Uncovering language learning strategies for Japanese university students in STEM
Peer-Reviewed Publication
Updates every hour. Last Updated: 31-Oct-2025 02:11 ET (31-Oct-2025 06:11 GMT/UTC)
English proficiency is crucial for Japanese STEM students, but validated and robust methods for assessing their language learning strategies (LLSs) are lacking. In a recent study, Associate Professor Akihiro Saito from the Tokyo University of Science developed and validated a new instrument specifically tailored for this group. The proposed tool offers key insights into LLSs, paving the way for better English learning.
The Machine Intelligence and Neural Discovery (MIND) Institute at Wits University has been awarded core funding of US$1 million by Google.org. Led by Professor Benjamin Rosman (TIME100 AI 2025 influencer), the Wits Mind Institute is home to some of Africa’s leading fundamental AI researchers, and this landmark investment will supercharge its research and drive next-generation breakthroughs in natural and artificial intelligence.
Embedded systems such as Internet of Things (IoT) devices and single-board computers require careful memory allocation management. In a recent breakthrough, SeoulTech researchers have proposed LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments like IoT devices and embedded systems. The research demonstrates up to 53% faster execution times and 23% lower memory usage compared to Linux's default allocator, while requiring only 530 lines of code versus ptmalloc's 4,838 lines.