Robohub.org
 

AI holidays 2023


by and
31 December 2023



share this:

Thanks to those that sent and suggested AI and robotics-themed holiday videos, images, and stories. Here’s a sample to get you into the spirit this season.


Josh Miller used ChatGPT to create the 12 days of Christmas. Prompt: “I want to make 12 images in an early 1980s era to depict the twelve days of Christmas”.

See the pictures in higher definition here.


“Santa’s Secret: Robots Saved Christmas! | CPS XMAS video 2023” from Chair of Cyber-Physical Systems.


“AI rewriting classic Christmas stories” from GingerPale.


Using PaLM2 to generate haikus.

Prompt: “Write me a haiku about an alternative xmas”.
No gifts, no grand feast,
Just laughter and joy, warmth spread,
Kindness fills the air.

Prompt: “Write a haiku about the winter holiday season”.
Snow blankets the land,
Hearts aglow with love’s warmth,
Joyous cheer surrounds.


“Put a Bow on It | Happy Holidays” from Boston Dynamics.


“Christmas Magic: Animated Backgrounds for an Enchanting Atmosphere” from AI-ArtificialIntelligence.


“XMAS – Episode 3: AI – Christmas music for the HAKOM Christmas party” from HAKOM Time Series.


“Christmas tree in python notebook with Turtle” from Learn Upwards.


“FZI Living Lab Christmas Robotics 2023 – Robotic Reindeer Rescue” from FZI channel.


A letter to Santa generated by PaLM2. Prompt: “Write me a letter to Santa Claus. I don’t want any presents, just inspiration in my machine learning research for 2024.”

Dear Santa Claus,

As the year comes to a close, I find myself reflecting on the remarkable advancements in machine learning that have transformed our world. From self-driving cars to personalized medicine, these innovations have opened up new possibilities and enriched our lives in ways we could have only imagined a few decades ago.

I am writing to you today not to ask for material gifts, but rather for something more precious: inspiration to continue exploring the frontiers of machine learning in the year to come. As a researcher in this field, I am eager to contribute to the development of algorithms and techniques that can further enhance our understanding of the world around us and create solutions to pressing global challenges.

I am particularly fascinated by the potential of machine learning to address the climate crisis. By harnessing the power of data and computation, we can develop more efficient renewable energy sources, optimize transportation systems, and mitigate the impact of extreme weather events. Additionally, I believe that machine learning can play a crucial role in improving education, healthcare, and environmental sustainability.

I know that you have a special ability to see the world in a unique and insightful way. I hope that you can share some of your wisdom with me and guide me towards promising research directions. I am eager to embark on new challenges and make a positive impact on the world through machine learning.

Thank you for considering my request, Santa Claus. I look forward to your guidance and inspiration as I pursue my research endeavors in the year ahead.

With warmest regards,

[Your Name]




AIhub is a non-profit dedicated to connecting the AI community to the public by providing free, high-quality information in AI.
AIhub is a non-profit dedicated to connecting the AI community to the public by providing free, high-quality information in AI.

Lucy Smith is Managing Editor for AIhub.
Lucy Smith is Managing Editor for AIhub.





Related posts :



Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video

AI-powered robots help tackle Europe’s growing e-waste problem

  12 May 2025
EU-funded researchers have developed adaptable robots that could transform the way we recycle electronic waste, benefiting both the environment and the economy.

Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence