The novel IEAC framework integrates encryption with high-capacity transmission, achieving 1 Tb/s over 1,200 km and enhancing ...

Explore how AI and data privacy are reshaping global business, driving innovation, and demanding agile, ethical governance ...

A key factor preventing impact investing from reaching its maximum potential is the absence of robust monitoring and learning ...

verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper. verl is flexible and easy to use with: Easy extension of diverse RL algorithms: The hybrid-controller ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

Ocean observation today is confronted with significant challenges, including limited adaptability to complex environments, low efficiency in handling ...

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...

“By making AI more interpretable and robust, our work will help ensure that deep learning technology is not only powerful but ...

Deep Cogito’s lineup of open-source language models is known as the Cogito v1 series. The algorithms are available in five ...

It also aims to increase efficiency by ensuring learners do not need to repeat learning unnecessarily. An overview of the policy is also available for learners and for managers. Policy framework for ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...