Move over ChatGPT, there’s a new AI kid on the block! Just this week MetaAI released a new tool called ‘Segment Anything’ (Meta is best known as the Facebook parent company). And it’s unleashed the same fears and excitement as many tech tools before it. As someone who has been segmenting Earth observation imagery for
Getting an understanding of the size and scope of marine ecosystems has always been a challenge for environmental scientists. Seagrass is no exception. These intertidal and subtidal meadows help support important fisheries species and iconic animals like dugongs. They’re also increasingly under threat from things like poor water quality. But with some meadows being many
We’ve been talking about artificial intelligence (AI), drones and machine learning for a while now. However, do you feel that sometimes it’s just a bunch of fancy words flying around? In this article, I would like to introduce three basic machine learning concepts for those who love drones. No matter why you love flying drones,
By combining AI with drone image processing, we can pinpoint the exact geographical location on earth in an efficient and consistent manner. If you search “AI”, there are more than four trillion results in Google. If you search for “AI” in news, there is a piece released almost every hour about this topic. Artificial Intelligence
Cattle are definitely one of the rock stars in human history. They have been contributing to our society as draught animals, providing resources such as meat, milk, leather, fertiliser, by-products and as trusting companions and possessions. Why did the cow get an award? For being out-standing in the field. (Photo by Wolfgang Hasselmann on Unsplash)
In this article, we discuss extracting information from drone images. From orthomosaic maps to pixels, thrilling information can be unveiled layer by layer from drone data. However, some may wonder, how is this related to us? These are scientists’ jobs. On one hand, the abundant amount of raw data out there is too cumbersome for
If the relationships among artificial intelligence, machine learning, and deep learning were one thing that confuses me the most at the beginning of my data science journey, countless terms in computer vision are not helping with the rest of the journey. However, there is no way for me to avoid them since drone data are
Let us explain the difference between CPU vs GPU in the process of deep learning. Recently, I had an interesting experience while training a deep learning model. To make a long story short, I’ll tell you the result first: CPU based computing took 42 minutes to train over 2000 images for one epoch, while GPU based computing only took
Subscribe to join our mission!
