EurekAlert! News by Subject: Mathematics

Mathematics

Updates every hour. Last Updated: 17-Jun-2026 05:15 ET (17-Jun-2026 09:15 GMT/UTC)

21-Jan-2026

Spotting skin cancer sooner with the help of artificial intelligence

University of Missouri-Columbia
Peer-Reviewed Publication

What if the earliest signs of skin cancer could be identified sooner — before a dermatology appointment?

Researchers at the University of Missouri are exploring how artificial intelligence could help detect melanoma — the most dangerous form of skin cancer — by evaluating images of suspicious skin abnormalities.

Journal: Biosensors and Bioelectronics X

21-Jan-2026

Quantum error correction with logical qubits

Fraunhofer Institute for Applied Solid State Physics
Grant and Award Announcement

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the calculations of quantum computers in order to achieve reliable results. In the snaQCs2025 project, neQxt GmbH, Fraunhofer IAF and Point 8 GmbH are working on the coordinated development of quantum error correction methods and quantum algorithms. The project aims at significantly advancing the practical applicability of quantum computers. The project kick-off took place in Cologne on January 14, 2026. The BMFTR is funding snaQCs with €2.5 million over three years.

Funder: German Federal Ministry of Research, Technology and Space BMFTR

21-Jan-2026

Heart disease, stroke deaths down, yet still kill more in US than any other cause

American Heart Association
Peer-Reviewed Publication

According to the American Heart Association’s 2026 Heart Disease and Stroke Statistics Update, heart disease remains the leading cause of death in the U.S. and stroke has moved up to the #4 spot. Together, heart disease and stroke accounted for more than a quarter of all deaths in the U.S. in 2023, the most recent year for which data is available.

Journal: Circulation

21-Jan-2026

Interpretability in deep learning for finance: A case study for the Heston model

KeAi Communications Co., Ltd.
Peer-Reviewed Publication

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global interpretability tools based on Shapley values can meaningfully explain how neural networks work, outperforming local explanation methods and helping identify better-performing network architectures.

Journal: Risk Sciences

20-Jan-2026

Using artificial intelligence to understand how emotions are formed

Nara Institute of Science and Technology
Peer-Reviewed Publication

Researchers at the Nara Institute of Science and Technology and Osaka University have developed a computational model of how human emotions are formed. This system integrates body signals, sensory input, and language, forming emotional concepts that match the self-reported human emotional judgment with 75% accuracy. The findings highlight new ways of building emotionally aware artificial intelligence, with potential applications in mental health care, interactive robots, and assistive technologies.

Journal: IEEE Transactions on Affective Computing
Funder: Japan Society for the Promotion of Science, Japan Science and Technology Agency

20-Jan-2026

It started with a cat: How 100 years of quantum weirdness powers today’s tech

Texas A&M University
Peer-Reviewed Publication

Physics pioneer Dr. Marlan Scully explores how century-old ideas are now lasers, quantum computers and detectors that can find ripples in spacetime.

Journal: Science

20-Jan-2026

Biomedical and life science articles by female researchers spend longer under review

PLOS
Peer-Reviewed Publication

Women are underrepresented in academia, especially in STEMM fields, at top institutions, and in senior positions. This study analyzes millions of biomedical and life science articles, revealing that female-authored articles spend longer under review than comparable male-authored articles, across most fields.

Journal: PLOS Biology

19-Jan-2026

A resource-virtualized and hardware-aware quantum compilation framework for real quantum computing processors

Research
Peer-Reviewed Publication

The research team has innovatively developed the QSteed quantum compilation framework, which introduces quantum resource virtualization and a select-before-compile mechanism at the system level.

Journal: Research
Funder: Beijing Natural Science Foundation, National Natural Science Foundation of China, Innovation Program for Quantum Science and Technology, National Natural Science Foundation of China