To meet the growing demand for faster scientific discovery that strengthens the bioeconomy, plant scientists worked with ...
Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...
Fighting fires could be done remotely without the need to place firefighting crews directly in potentially dangerous situations by using collaborative teams of artificial intelligence-powered robots ...
DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector in Macro images. It substitutes the edge detection step of CS-TRD by a deep-learning-based approach (U-Net), which allows the ...
Abstract: The increasing reliance on GPS systems in Unmanned Aerial Vehicles (UAVs) has made the need for an efficient and robust system to detect, mitigate, and prevent potential disruption during ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...
The Python Copilot SDK currently exposes a mixed public API surface: some higher-level methods return dataclass-based models (generated from NodeJS definitions), while others return raw JSON-RPC dicts ...
Background: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence ...
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