Abstract: Surrogate models are increasingly used to reduce the computational costs of building performance simulation (BPS) models. However, they are rarely coupled with optimization algorithms to ...

Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...

Artificial intelligence is no longer confined to screens and smart speakers. It is starting to steer, brake, and even ...

AI is having a seismic impact on processes across all industries, speeding things up and driving costs down. And digital ...

The idea that reality might be a kind of cosmic software has moved from late night dorm debates into serious physics journals ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have made a significant discovery regarding ...

The increasing complexity of embedded systems within battery management necessitates robust testing methodologies that ...

During CES, aiMotive demonstrates aiDrive, its modular automated driving software stack supporting ADAS and automated driving ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

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

Immervision, the global leader in wide-angle vision, image-processing algorithms, and end-to-end camera simulation, announced its contribution to the newly launched Lenovo ThinkPad X1s and X9-15p ...