Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
To meet the growing demand for faster scientific discovery that strengthens the bioeconomy, plant scientists worked with ...
Researchers have shed new light on the features that enable tree-dwelling mammals to move effectively through their environments, providing insights into the evolution of the distinct upright postures ...
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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