Quantum computers reduce data analysis by a factor of up to a million

New methods for processing large classical datasets represent a rapid advance in quantum computing. Google Quantum AI’s Haimeng Zhao and colleagues have demonstrated that relatively small quantum computers can classify and reduce dimensionality of large amounts of classical data much more efficiently than classical machines. Machine learning on classical data is now an important area […]

Continue Reading

Machine learning as a transformative tool for (exo)planetary science

Exoplanet detection limits from a neural network framework for the HARPS-N solar spectrum. Left: Detection limit map in the period-amplitude domain. Red dots indicate successful detection by the trained NN with false alarm probability (FAP) > 0.1%. Center: Amplitude comparison of the injection and recovery signals in the period-amplitude domain. Most reconstructed signals have amplitude […]

Continue Reading

A state-of-the-art ensemble learning framework

In recent years, the field of plant biology has been revolutionized by the advent of single-cell RNA sequencing (scRNA-seq) technology, allowing unprecedented resolution in the study of gene expression at the individual cell level. This innovative approach has enabled researchers to deeply probe cellular heterogeneity and unravel the complex dynamics of plant cell differentiation, tissue […]

Continue Reading

Ioannis Pasharidis of Boston University will be inducted as a 2026 AIMBE College of Fellow.

image: Boston University’s Yanis Pasharidis has been elected to the prestigious AIMBE College of Fellows, which recognizes the top 2 percent of medical and biological engineers who are transforming health care and medicine. view more Credit: Boston University / Rafik B. Hariri Institute for Computation and Computational Science & Engineering The American Institute of Medical […]

Continue Reading

AI that actually saves lives

Blog article *This article originally appeared on Healthbeat* Dr. Dave A. Choksi, keynote speaker at the New Wave of AI in Healthcare hosted by the New York Academy of Sciences, shares his thoughts on the potential of artificial intelligence to improve health. Published April 13, 2026 Dave A. Choksi, MD Dr. Dave A. Chokshi Artificial […]

Continue Reading

PhytoCell: An ensemble learning framework for identifying cell states in plant scRNA-seq data

image: Figure 1 – Workflow of the proposed PhytoCell framework view more Credit: Qiang He The rapid development of single-cell RNA-sequencing (scRNA-seq) has enabled researchers to examine gene activity in individual plant cells with unprecedented resolution, opening new opportunities to study cell differentiation, tissue development, and stress responses. However, scRNA-seq datasets compile data from thousands […]

Continue Reading

The arrival of the AI ​​revolution in mathematics

As they mentioned in their January 3, 2026 preprint, AlphaEvolve discovered that the Bruhat intervals of these particular permutation groups have a surprisingly special structure. When researchers studied the spacing, they found that they formed a high-dimensional cube called a hypercube. “I was very surprised to see what AlphaEvolve was thinking,” Libedinsky said. “If it […]

Continue Reading