More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

A new method creates “fake” electron tomography images to train AI, reducing manual work and overcoming existing issues with ...

Mathematicians love the certainty of proofs. This is how they verify that their intuition matches observable truth.

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

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 ...

Still, he doubts AQR will ever be a pure machine-learning shop, since the firm still tries to incorporate its economic principles into these algorithms, rather than letting the latter go wild.

In a broader sense, many machine learning algorithms are like this party scene, with slight variations in how guests (datapoints) find their friends and arrange themselves at tables (clusters). In a ...

This multi-disciplinary PhD research project focuses on improving biodiversity risk assessment in agricultural landscapes by leveraging advanced AI and machine learning. Given the global urgency to ...

The resulting PAM machine learning algorithm (PAMmla) predicted the PAMs of some 64 million SpCas9 enzymes. It then identified efficacious and specific enzymes that outperformed existing evolution ...