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 ...
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia ...
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 ...
India PR DistributionJodhpur (Rajasthan) [India]/ New York [US], July 1: In a story that reflects India’s growing footprint in artificial intelligence, Iram Kamdar, daughter of renowned Jodhpur-based ...
Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...
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 ...
Greg Frenzel, CLAAS Combine Product Manager, explains how CEMOS AUTOMATIC technology helps improve harvest efficiency.
Quantori's MLConfGen wins the Machine Learning Innovation Award at the 2026 AI Breakthrough Awards for advancing AI-assisted molecular design.
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