diff --git a/doc/HandWrittenNotes/2022/NotesNov242022.pdf b/doc/HandWrittenNotes/2022/NotesNov242022.pdf new file mode 100644 index 000000000..dac2df3de Binary files /dev/null and b/doc/HandWrittenNotes/2022/NotesNov242022.pdf differ diff --git a/doc/pub/week47/html/._week47-bs000.html b/doc/pub/week47/html/._week47-bs000.html index 6bd878513..759e7c5ea 100644 --- a/doc/pub/week47/html/._week47-bs000.html +++ b/doc/pub/week47/html/._week47-bs000.html @@ -252,6 +252,10 @@ doconce format html week47.do.txt --html_style=bootstrap --pygments_html_style=d 2, None, 'explainable-machine-learning'), + ('Scientific Machine Learning', + 2, + None, + 'scientific-machine-learning'), ('Quantum machine learning', 2, None, 'quantum-machine-learning'), ('Quantum machine learning algorithms based on linear algebra', 2, @@ -264,6 +268,11 @@ doconce format html week47.do.txt --html_style=bootstrap --pygments_html_style=d ('Quantum deep learning', 2, None, 'quantum-deep-learning'), ('Social machine learning', 2, None, 'social-machine-learning'), ('The last words?', 2, None, 'the-last-words'), + ('AI/ML and some statements you may have heard (and what do they ' + 'mean?)', + 2, + None, + 'ai-ml-and-some-statements-you-may-have-heard-and-what-do-they-mean'), ('Best wishes to you all and thanks so much for your heroic ' 'efforts this semester', 2, @@ -393,13 +402,15 @@ MathJax.Hub.Config({
An important and emerging field is what has been dubbed as scientific ML, see the article by Deiana et al Applications and Techniques for Fast Machine Learning in Science, arXiv:2110.13041
+ ++
The authors discuss applications and techniques for fast machine +learning (ML) in science – the concept of integrating power ML +methods into the real-time experimental data processing loop to +accelerate scientific discovery. The report covers three main areas +
+ ++
If you wish to have a critical read on AI/ML from a societal point of view, see Kate Crawford's recent text Atlas of AI
+ +Here: with AI/ML we intend a collection of machine learning methods with an emphasis on statistical learning and data analysis +An important and emerging field is what has been dubbed as scientific ML, see the article by Deiana et al Applications and Techniques for Fast Machine Learning in Science, arXiv:2110.13041
+ ++
The authors discuss applications and techniques for fast machine +learning (ML) in science – the concept of integrating power ML +methods into the real-time experimental data processing loop to +accelerate scientific discovery. The report covers three main areas +
+ +If you wish to have a critical read on AI/ML from a societal point of view, see Kate Crawford's recent text Atlas of AI
+ +Here: with AI/ML we intend a collection of machine learning methods with an emphasis on statistical learning and data analysis +An important and emerging field is what has been dubbed as scientific ML, see the article by Deiana et al Applications and Techniques for Fast Machine Learning in Science, arXiv:2110.13041
+ ++
The authors discuss applications and techniques for fast machine +learning (ML) in science – the concept of integrating power ML +methods into the real-time experimental data processing loop to +accelerate scientific discovery. The report covers three main areas +
+ +If you wish to have a critical read on AI/ML from a societal point of view, see Kate Crawford's recent text Atlas of AI
+ +Here: with AI/ML we intend a collection of machine learning methods with an emphasis on statistical learning and data analysis +