Essentially you can design an rna molecular that contains a 20 nucleotide long sequence that can target your region of interest, with the caveat that there is a standard recognition sequence proximal to your sequence of interest (PAM sequence)
Essentially you can design an rna molecular that contains a 20 nucleotide long sequence that can target your region of interest, with the caveat that there is a standard recognition sequence proximal to your sequence of interest (PAM sequence)
Bonus points if you allow me to zap as efficiently as I was able to back when we had analog TVs and cable. I was the master zapper, zapping through hundreds of channels in seconds. Just buffer the adjacent channels and calculate the maximum input latency.
From reading the article it seems to me that the answer is no. The actual contribution is feeding the organoid electric signals, and reading its reactions. (Probably the machine learning algorithm used would have had even better accuracy, if the input signal hadn't been fed through a layer of goo. It doesn't say whether this is the case.) The rest is speculation of future applications.
> To test Brainoware’s capabilities, the team used the technique to do voice recognition by training the system on 240 recordings of eight people speaking. The organoid generated a different pattern of neural activity in response to each voice. The AI learned to interpret these responses to identify the speaker, with an accuracy of 78%.
It "generated a different pattern," with no indication that this pattern was optimized to be useful in any way.
I think the key part of a (bio-)"computer" is the possibility of programming/training it, not just reading input from it.
> until it finds the exact DNA letter that needs to be changed.
This pine is disingenuous (at best). There is no way of guaranteeing where the DNA is inserted. It is designed to only slot into a very specific portion of the DNA but they don't have a way to control that precisely, the accuracy is high but "exact DNA letter" is skipping over a few pretty important details.
To be clear I'm not saying it is ineffective or unsafe, only that the claim made is marketing speak and not actually true.