Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
Electronics360

Wind turbine control systems: From PID to reinforcement learning

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

Machine learning revolutionizes design of green solvents for carbon capture: a new era for ionic liquid development

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
C&EN

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...
IEEE

Intelligent Warehousing: A Machine Learning and IoT Framework for Precision Inventory Optimization

Abstract: The evolution of intelligent warehousing represents a paradigm shift in supply chain logistics, driven by the synergistic integration of machine learning (ML) algorithms, Internet of Things ...
GitHub

BOCoDe: Benchmarks for Optimization and Computational Design

We present BOCoDe, a Python and PyTorch-based library that contains the most comprehensive suite of engineering design optimization problems and an interface to popular synthetic optimization problems ...
Frontiers

Artificial liver classifier: a new alternative to conventional machine learning models

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
IEEE

An Effective Antenna Shape Optimization Framework Employing Machine-Learning-Based Approach

Abstract: A machine-learning-based framework for antenna shape optimization design is presented, which enables an accelerated design process for antennas. The employment of a self-supervised learning ...
Brown University

Faster topology optimization: An emerging industrial design technique gets a speed boost

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...