This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Abstract: Hyperparameters in machine learning are those variables that are set before the training process starts and regulate several aspects of the behavior of the learning algorithm. In contrast to ...

Abstract: Federated learning (FL) and split learning (SL) are state-of-the-art distributed machine learning techniques to enable machine learning training without accessing raw data on clients or end ...

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia ...

Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...

Includes all simulation datasets (Excel/CSV) used for model training and evaluation. The codes are shared for research transparency and reference purposes. Due to environment-specific configurations ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

Quantori's MLConfGen wins the Machine Learning Innovation Award at the 2026 AI Breakthrough Awards for advancing AI-assisted molecular design.

You will be redirected to our submission process. Solar cell research plays a central role in the advancement of next-generation optoelectronic technologies and sustainable energy solutions. As key ...

OpenX IQ reflects the company's broader strategy to lead with quality and performance in programmatic advertising. By embedding intelligence directly into its platform - where signals are most ...