Artificial Intelligence (AI), Algorithms, Models, and Methodologies to advance research in various Scientific fields, that includes but is not limited to the following:
- Astronomy
- Astrophysics
- Cosmology
- Planetary Science
- Exoplanets
- Gravitational Waves
- Dark Matter and Dark Energy
- Black Holes and Supermassive Black Holes
- Gamma-Ray Bursts (GRBs)
- Supernovas
- Various types of Stars
- Lyman-Alpha Blobs (LABs)
- The Great Attractor
- The Cosmic Web
- Comets
- Asteroids
- Astrobiology
- Heliophysics
- Earth Science
- Particle Physics / High Energy Physics (HEP)
- Particle Astrophysics / Astroparticle Physics
- Quantum Physics
- Quantum Computing
- Fusion Reactors
- and a lot more
Research and Development (R&D) in various types of Artificial Intelligence (AI), there underlining infrastructure, and methodologies, such as:
- Large Language Models (LLMs)
- Large Reasoning Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Cache-Augmented Generation (CAG)
- Deep Learning (DL)
- Artificial Neural Networks (ANNs)
- Feedforward Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory (LSTM) Networks
- Generative Adversarial Networks (GANs)
- Transformer Networks
- Fluid Artificial Intelligence (FAI)
- Crystallied Artificial Intelligence (CAI)
- Edge AI
- Distributed AI
- Long and Short Term Memory (LSTM)
- Natural Language Processing (NLP)
- Natural Language Understanding (NLU)
- Natural Language Generation (NLG)
- Natural Language Acquisition (NLA)
- Neural Machine Translation (NMT)
- Machine Learning (ML)
- Reinforcement Learning (RL)
- Generative AI
- Agentic AI
- Predictive AI
- Computer Vision
- Machine Vision
- Algorithms (various types)
- Supervised Learning
- Unsupervised Learning
- Open Source Software and Tools
- Open Source Algorithms and Models
- Long Chain Framework
- Long Graph Framework
- and a lot more
