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Tech & Engineering

Updates every hour. Last Updated: 16-Aug-2025 11:11 ET (16-Aug-2025 15:11 GMT/UTC)

Caught in a social media echo chamber? AI can help you out, new study shows

Binghamton University
Reports and Proceedings

Thanks to AI technologies, the spread of mass-produced contextually relevant articles and comment-laden social media posts has become so commonplace that it can appear as though it’s coming from different information sources. The resulting “echo chamber” effect could reinforce a person’s existing perspectives, regardless of whether that information is accurate.

A new study involving Binghamton University, State University of New York researchers offers a promising solution: developing an AI system to map out interactions between content and algorithms on digital platforms to reduce the spread of potentially harmful or misleading content.

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

Slicing and dictionaries: a new approach to medical big data

FAR Publishing Limited
Peer-Reviewed Publication

With the exponential expansion of medical databases, the number of records in a single file has reached hundreds of millions, and the number of variables has increased significantly (such as the MIMIC database and the 4,484 variables in the ELSA survey). Traditional SQL queries and distributed storage systems are difficult to meet the needs of ordinary researchers due to their high technical barriers and high maintenance costs. This study proposes an innovative "slicing + dictionary" data processing strategy: by designing a multi-level slicing scheme for clinical dimensions, event dimensions, and mixed dimensions, massive datasets are decomposed into manageable subsets; at the same time, a standardized dictionary system with an encoding-description-location-attribute structure is constructed to achieve precise mapping between clinical concepts and data locations. Experimental verification shows that this method significantly reduces computational resource consumption, improves query efficiency, and supports flexible customization, enabling ordinary computing devices to load and process large-scale data on demand, which opens up new avenues for the popularization of medical big data utilization.

FastUKB: A revolutionary tool for simplifying UK Biobank data analysis

FAR Publishing Limited
Peer-Reviewed Publication

FastUKB is an innovative data analysis tool tailored for medical researchers, streamlining access, extraction, and analysis of UK Biobank (UKB) data—the world’s largest biomedical database with health records of over 500,000 British individuals and 10,000+ complex variables. It solves key challenges: UKB’s intricate structure, technical barriers from traditional SQL/Python extraction (difficult for non-coders), and RAP Queue Browser’s 30-variable per-operation limit. Boasting an intuitive interface, efficient batch extraction, and intelligent analysis, it lowers technical hurdles, letting clinicians/researchers easily derive insights. Deployable locally and linked to UKB-RAP, it processes diverse data, accelerating research from raw data to publication.

Breakthrough lung cancer therapy targets tumors with precision nanobody

National Research Council of Science & Technology
Peer-Reviewed Publication

A research team led by Dr. Juyeon Jung at the Bio-Nano Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), has developed a nanobody-based technology that can precisely identify and attack only lung cancer cells, opening new possibilities for cancer therapy.

Journal: Signal Transduction and Targeted Therapy
Funder: Ministry of Science and ICT

Unveiling the molecular survival strategies of earth’s most abundant marine bacteria — A paradigm shift in life sciences

Okinawa Institute of Science and Technology (OIST) Graduate University
Grant and Award Announcement

The Okinawa Institute of Science and Technology (OIST) Associate Professor Paola Laurino has been selected as one of the top 10 global awardees in the Life Sciences category of the Falling Walls Science Breakthrough, presented by Germany’s Falling Walls Foundation.

Chinese Medical Journal article review explores extracellular vesicles in oocyte health and therapies

Chinese Medical Journals Publishing House Co., Ltd.
Peer-Reviewed Publication

Extracellular vesicles (EVs) are tiny particles released by cells that help control egg development. In a recent review, researchers from China explored how EVs influence oocyte health by transferring important molecules between cells. The article discusses how EV function changes under disease conditions and how this affects fertility. It also highlights the growing potential of therapeutic EVs to improve egg quality and treat ovarian disorders, offering new possibilities for advancing reproductive medicine.

Journal: Chinese Medical Journal

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