Machine learning

Predicting biological structures more accurately using machine learning

Scratching the surface in terms of scientific progress to be made.

Optimizing particle accelerator performance

Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.

Improving stroke recovery prediction using machine learning

A predictive method based on two powerful, cutting-edge tools.

Classifying tens of thousands of galaxies in just a few seconds

A task that usually takes months to accomplish.

Predicting stock-market crashes using topological data analysis

A model that can predict when a system is about to undergo a major shift.

Measuring pulse with smartphone

New method uses device cameras to measure pulse, breathing rate and could help telehealth.

Deep learning can guide doctors decide better lung cancer treatments

An approach to estimate survivability that is commonly and practically appropriate for medical use.

Determining protein structures using Machine Learning

New technique reveals many possible conformations that a protein may take.

Liquid machine-learning: a type of neural network that learns on the job

The new type of neural network could aid decision making in autonomous driving and medical diagnosis.

Optimizing machine-learning process using light-based processors

A chip-based “frequency comb”, as a light source.

An optical convolutional neural network accelerator for machine learning

Developing smarter, faster machine intelligence with light.

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