After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions-but there is always room for improvement.

AI technologies are crucial for space exploration, enabling autonomous navigation, predictive maintenance, and advanced data ...

A team of San Antonio-based biomedical researchers trained a machine learning algorithm to identify more than two dozen ...

In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 million genome editing enzymes. The work could help reduce off ...

This work introduces a simple yet novel machine learning-based estimator to overcome this challenge ... In the ideal scenario without SDSN, the proposed algorithm remains slightly more efficient and ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.

# for instance_index, instance in enumerate(data): ...