This was a great read, thank you! It's also very timely, as I've been preparing a course on the computational methods of protein folding as part of a curriculum on AI in public health research....
This was a great read, thank you! It's also very timely, as I've been preparing a course on the computational methods of protein folding as part of a curriculum on AI in public health research.
The article does a great job of highlighting how improvements in deep learning can improve outcomes through computationally directed bench science. It also hits on the limitations of the current tools, such as factoring in the environmental constraints on a proteins shape.
I do wish people as a whole could strike a better balance by embracing new technologies as decisions aids, not autonomous decision systems. The article talks about folks that were hesitant to embrace the technology, and those who rushed to replace scientists with it, neither which is particularly desirable.
This was a great read, thank you! It's also very timely, as I've been preparing a course on the computational methods of protein folding as part of a curriculum on AI in public health research.
The article does a great job of highlighting how improvements in deep learning can improve outcomes through computationally directed bench science. It also hits on the limitations of the current tools, such as factoring in the environmental constraints on a proteins shape.
I do wish people as a whole could strike a better balance by embracing new technologies as decisions aids, not autonomous decision systems. The article talks about folks that were hesitant to embrace the technology, and those who rushed to replace scientists with it, neither which is particularly desirable.