Food waste is a massive problem globally, with nearly one-third of all food produced for human consumption lost or wasted each year, according to the United Nations. This amounts to 1.3 billion tons of food waste annually, which has enormous environmental, economic, and social impacts. However, technology and data-driven solutions present promising ways to tackle this … [Read more...] about Reducing Food Waste with Data-Driven Solutions
global pulse
Solving the Bee Crisis with Machine Learning
Without the natural pollination bees provide, global food supply would deplete so rapidly, the effects would be disastrous. They're an essential part of our ecosystem, a part of a delicate tapestry that works to naturally pollinate our crops. According to the British Bee Keepers Association, 1 in 3 mouthfuls of food we eat depend on bees. So, it's pretty important that we work … [Read more...] about Solving the Bee Crisis with Machine Learning
4 Ways Big Data and Machine Learning Are Helping Conservation
The interdisciplinary field of computational sustainability is using machine learning algorithms to analyse and extract valuable insights from sets of Big Data gathered from environmental fields. Its not just about having large data sets or advanced pattern finding algorithms its how we use them. The following projects highlight how Machine Learning and Big Data are helping … [Read more...] about 4 Ways Big Data and Machine Learning Are Helping Conservation
How Big Data Can Help The Developing World Beat Poverty
The amount of data created is not only growing in the developed world, also the developing world is experiencing rapid growth in data creation. However, a large part of the data created in the developing world has a different origin than in the rest of the world: the developing world is progressing rapidly to the mobile era and is largely skipping the desktop and wired era. … [Read more...] about How Big Data Can Help The Developing World Beat Poverty
