IBM Journey to AI blog

FEBRUARY 15, 2024

The impacts of climate change may be organized into three categories: Intensifying extreme weather events Changes to natural ecosystems Harm to human health and well-being Extreme weather events While climate change is defined as a shift in long-term weather patterns, its impacts include an increase in the severity of short-term weather events.

Artificial Intelligence 66

Artificial Intelligence Artificial Intelligence 66

Smart Data Collective

SEPTEMBER 30, 2021

Wildlife Conservation. Often times, conservationists and ecologists will set camera traps in order to get a better idea of what animals are living in an area, what time they are active as well and to monitor human impact on wildlife. 3] Smart Parks, Artificial Intelligence in Wildlife Conservation (2019). [4]

Machine Learning 121

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 121

Defined.ai blog

JANUARY 31, 2023

2 , the model was given a much more diverse and wide-ranging dataset, which delivered a big jump in image quality when it came to architecture, interior design, wildlife, and landscape scenes. At Defined.ai , we’re always expanding and adding new categories of data as quickly as the AI market dictates or as our clients demand them.

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

BAIR

MAY 3, 2022

For example, wildlife datasets change in class composition all the time because of animal invasion, re-introduction, re-colonization, and seasonal animal movements. reliability); and 3) the percentage of novel categories that are detected as low-confidence predictions (i.e., The biggest difference is the ever-changing data.

AI 59

AI AI Supervised Learning Artificial Intelligence 59

AWS Machine Learning Blog

FEBRUARY 5, 2024

The risk of zoonotic disease spillover is sharply correlated with multiple social, environmental, and geographic factors that influence how often human beings interact with wildlife. Human-wildland interface – Areas where human settlements intersect with wildlife habitats are potential hotspots for zoonotic transmission.

ML 83

ML ML AWS Support Vector Machines 83

AWS Machine Learning Blog

MAY 9, 2023

Various use cases fall into this category, such as preprocessing or postprocessing steps composing a model ensemble. Outside of work, he enjoys running, hiking and wildlife watching. Python backend runtime architecture As the name suggests, the Python backend is for running models that are written and run in the Python language.

Python 81

Python ML ML Deep Learning 81

AWS Machine Learning Blog

MAY 2, 2023

With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. Outside of work, he enjoys running, hiking and wildlife watching. One of the most popular models available today is XGBoost.

ML 64

ML ML Python Machine Learning 64