A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Apple is silently releasing its Deep Learning framework as an open-source code, according to X user Delip Rao. The new MLX framework runs natively on Apple Silicon with a single pip install. According ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...