQTL" simulations (work in progress)</h4>
-	<img data-src="../assets/eqtl_simulation.svg">
+	<img data-src="/assets/eqtl_simulation.svg">
 	<font size="3">
 	  <ul>
 		<li >Multi-Layer Perceptron [ AI ]