Stories
- ArticlePredict deep learning training through graph neural networks
- ArticleAdvances in the adoption of artificial intelligence in water utility plants
- ArticleWhat type of Blockchain is best for your company?
- ArticleNew machine learning model for the early detection of fake news
- ArticleMachine learning: The key to faster and easier calculations of free energy
- ArticleOn the way to smarter automation in manufacturing
- ArticleNeuromorphic computing: current developments and future challenges
- ArticleArtificial intelligence paves the way for protein design and analysis
- ArticleUsing new engineering technologies to enhance supply chain management
- ArticleA deep-learning model that predicts product yields of organic reactions
- ArticleReconstructing a video from just a few pixels with machine learning
- ArticlePolymer Genome: a machine-learning based platform for predicting polymer properties
- ArticleTo evolve or imitate? The future of neuromorphic edge computing
- ArticleFederated learning and protection of user privacy
- ArticleNeuromorphic processors: an overview of their properties
- ArticleTowards computing devices that mimic the human brain
- ArticleImproving autopilot systems for drones using machine learning
- ArticleAn initialization method for training quantum circuits that avoids the vanishing gradient problem
- ArticleQuantum: the key to self-supervised machine learning
- ArticleA physics-informed optimization algorithm
- ArticleSELFIES: an interpretable robust molecule representation for machine learning models
- ArticleUnlocking interatomic potentials with artificial neural networks
- ArticleError estimation for machine learning models in computational chemistry
- ArticleMachine learning in theoretical chemistry and materials science
- ArticleMulti-component nitride coatings – where to next ?
- ArticleWhat’s at the leading edge of research in the simulation of high entropy alloys?
- ArticleA machine learning framework that predicts multiple properties of new materials
- ArticleUpdated machine learning descriptors allow faster and more accurate predictions of new materials
- ArticleDigital twins: taking smart machining processes to the next level
- ArticleA cloud-based IoT framework that extends the life of cutting tools
- ArticleSecuring sensitive manufacturing data with data mining-based differential privacy
- ArticleA collaborative approach allows smaller enterprises to access smart industrial technology
- ArticleAnalyzing 3D printing in real time with artificial intelligence
- ArticleNew, easy to understand framework for monitoring and analysis in production processes
- ArticleExploring fly ash concrete mixtures using neural networks
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