MIT AI learns molecular language for rapid materials development and drug discovery

MIT-Watson AI Labs’ new AI system dramatically simplifies drug and material discovery by accurately predicting molecular properties with minimal data. The system takes advantage of a molecular grammar learned through reinforcement learning to efficiently generate new molecules. This method has demonstrated remarkable effectiveness even with datasets of less than 100 samples. This AI system needs … Read more

Optoelectronics Nanotechnology breakthrough: MIT develops precise arrays of nanoLEDs

A new platform from MIT allows researchers to grow halide perovskite nanocrystals with precise control over the position and size of each individual crystal, by integrating them into nanoscale light-emitting diodes. Pictured is a rendering of a nanocrystal array emitting light. Credit: Courtesy of Sampson Wilcox, RLE A new technique produces perovskite nanocrystals right where … Read more

MIT researchers have developed BioAutoMATED: an automated machine learning system that can select and build an appropriate model for a given data set

https://www.cell.com/cell-systems/pdf/S2405-4712(23)00151-5.pdf The task of building machine learning models can be challenging, particularly for researchers with no background in machine learning. However, a team of MIT researchers has developed an innovative solution called BioAutoMATED. This automated machine learning system simplifies the model selection process and data preprocessing, significantly reducing the time and effort required. The researchers … Read more