>>12062953What ISN'T left to discover? We just randomly found CRISPR because someone was studying bacteria immune systems. Before that, we had just discovered the yamanaka factors and STEM cells.
1- we don't have an efficient or even "good" way to discover new drugs. Using machine learning can help with predictions, but our ability to go from predicted drug -> actual drug is abysmal. Lots of areas here, from "what features of drugs are important?" to "what predictions/processes can we implement to make it better?"
Quantum machine learning/Quantum computer is the future. Don't be one of those braindead meme people who read a popsci article that said "quantum computers can't do what normal computers can in some instances" and run around saying QUANTUM COMPUTERS ARE ACTUALLY NOT THAT GREAT I READ IT IN A POP SCI ARTICLE
we've barely scratched the surface. The logic gates are really different, and we have barely, BARELY scratched the surface of the different algorithms that can be built in quantum computing. The hardware is slow to catch up, but there is huge development underway for developing algorithms.
Classification and regression haven't really even been tackled yet; the biggest breakthrough is data-reuploading single qubit classifiers, and that was a NN analogy needed because we can't even store goddamn memory yet (not even qRAM).
I could go on about every little detail in cell biology and machine learning, but its too much to list.
