Researchers build brain-inspired computer prototype
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 2-Jan-2026 05:11 ET (2-Jan-2026 10:11 GMT/UTC)
Scientists have uncovered a surprising new role for the protein Frazzled in keeping neurons fast and precisely connected. Studying the fruit fly’s Giant Fiber System, which drives its rapid escape reflex, they found that without Frazzled, neurons fail to form proper electrical connections, slowing responses and weakening movement. Remarkably, the protein’s intracellular portion alone could restore normal signaling. By combining genetics, imaging and modeling, the team revealed how Frazzled (known as DCC in mammals) fine-tunes gap junctions, offering fresh insight into how nervous systems – from flies to humans – stay reliably wired.
A research paper by scientists at Southern Medical University presented a novel federated metadata-constrained method with mutual learning for all-in-one CT reconstruction.
The research paper, published on Aug. 27, 2025 in the journal Cyborg and Bionic Systems.
The era of AI requires new educational taxonomies that prepare AI natives for personal and professional success. In a new breakthrough, a researcher from the Educational University of Hong Kong has proposed, in TAO, the novel SCALE taxonomy that integrates scientific literacy, computational thinking, AI literacy, learning to learn/metacognition, and engineering and design thinking. It equips AI natives to engage in meaningful experiences and promotes “authentic learning through creating” in the age of AI.
This study proposes an innovative curriculum integrating intellectual property education with ideological and political education, emphasizing lifelong, practice-driven, and internationally oriented learning. To address limitations in content diversity, practical integration, and global perspective, the paper advocates using AI to develop intelligent, personalized learning platforms. Results indicate that this integrated approach enhances teaching quality, students’ social responsibility, and practical competence, offering theoretical and practical guidance for advancing professional degree education in the digital era.