
Argonne Laboratories has said that AI is fast acting as a catalyst for key processes in scientific discovery and has thus turned the tables. The computer which houses the world’s largest chip is part of a new generation of specialized AI hardware that is being put to use only now. A hardware revolution is just around the corner, they believe.
Rick Stevens, Argonne’s associate lab director for computing, environment, and life sciences said that he and his team are looking for AI chips that work 1,000 times faster than graphical processing unit (GPU).
Argonne was initially testing the computer on cancer-based research. They are trying to study and develop a model that can predict how a tumour is going to react to a drug or combination of drugs. The model can then be used in two ways - to develop new drug candidates that could have desired effects on a specific tumour, or to predict the effects of a single drug candidate on many different types of tumours.
Stevens is expecting dramatic results from the Cerebras' system (AI computer) to speed up the development of the cancer drug model, along with possibly training the model hundreds of thousands of times and running it billions more times to predict how each candidate reacts to drugs.
The results, Stevens believes will also help in boosting the lab’s research on other topics, such as battery materials and traumatic brain injury. For battery-related research, the study would involve developing an AI model for predicting the properties of millions of molecular combinations to find alternatives to using lithium-ion chemistry. For traumatic brain injury, they will work on developing a model to predict the best treatment options for the same. It is a hard task because it requires processing so many types of data - brain images, biomarkers, text etc., very speedily.
Stevens is excited by the potential that the combination of AI software and hardware advancements will bring mankind to a new stand.
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