Tag: LoRa

Researchers have unveiled MiRAGE, a parameter-efficient AI framework that adapts its computational depth to each satellite image and uses CLIP ...

Researchers at Thompson Rivers University built a two-tier Zigbee-LoRa sensor network with browser-based Random Forest inference that delivered near-real-time ignition-risk ...

A new study shows that how wearable sensor data is translated into language-model inputs—raw numbers, category labels, or both—critically shapes ...

The emergence of low-power wide-area networking has fundamentally altered the design space available to Internet of Things engineers over the ...

A new review finds that Bangla medical question answering lags far behind English systems due to dataset scarcity, translated corpora, ...

A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...

Researchers trained dual LoRA modules on Stable Diffusion to model how northern and southern Qing timbercraft traditions converged, finding that ...

Researchers fine-tuned a Llama model with LoRA to extract agronomic triplets and build a GraphRAG-powered knowledge graph that outperforms standard ...

Researchers have developed ValuePEFT, a parameter-efficient fine-tuning method that steers large language models toward explicitly specified human values with measurable ...

A fine-tuned three-billion-parameter vision-language model learned to halt all traffic at simulated intersections when pedestrians were in danger, cutting their ...