Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Abstract: Developing optimal bidding strategies for the market participants plays a crucial role in increasing the profit of the electricity market. For the complex double-sided auction market ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

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

Abstract: Conventional missile guidance and control systems are difficult to adapt to complex environments, and new missile guidance systems with fast and accurate decision-making capabilities and ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

Hexagon Robotics is pleased to announce a strategic partnership with Microsoft aimed at advancing humanoid robots with a focus on: Redefini ...

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with ...