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On Monday March 27, 2023 has 650 pages provides content on topics such as natural language processing, computer vision, deep learning, generative AI, reinforcement learning, and quantum technology. It is a resource for individuals who are passionate about learning and aspire to acquire knowledge and develop new skills. This site contains links to articles and videos on Artificial intelligence (AI) concepts and techniques.

Getting Started



AI Breakthroughs

AI Fun

.. more Natural Language Processing (NLP) fun...

How to...

Forward Thinking

  • Moonshots ... a project or goal that aims to achieve a major breakthrough in artificial intelligence that has the potential to transform society or address significant global challenges
  • Journey to Singularity ... a hypothetical future event in which artificial intelligence (AI) surpasses human intelligence in a way that fundamentally changes human society and civilization
  • Creatives ... individuals who have significantly contributed to the development, advancement, or popularization of AI

Generative AI

The ability to generate new content or solutions, such as writing or designing new products, using techniques such as Generative Adversarial Networks (GANs) or neural style transfer.

Information Analysis


Predict values - Regression

Analyze large amounts of data and make predictions or recommendations based on that data.

Classification ...predict categories


Clustering - Continuous - Dimensional Reduction





- includes social networks, sensor networks, the entire Internet, 3D Objects (Point Cloud)

Sequence / Time



Spatial-Temporal Dynamic Network (STDN)



In many practical situations, the cost to label is quite high, since it requires skilled human experts to do that. So, in the absence of labels in the majority of the observations but present in few, semi-supervised algorithms are the best candidates for the model building. These methods exploit the idea that even though the group memberships of the unlabeled data are unknown, this data carries important information about the group parameters. Reference: Learning Techniques

Natural Language

Reinforcement Learning (RL)

an algorithm receives a delayed reward in the next time step to evaluate its previous action. Therefore based on those decisions, the algorithm will train itself based on the success/error of output. In combination with Neural Networks it is capable of solving more complex tasks. Policy Gradient (PG) methods are a type of reinforcement learning techniques that rely upon optimizing parametrized policies with respect to the expected return (long-term cumulative reward) by gradient descent.


the “connectionists” seek to construct artificial neural networks, inspired by biology, to learn about the world, while the “symbolists” seek to build intelligent machines by coding in logical rules and representations of the world. Neuro-Symbolic combines the fruits of group.



Methods & Concepts


Learning Techniques

Opportunities & Challenges

Development & Implementation

No Coding


Libraries & Frameworks



Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)

... and other leading organizations

Sponsored by... Little House On The Bay

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