Maybe these are just projects they use to test and polish their AI chips? Not sure.
Frankly, it's a great idea. If you are a small pharma company, being able to do quick local inference removes lots of barriers and gatekeeping. You can even afford to do some Bayesian optimization or RL with lab feedback on some generated sequences.
In comparison, running AlphaFold requires significant resources. And IMHO, their usage of multiple alignments is a bit hacky, makes performance worse on proteins without close homologs, and requires tons of preprocessing.
A few years back, ESM from Meta already demonstrated that alignment-free approaches are possible and perform well. AlphaFold has no secret sauce, it's just a seq2seq problem, and many different approaches work well, including attention-free SSMs.
1: https://www.researchgate.net/publication/361238549_Consumer_...
Like 1980s SONY, they are the top of the line consumer electronics giant of the time. The iPhone is even more successful than the Walkman or Trinitron TVs.
They also sell the most popular laptops,to consumers as well as corporate. Like SONY’s VAIO but more popular again.
Can anyone recommend a good book or article about this?