IBM RoboRXN: AI based chemistry lab


IBM has established RoboRXN which is an AI based chemistry lab. This advanced chemistry lab runs on following combined technologies:
- Al models i.e. machine learning algorithms autonomously designing (AI)
- Cloud computing platform i.e. production of molecules in a laboratory remotely accessible (Cloud) 
- Robotics to help scientists design and synthesize new drug molecules by working remotely. 
Thus, Its main objective is to assist scientists for development of new drug molecules or new useful chemical materials in a faster, expected cost effective, commercially viable and more efficient way than the current tedious and expensive trial and error process.
According to IBM, the development of a new drugs in the modern age, a company spends on average $10 million for a drug development which takes on average 10 years to bring to market. So by doing the process automation using a combination of artificial intelligence and cloud-based access, IBM has expanded IBM RXN for Chemistry that predicts the outcome of chemical reactions to RoboRXN. RoboRXN allows chemists to feed a designed molecule in the system and shortly thereafter the system provides a step-by-step instructions on how to make that molecule along with a list of required raw materials and catalyst by working remotely.  This new system will allow scientists to synthesize new materials in unprecedented ways.
credit: third party image reference
RoboRXN: Advantages and Disadvantages
A scientist is working at home and wants to test a new multiple
- He logs on to RoboRXN through a web browser
- On a screen they can draw the molecular structure they have in mind
- The platform now uses its machine language training to predict the ingredients required
- It also sequences their mixing
- The platform thereupon sends the entire instructions for execution to a remote, automated lab
- After the experiment, the platform sends a report to the scientist
- No guarantee for cost-effective molecule
- Limited to just five synthetic steps.
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