A series looking at how the energy, food and water sectors are using AI and machine learning to try to reduce consumption, cut costs and make the use of resources more efficient. It’s not kindness, it’s economics.
How Artificial Intelligence Is Making Energy Smarter and Cleaner
Artificial intelligence is powering more and more of the things we interact with every day, from our gadgets to our cars. But it’s also playing a growing role in how society’s undergirding resources — energy, food, and water — are sourced, secured, and delivered. (Read the full story here.)
How AI Could Smarten Up Our Water System
It’s easy to take water for granted. Turn on the tap, and you’ll receive clean, life-giving water (with some very notable exceptions). But for a myriad of reasons, ranging from our changing climate to aging infrastructure to growing demands for water, all aspects of the water cycle — how it is collected, cleaned, distributed (and repeat) — are overdue for a technological makeover. (Read the full story here.)
Why Farmers Are Turning to AI to Boost Yields
Environmental author Wendell Berry might shudder at this comparison, but farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data.
That data just happens to be related to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables. (Read the full story here.)
Recycling facilities use robotic sorting stations and object-recognition technology to identify and put garbage in its proper place.
July 5, 2017
Filled with intricate mazes of high-speed conveyor belts carrying yesterday’s garbage, high-tech recycling centers use sophisticated sensors to sort plastic from paper from aluminum. While this technology may streamline sorting, it’s not smart or nimble enough to finish the job.
Behind the scenes, recycling workers continue to sort the materials, making sure cereal boxes don’t mix with soda cans. And because this isn’t just a dirty job, but a mind-numbingly tedious one, there’s particularly high turnover at modern recycling centers, according to the Bureau of Labor Statistics.
But the future of smart recycling is looking brighter. Spider-like robotic arms, guided by cameras and artificial intelligence (AI) — think of it as facial-recognition technology for garbage — are helping to make municipal recycling facilities (MRFs) run more efficiently.
“I think the way we move waste recovery forward is by creating new, innovative ways to process material,” said Thomas Brooks, director of technology for Bulk Handling Systems (BHS), which produces the Max-AI robotic sorter. “That is how we’ll get others involved, and how we’ll get more material recycled.”
Read the full story here.
A $150,000 reward is up for grabs for any data scientist who can write code for facial recognition software that can pinpoint illegal catch on fishing boats.
Facial recognition software is most commonly known as a tool to help police identify a suspected criminal by using machine learning algorithms to analyze his or her face against a database of thousands or millions of other faces. The larger the database, with a greater variety of facial features, the smarter and more successful the software becomes – effectively learning from its mistakes to improve its accuracy.
Now, this type of artificial intelligence is starting to be used in fighting a specific but pervasive type of crime – illegal fishing. Rather than picking out faces, the software tracks the movement of fishing boats to root out illegal behavior. And soon, using a twist on facial recognition, it may be able to recognize when a boat’s haul includes endangered and protected fish.
Read the full story here.