Development of an AI device using ion gel and graphene that dramatically streamlines machine learning computations
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: 28-Apr-2026 07:17 ET (28-Apr-2026 11:17 GMT/UTC)
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence (AI) device that exploits ion behavior to perform information processing. The team succeeded in reducing the computational load to about 1/100 of that required for conventional deep learning. The technology is expected to contribute to enhancing the information processing performance of "edge AI" operating directly on terminal equipment (an edge device). This research was published in ACS Nano on October 14, 2025.
China has moved from patchy, post-crisis biosafety rules to a unified legal regime anchored by the 2020 Biosecurity Law, yet fragmentation, weak risk intelligence and poor inter-agency coordination still leave gaps that could be exploited by novel pathogens, synthetic biology or geopolitical tension. Historical review shows three phases: 1949-2002 built basic disease reporting and plant-quarantine systems but relied on paper records; 2003-2019 introduced internet-based surveillance, BSL-3/4 laboratories and alignment with WHO’s International Health Regulations after the SARS shock; 2020-present elevated biosafety to national-security status, enacted the Biosecurity Law and poured funds into diagnostics, vaccines and bio-economic R&D during COVID-19. These steps created the skeleton of a modern system, but four structural weaknesses persist: strategic plans lack operational road-maps and AI-enabled foresight; the legal framework offers no clear dispute-resolution or accountability mechanisms; organisational silos among health, agriculture, science and military agencies hamper horizontal coordination; and public awareness plus professional training remain patchy, weakening compliance culture.
This study systematically elucidates the drug resistance mechanisms of five highly pathogenic viruses, proposes five innovative anti-resistance strategies, and integrates artificial intelligence technology to establish a next-generation antiviral drug research and development framework, thereby providing critical theoretical support and transformative pathways for addressing clinical challenges associated with drug resistance.
From its early development to the 2025 meeting, the Global Education Deans Forum reflects shifting responses to global educational change. Leaders gathered in the United States in 2025 to discuss how artificial intelligence is transforming teaching, teacher education, and institutional decision-making. Conversations emphasized collaboration, ethical reflection, and scalable innovation. ECNU’s involvement highlighted its continued commitment to international exchange, research-informed practice, and shaping future-oriented education leadership worldwide across diverse systems and cultural contexts
A study published in ECNU Review of Education explores how cultural contexts shape pre-service teachers’ noticing of students’ mathematical thinking. Using a cartoon-based vignette on fraction errors, researchers compared responses from Spanish and German teacher trainees. While both groups identified key aspects of student understanding, German participants emphasized classroom management, whereas Spanish participants focused on conceptual reasoning, reflecting differences in teacher education traditions.
Effective teacher noticing supports teacher learning by enabling reflection of what was noticed, or missed, during teaching. A new study examined two primary school mathematics teachers from China to understand their professional noticing in everyday classroom contexts. The researchers investigated what teachers noticed about students' mathematics learning and how this noticing translated into instructional decisions.