Stories
- Predict deep learning training through graph neural networks
Article
- Advances in the adoption of artificial intelligence in water utility plants
Article
- What type of Blockchain is best for your company?
Article
- New machine learning model for the early detection of fake news
Article
- Machine learning: The key to faster and easier calculations of free energy
Article
- On the way to smarter automation in manufacturing
Article
- Neuromorphic computing: current developments and future challenges
Article
- Artificial intelligence paves the way for protein design and analysis
Article
- Using new engineering technologies to enhance supply chain management
Article
- A deep-learning model that predicts product yields of organic reactions
Article
- Reconstructing a video from just a few pixels with machine learning
Article
- Polymer Genome: a machine-learning based platform for predicting polymer properties
Article
- To evolve or imitate? The future of neuromorphic edge computing
Article
- Federated learning and protection of user privacy
Article
- Neuromorphic processors: an overview of their properties
Article
- Towards computing devices that mimic the human brain
Article
- Improving autopilot systems for drones using machine learning
Article
- An initialization method for training quantum circuits that avoids the vanishing gradient problem
Article
- Quantum: the key to self-supervised machine learning
Article
- A physics-informed optimization algorithm
Article
- SELFIES: an interpretable robust molecule representation for machine learning models
Article
- Unlocking interatomic potentials with artificial neural networks
Article
- Error estimation for machine learning models in computational chemistry
Article
- Machine learning in theoretical chemistry and materials science
Article
- Multi-component nitride coatings – where to next ?
Article
- What’s at the leading edge of research in the simulation of high entropy alloys?
Article
- A machine learning framework that predicts multiple properties of new materials
Article
- Updated machine learning descriptors allow faster and more accurate predictions of new materials
Article
- Digital twins: taking smart machining processes to the next level
Article
- A cloud-based IoT framework that extends the life of cutting tools
Article
- Securing sensitive manufacturing data with data mining-based differential privacy
Article
- A collaborative approach allows smaller enterprises to access smart industrial technology
Article
- Analyzing 3D printing in real time with artificial intelligence
Article
- New, easy to understand framework for monitoring and analysis in production processes
Article
- Exploring fly ash concrete mixtures using neural networks
Article
Sponsors
We are grateful to our sponsors for making the Artificial Intelligence Knowledge Cooperative possible, and for their commitment to supporting research that helps develop our understanding of Artificial Intelligence.