Science Comunication

Created by Tom Lum, Software Developer at TechChange.org
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What everyone's up to

Released a youtube video
explained a concept
science communication
Spoke on YouTube video
+ 2
โ€œMasked Autoencoders Are Scalable Vision Learnersโ€ paper explained and animated! ๐Ÿ“บ
Say goodbye to contrastive learning and say hello (again) to autoencoders in #ComputerVision!

Love the simple, elegant idea! ๐Ÿ‘
๐Ÿ‘‰ https://youtu.be/Dp6iICL2dVI
Presented at ISBC
The first big demo of our product to the science community.
CEO, ZebraML
Presented at ISBC
Discussed the progress of the project with academia at Stress and Behavior Conference
CEO, ZebraML
explained a concept
Spoke on YouTube video
Released a youtube video
science communication
+ 2
What could go wrong when comparing models based on the number of parameters?
Size does not matter | The efficiency misnomer | What does the number of parameters mean?

๐Ÿ‘‰ https://youtu.be/l3bTCP6x-FM
Released a youtube video
Spoke on YouTube video
explained a concept
science communication
+ 2
SimVLM paper explained | What the paper doesn't tell you
๐Ÿ‘‰ https://youtu.be/XU4ZHUnnbpg
Released a new podcast episode
science communication
Over the last weeks, I had the chance to speak to three researchers and scientific transfer staff about the opportunities and challenges of modern high tech food production in the region of Brandenburg.

You can listen to my interviews on Smart Greenhouses, Aquaponics and Microalga over at wissenstransfer.innohub13.de/podcast.ย 

Especially the episode on microalgae was a ton of fun. Being a biotechnology engineer with a background in plant science myself, I found it fascinating to talk about the practicalities of growing a photosynthetic organism in water for food โ€“ and at scale, while using wastewater from other food industries as sugar input.ย 

The episodes are in German and part of my work at Innovation Hub โ€“ fast track to transfer.
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