DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...

The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the accurate and timely ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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.

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.