Welcome to My Retirement Journey

Exploring AI research, hobbies & photography through birding, sports, travel, and an academic lens

📝 Featured Blogs

Insights on AI, birding adventures, and photography techniques

AI Blog
AI Research
AI Fundamentals - Part I

Exploring linear classification and the foundations of machine learning algorithms.

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Red-headed Woodpecker
Birding
Red-headed Woodpecker

Capturing the incredible moment of a woodpecker catching an insect mid-flight.

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Conowingo Eagles
Photography Trip
Conowingo Dam Eagles

An unforgettable eagle photography trip to Conowingo Dam in November 2023.

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🎨 Hobbies Photo Gallery

Explore my passion for photography across multiple interests - from wildlife and nature to sports, travel, and everyday adventures.

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Multi-Interest Gallery

Curated collections across all hobbies

Discover My Creative Collections

Browse through organized photo galleries featuring birding expeditions, sports moments, travel adventures, hobbies in action, and more. Each collection is carefully curated with high-resolution images and detailed captions.

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High-res Photos
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Video Content
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Organized Albums
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Zoom & Details
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About Me

I am searching for an interesting retirement life after my academic tenure. My updated interests include, not limited to, artificial intelligence (AI), philosophy reading, birding, skiing, tennis, golf, swimming, skating, violin, curling and travelling (click the hobby sections below for details). To set up this web home, I would like to thank my wife, Mei, for effective communication, understanding and support of my retirement life, my son, Michael for programming skill guidance at professional level, my nephew, Haoming for string music instrument knowledge, my former colleagues, students and all friends around the world for visiting my home page.

🎯 My Hobbies & Interests

Click on any hobby below to learn more and see photos

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Artificial Intelligence (AI) Research via Philosophy Reading

I am an AI researcher for many years, however, I have never believed that it can replace human intelligence like philosophy study, for example. My AI blogs intend for people interesting to current AI trends, specifically, in machine learning, deep learning neural networks and big data.
Philosophy is best when it responds to intellectual challenges arising in other areas of thought, like artificial intelligence, physics, or other science subjects. My simple reading book is:
The Ultimate Truth (About Love & Happiness): A Handbook to Life Paperback – Jan. 1 2003 by Lester Levenson
- Man cannot make this Truth nor can he change this Truth ...
- Happiness is our inharent state. Happiness is you being you without any nagativity.
An alternative thinking pattern is: "Per aspera ad astra!"

One of the most interesting features of "morden AI tech" is the capability to transfer image styles.




Birding

One of my hobbies is wild life photography with my wife Mei, it is amazing to find out how people love citation styles in social media which may not be very similar to the concept of traditional academic citation.
Specifically designed neural networks can transfer bird photos into multi-artistic styles with different "degree" controls, i.e. photo realistic or painting looking effects.

Swimming

This was one of my favourable sports before Covid'19. Swimming in the ocean is my new love now!

Skiing

Bluemountain resort.

Tennis

I used to have regular tennis sessions with my partners Xiao-Dong, "Xiao-Wang" and David at the university sports center in 2010s.

Violin

Birding with Violin.

Golf

There are many excellent golf clubs around the region.

Speed Skating

This is one of my favourable winter sports of retirement life in the most effective way (the short video is a combination of skating at Burlington Ice Center with sample birding photos taken at Costa Rica Trip 2024).

Travelling

There are many places yet to explore despite my overseas experiences over the years ...

I am occasionally curling and climbing with my son, Michael, to add possible new hobbies around the age of seventy ?!

This is a new learning curve.