Being considered as the most significant application of Artificial Intelligence, its ability to accurately predict the 3-dimensional structures of proteins is being lauded across the world. In other news, Artificial intelligence is making translation simpler for businesses and taking it beyond the simple translation solutions provided by Google and other companies.
A protein is made from a ribbon of amino acids that folds itself up with many complex twists and turns and tangles. This structure determines what it does. And figuring out what proteins do is key to understanding the basic mechanisms of life, when it works and when it doesn’t. Efforts to develop vaccines for covid-19 have focused on the virus’s spike protein, for example.
The latest version of DeepMind’s AlphaFold, a deep-learning system that can accurately predict the structure of proteins to within the width of an atom, has cracked one of biology’s grand challenges.
Artificial intelligence (AI) for translation is something Google and other companies have provided for individuals. It can be accessed on your phone. However, translation is still a much larger and complex issue than many people realize. The business community has many complex and unique needs that add to the challenge of accurate and reliable translation, and AI is showing increasing capability.
The SYSTRAN system is using unsupervised learning. However, it uses a far more curated data set in order to train systems for each industry. The neural network is only a component of the logic of the system. Because of the specific terminology in many languages, procedural logic is used in pre and post-processing around the network to help with the clear rules and terminology of business sectors.
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