Environment Archives - Liwaiwai

4 Steps To Using AI In An Environmentally Responsible Way

Artificial Intelligence can sustain the environment by helping to reduce GHG emissions and optimize the use of natural resources. However, AI can have unintended consequences – such as by increasing demand and thus increasing carbon footprint. This four-step plan can ensure AI can be deployed in a responsible way. With Artificial Intelligence (AI), a software system can process a huge amount of purpose-specific data and identify patterns and correlations. The result is an automated decision or performance of a task that would otherwise require a human to perform. Since its inception, AI has proven to be a transformative technology that…

An AI Software Able To Detect And Count Plastic Waste In The Ocean

It is both very clever and simple and you could use this same model for many image classification applications. FMMLs Odei Garcia-Garin et al. from the University of Barcelona have developed a deep learning-based algorithm able to detect and quantify floating garbage from aerial images. They also made a web-oriented application allowing users to identify these garbages, called floating marine macro-litter, or FMML, within images of the sea surface. Floating marine macro-litter is any persistent, manufactured, or processed solid material lost or abandoned in a marine compartment. As you most certainly know, these plastic wastes are dangerous for fish, turtles,…

‘Early Bird’ Makes Training AI Greener

A new system called Early Bird makes training deep neural networks, a form of artificial intelligence, more energy efficient, researchers report. Deep neural networks (DNNs) are behind self-driving cars, intelligent assistants, facial recognition, and dozens more high-tech applications. Early Bird could use 10.7 times less energy to train a DNN to the same level of accuracy or better than typical training. “A major driving force in recent AI breakthroughs is the introduction of bigger, more expensive DNNs,” says Yingyan Lin, director of the Efficient and Intelligent Computing (EIC) Lab and an assistant professor of electrical and computer engineering in the Brown…

This Robot Could Help Plant 1 Trillion Trees

Conservationists say we need to plant one trillion trees to help slow climate change. Now a robot forester has been developed to help speed up reforestation. The robot is capable of planting a hectare of trees in under six hours. The vehicles can also be used to prepare the ground for planting, and can even plough snow. Robots help us in many ways – from assembly lines to looking after the elderly. Now they’re turning their attention to combating climate change by helping to plant trees. Milrem Robotics, an Estonian company which started off building autonomous tanks, has developed an autonomous…

Machine Learning Could Improve Hurricane Prediction

Applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term hurricane forecasts. This approach could also help them issue timely warnings to communities in the path of these potentially deadly storms, report researchers. In a new study, the researchers used machine learning to remove certain groups of hurricane predictions from ensembles—sets of predictions from weather models that are based on a range of weather possibilities—to lower errors and improve forecasts four to six days ahead. “…WHEN YOU ARE FACING A HURRICANE, IT’S IMPORTANT TO KNOW WHAT TYPE OF STORM YOU’RE GOING…

Artificial Intelligence

Counting Antarctic Penguins With AI

Antarctica’s penguin populations are at serious risk. According to a 2019 study from the British Antarctic Survey, the world’s largest Emperor penguin colony has suffered unprecedented breeding issues for the past three years, is uniquely vulnerable to ongoing and projected climate change, and could virtually disappear by the year 2100. In order to study penguin populations, researchers first need to accurately count them. A new crowd counting solution from Intel AI Builder member and data science company Gramener could enable researchers to use computer vision to count penguin populations faster and more accurately. “It’s important to understand the impact we are having on penguin…

Technology

How Quantum Computing Could Beat Climate Change

Advances in quantum computing could help us simulate large complex molecules. These simulations could uncover new catalysts for carbon capture that are cheaper and more efficient than current models. We can currently simulate small molecules up to a few dozen qubits but need to scale this to the order of 1 million. Imagine being able to cheaply and easily “suck” carbon directly out of our atmosphere. Such a capability would be hugely powerful in the fight against climate change and advance us towards the ambitious global climate goals set. Surely that’s science fiction? Well, maybe not. Quantum computing may be…

Using Artificial Intelligence To Avert ‘Environmental Catastrophe’

A new Centre at the University of Cambridge will develop artificial intelligence techniques to help address some of the biggest threats facing the planet. Funded by UK Research and Innovation (UKRI), the Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) is one of 16 new Centres for Doctoral Training (CDTs) announced today. The Cambridge Centre will be led by Professor Simon Redfern, Head of the Department of Earth Sciences. Climate risk, environmental change and environmental hazards pose some of the most significant threats we face in the 21st century. At the same time, we…

Artificial Intelligence

5 Ways Artificial Intelligence Can Help Save The Planet

From smarter electric grids to automated monitoring of at-risk environments, there are many areas where technology could have exponential effects on sustainability. If the world’s natural resources are increasingly stressed and depleted, the silver lining may be that we’re becoming better equipped at tracking that destruction and potentially doing something about it. Cheap, widespread sensor networks, the internet of things, magnitude-improvements in computing power, open source algorithms–these all allow us to manage oceans and forests more effectively, if we want the opportunity. Artificial intelligence systems that can sense, think, learn, and act on their own could allow a major upgrade in conservation…

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