EurekAlert! News by Subject: Mathematics - News by Subject: Mathematics

Mathematics

Updates every hour. Last Updated: 10-Sep-2025 02:11 ET (10-Sep-2025 06:11 GMT/UTC)

A smart accelerator for qubits

University of Basel
Peer-Reviewed Publication

Researchers at the University of Basel have made a quantum bit faster and more robust at the same time. In the future, this could help in the development of quantum computers.

Journal: Nature Communications

Students’ image tool offers sharper signs, earlier detection in the lab or from space

University of British Columbia Okanagan campus
Peer-Reviewed Publication

A group of UBC Okanagan students has helped create technology that could improve how doctors and scientists detect everything from tumours to wildfires.

Working under the guidance of Associate Professor Xiaoping Shi from UBCO’s Department of Computer Science, Mathematics, Physics and Statistics, the students designed and tested a system called an adaptive multiple change point energy-based model segmentation (MEBS).

IJCAI 2025 – Artificial Intelligence for a Better World - Since 1969

International Joint Conferences on Artificial Intelligence
Meeting Announcement

Media Invitation – IJCAI 2025, Montréal, Canada
Artificial Intelligence for a Better World – Since 1969

The 34th International Joint Conference on Artificial Intelligence (IJCAI) takes place August 16–22, 2025 in Montréal, Canada, bringing together over 2,000 AI researchers, practitioners, and thought leaders. Guided by the theme “AI at the service of society”, IJCAI 2025 features world-class keynote speakers, award-winning researchers, thematic tracks on AI for Social Good, Human-Centred AI, and AI, Arts & Creativity, as well as admission free public events like the AI Lounge: Between Wonder and Caution.

Highlights include talks by Yoshua Bengio, Heng Ji, Luc De Raedt, Bernhard Schölkopf, and IJCAI 2025 awardees Aditya Grover, Rina Dechter, and Cynthia Rudin. The program also showcases AI-driven competitions, an AI Art Gallery, and discussions on ethics, creativity, and global impact.

Full program & details: https://2025.ijcai.org
Media contact: mrozman@ijcai.org

A Mount Sinai-Led team creates model for understanding how the brain’s decision-making is impacted in psychiatric disorders

The Mount Sinai Hospital / Mount Sinai School of Medicine
Peer-Reviewed Publication

Scientists from the Icahn School of Medicine at Mount Sinai, working in collaboration with a team from the University of Texas at El Paso, have developed a novel computational framework for understanding how a region of the brain known as the striatum is involved in the everyday decisions we make and, importantly, how it might factor into impaired decision-making by individuals with psychiatric disorders like post-traumatic stress disorder and substance use disorder.

Journal: Nature Communications

Helicobacter pylori eradication may raise risk of reflux esophagitis, meta-analysis warns

First Hospital of Jilin University
Peer-Reviewed Publication

A new systematic review and meta-analysis published in eGastroenterology reveals that eradication of Helicobacter pylori (H. pylori) may increase the risk of reflux oesophagitis (RE) occurrence or recurrence. By analyzing data from 30 prospective cohort studies and randomized controlled trials, the study found a significantly higher RE risk in patients receiving H. pylori eradication therapy, especially with longer follow-up periods. Although geographic region, age, and baseline disease modified the effect, the trend was generally consistent. Clinicians are advised to consider individual patient profiles before initiating eradication therapy. These findings challenge existing assumptions about the uniformly beneficial role of H. pylori eradication.

Journal: eGastroenterology

Ensemble AI unlocks hidden tree crown structures in dense forests

Nanjing Agricultural University The Academy of Science
Peer-Reviewed Publication

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning to predict maximum crown width height (HMCW) in Chinese fir with unprecedented accuracy.

Journal: Plant Phenomics

New few-shot learning model enhances crop disease recognition accuracy

Nanjing Agricultural University The Academy of Science
Peer-Reviewed Publication

A research team has developed PlantCaFo, an advanced few-shot plant disease recognition model powered by foundation models, capable of achieving high accuracy with only a handful of training images.

Journal: Plant Phenomics

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