New research explains how our brains store and change memories
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2026 05:16 ET (30-Apr-2026 09:16 GMT/UTC)
A new study reveals how our brains store and change memories. Researchers investigated episodic memory - the kind of memory we use to recall personal experiences like a birthday party or holiday.
They showed that memories aren’t just stored like files in a computer. Instead, they’re made up of different parts. And while some are active and easy to recall, others stay hidden until something triggers them.
Importantly, the review shows that for something to count as a real memory, it must be linked to a real event from the past. But even then, the memory we recall might not be a perfect copy. It can include extra details from our general knowledge, past experiences, or even the situation we’re in when we remember it.
The team say their work has important implications for mental health, education, and legal settings where memory plays a key role.
Open-source large language models (LLMs) research has made significant progress, but most studies predominantly focus on general-purpose English data, which poses challenges for LLM research in Chinese education. To address this, this research first reviewed and synthesized the core technologies of representative open-source LLMs, and designed an advanced 1.5B-parameter LLM tailored for the Chinese education field. Chinese education large language model (CELLM) is trained from scratch, involving two stages, namely, pre-training and instruction fine-tuning. In the pre-training phase, an open-source dataset is utilized for the Chinese education domain. During the instruction fine-tuning stage, the Chinese instruction dataset is developed and open-sourced, comprising over 258,000 data entries. Finally, the results and analysis of CELLM across multiple evaluation datasets are presented, which provides a reference baseline performance for future research. All of the models, data, and codes are open-source to foster community research on LLMs in the Chinese education domain.
Nature is a source of well-being and recovery for many people. However, research shows that there is also a growing number of individuals who experience negative emotions, such as fear, discomfort, or even disgust, toward nature. The phenomenon, called biophobia, is now highlighted in a new study from Lund University.
The Quantum Education Summit event, hosted at CosmoCaixa Science Museum of Barcelona, will gather more than 300 participants from five different continents.
The topics of the conference will cover the full spectrum of quantum education: from foundational curriculum design, workforce training and inclusive global participation to policy strategies, educational innovations, and outreach efforts that advance accessibility and broaden the impact of quantum learning worldwide.
Keynote speakers include Nobel Laureate Carl Wieman, from Stanford University, Maité Depuis, from Perimeter Institute of Canada, and Eboney Hearn, from MIT Introduction to Technology, Engineering and Science.
Glycolipid metabolic disorders, linked to cardiovascular diseases and cancer, are a major global health challenge. Current single-disease treatments remain unsatisfied in reducing long-term risks. In 2024, Professor Jiao Guo along with global experts launched the "Global Initiative for Glycolipid Metabolic Health" to enhance prevention through scientific research, public education, and integrated management systems.
A new study suggests that traditional learning activities like making notes remain critical for students’ reading comprehension and retention, while also suggesting that large language models (LLMs), such as ChatGPT or Microsoft Copilot, could be a useful tool for helping students clarify, explore, and contextualise learning material.