diff --git a/.github/workflows/cache.yml b/.github/workflows/cache.yml
index 26ed9d211..21c2a3824 100644
--- a/.github/workflows/cache.yml
+++ b/.github/workflows/cache.yml
@@ -27,7 +27,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-c
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.3.1-anaconda-2024-02-py311
       options: --gpus all
     steps:
       - uses: actions/checkout@v3
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index eef986f1c..993bd5e5d 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -4,7 +4,7 @@ jobs:
   deploy-runner:
     runs-on: ubuntu-latest
     steps:
-      - uses: iterative/setup-cml@v1
+      - uses: iterative/setup-cml@v2
       - uses: actions/checkout@v3
         with:
           ref: ${{ github.event.pull_request.head.sha }}
@@ -24,7 +24,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-c
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.3.1-anaconda-2024-02-py311
       options: --gpus all
     steps:
       - uses: actions/checkout@v3
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 2a12516ed..62bce1c35 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -28,7 +28,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-c
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.3.1-anaconda-2024-02-py311
       options: --gpus all
     steps:
       - name: Checkout
diff --git a/environment.yml b/environment.yml
index 8571e5734..ef4c3bf36 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,7 +3,7 @@ channels:
   - default
 dependencies:
   - python=3.11
-  - anaconda=2023.09
+  - anaconda=2024.02
   - pip
   - pip:
     - jupyter-book==0.15.1
diff --git a/lectures/_static/quant-econ.bib b/lectures/_static/quant-econ.bib
index cdca6700c..de765731f 100644
--- a/lectures/_static/quant-econ.bib
+++ b/lectures/_static/quant-econ.bib
@@ -2522,3 +2522,11 @@ @article{stachurski2019impossibility
   year      = {2019},
   publisher = {Elsevier}
 }
+
+@book{Brunton_Kutz_2019, 
+  place     = {Cambridge}, 
+  title     = {Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control}, 
+  publisher = {Cambridge University Press}, 
+  author    = {Brunton, Steven L. and Kutz, J. Nathan}, 
+  year      = {2019}
+}
\ No newline at end of file
diff --git a/lectures/status.md b/lectures/status.md
index 8309f5100..3ada25f02 100644
--- a/lectures/status.md
+++ b/lectures/status.md
@@ -18,6 +18,17 @@ This table contains the latest execution statistics.
 
 (status:machine-details)=
 
-These lectures are built on `linux` instances through `github actions`  and `amazon web services (aws)` to
-enable access to a `gpu`. These lectures are built on a [p3.2xlarge](https://aws.amazon.com/ec2/instance-types/p3/)
-that has access to `8 vcpu's`, a `V100 NVIDIA Tesla GPU`, and `61 Gb` of memory.
\ No newline at end of file
+These lectures are built on `linux` instances through `github actions`. 
+
+These lectures are using the following python version
+
+```{code-cell} ipython
+!python --version
+```
+
+and the following package versions
+
+```{code-cell} ipython
+:tags: [hide-output]
+!conda list
+```
\ No newline at end of file
diff --git a/lectures/var_dmd.md b/lectures/var_dmd.md
index 8e24e06b7..8fa8d190f 100644
--- a/lectures/var_dmd.md
+++ b/lectures/var_dmd.md
@@ -271,6 +271,7 @@ Dynamic mode decomposition was introduced by {cite}`schmid2010`,
 
 You can read  about Dynamic Mode Decomposition {cite}`DMD_book` and {cite}`Brunton_Kutz_2019` (section 7.2).
 
+
 **Dynamic Mode Decomposition** (DMD) computes a rank $ r < p  $ approximation to the least squares regression coefficients $ \hat A $  described by formula {eq}`eq:AhatSVDformula`.