Imagine flipping a switch not to turn on a light—but to shift your building from heating to cooling. A breakthrough in smart materials now makes this possible. Scientists have developed an electrochromic harvester that dynamically alternates between collecting heat and releasing it—offering a low-power, all-day climate solution that could reduce building energy use by up to 21.4%.

In their research on enhancing LoRA-based fine-tuning for LLMs, the research team introduced an Enhanced Matrix Decomposition for single-task scenarios and a routing mechanism for multi-task learning, improving flexibility and performance without increasing computational complexity.

Time-consuming testing and computer simulations are bottlenecks in the design of new materials. A thesis from the University of Gothenburg aims to develop an AI model that can efficiently determine the durability and strength of woven composite materials.

Research team offers a comprehensive review of cognitive strategy-enhanced persuasive dialogue agents (CogAgent). They formalized cognitive strategies from cognitive psychology, summarized research, and analyzed benchmarks and evaluation metrics to advance the field.

Research team proposed POGs, providing containers with individual log configuration, storage, and view to enhance isolation, security, and efficiency with negligible performance overhead.