By 2030, agriculture in India could contribute $600 billion to GDP, driven by AI solutions. Sickle Innovations and Dayatani ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

She went from running a dry-cleaning shop in New Jersey to quietly igniting the deep learning revolution that powers today’s ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Abstract: Countries experiencing rapid aging face severe caregiver shortages, necessitating effective workforce optimization. Nursing care activity recognition (NCAR) offers a promising solution by ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Hello LeRobot Team! Thank's for providing this great repository and the dataset visualizer. Insofar as I understand it, LeRobotDataset always keeps the whole dataset in memory, which causes ...