The contemporary firm operates in an economy where the locus of competitive advantage has shifted decisively from tangibles to intangibles, with the skills of people, the architecture of data, and the ...

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and ...

Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...

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

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...

Abstract: Due to its property of not requiring prior knowledge of the environment, reinforcement learning (RL) has significant potential for solving quantum control problems. In this work, we ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

Abstract: Federated Learning (FL) is a framework for machine learning on a large-scale distributed dataset, enabling the training of a collaborative model across multiple parties while preserving the ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...