Google AI's Deepmind unveiled new data for open use to slow the spread of coronavirus.

Interesting Engineering, By Chris Young


© Vertigo3d / iStock | Google's Deepmind Released AI Predictions to Curb COVID-19 Outbreak

To provide sorely-needed, actionable information on COVID-19, Google's AI unit — called Deepmind — has released predictions found with a deep learning system that sheds light on how the deadly coronavirus' protein structure develops.

Predicting the future of COVID-19

The growing threat of the novel coronavirus has pushed the tone of reports surrounding COVID-19 to a fever pitch, with misguided advice growing more abundant every day. This confusion, compounded by a lack of actionable information about the virus, has forced the public to respond with grim expectations, leading to global shortages of critical medical supplies.
Recent reports that the virus has mutated into two distinct strains revealed the coronavirus to be just as chaotic, especially since this means the push for containment will be more difficult.
But in difficult times, humans have often found solutions in technology, which is why scientists are turning to one of the most advanced tech: AI.
Deepmind's AI system is pre-trained for several medical applications, like detecting neck cancer or developing models to identify eye disease in a flash. The UK-based and Google-owned research company's deep learning system also predicts 3D structures of proteins.
But with more than 3,000 people killed by the virus as of early March, scientists at Google AI's Deepmind have trained the system for a new trick: mapping the structure of the novel coronavirus.

Deepmind's findings could cut months from the time it takes to understand the coronavirus' protein structure.
"Knowing a protein's structure provides an important resource for understanding how it functions, but experiments to determine the structure can take months or longer, and some prove to be intractable," said blog post announcing the work.
This article was originally published by Interesting Engineering. 
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