Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
An academia-industry collaboration developed a new sampling algorithm for Design of Experiment indenting to democratize experimental design.
A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
"The algorithm achieves precision values of up to 0.99, which means that 99% of the systems identified by the machine-learning model have at least one Earth-like planet." A machine-learning algorithm ...
Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses. The human body constantly generates a variety of signals that can be measured from the outside with ...