50 Posts
Materials that have specific properties are essential to progress in critical technologies like solar cells and batteries. A machine learning model designs new materials to order.
Materials that have specific properties are essential to progress in critical technologies like solar cells and batteries. A machine learning model designs new materials to order.
The latest update of DeepMind’s AlphaFold model is designed to find the structures of not just proteins but all biologically active molecules as well as interactions between them.
The latest update of DeepMind’s AlphaFold model is designed to find the structures of not just proteins but all biologically active molecules as well as interactions between them.
A robot outperformed human chemists at synthesizing chemicals. Researchers at University of Amsterdam built RoboChem, an integrated robotic system that learned to design light-activated chemical reactions while achieving optimal yields and throughput.
A robot outperformed human chemists at synthesizing chemicals. Researchers at University of Amsterdam built RoboChem, an integrated robotic system that learned to design light-activated chemical reactions while achieving optimal yields and throughput.
A growing number of AI models can be put to purposes their designers didn’t envision. Does that include heinous deeds?
A growing number of AI models can be put to purposes their designers didn’t envision. Does that include heinous deeds?
Nvidia, known for chips designed to process AI systems, is providing access to large language models. Nvidia announced early access to NeMo LLM and BioNeMo, cloud-computing services that enable developers to generate text and biological sequences respectively.
Nvidia, known for chips designed to process AI systems, is providing access to large language models. Nvidia announced early access to NeMo LLM and BioNeMo, cloud-computing services that enable developers to generate text and biological sequences respectively.
The authors trained a modified GNN on a dataset of 18 million molecules to find molecular properties.
The authors trained a modified GNN on a dataset of 18 million molecules to find molecular properties.
Pharmaceutical companies in several countries are hiring machine learning engineers at increasing rates.
Pharmaceutical companies in several countries are hiring machine learning engineers at increasing rates.
Convolutional neural networks separate proteins into functional families without considering their shapes.
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