A three-handed robot quickly and efficiently sorts recycling

February 15, 2021 by  
Filed under Business, Eco, Green, Recycle

Robots contribute to efficiency and productivity in businesses around the globe daily. So when Matanya Horowitz, founder of AMP Robotics, discovered how inefficient the recycling business had become, he put his company to work to develop a solution. The result is a three-handed robot that views, makes decisions and sorts recycling on the line. Industry studies have shown a huge amount of recycling waste. Although education and improvements in curbside recycling availability have increased the amount of recycling at the business and consumer levels, a huge portion of that is pulled off the recycling conveyor belt and ends up in the trash anyway. Additionally, the stricter purity specifications from international buyers, such as China, have created more of a waste stream. Related: Oil and plastic industry spent millions to mislead the public about plastic recycling “There’s a tremendous amount of value captured in paper, and plastic, and metal, that right now is lost at the landfill” Horowitz explained in a video. “The trouble is that the value of this material is really eroded by the cost of sorting it out in these recycling centers.” This tedious manual sorting can now be done by a robot that analyzes and sorts 80 plastic , metal and paper items of recycling per minute, which is estimated to be twice the rate of human sorters performing the same task. Plus, accuracy is rated at 99%; the company reported, “We can recognize and recover material as small as a bottlecap and as unique as a Keurig coffee pod or Starbucks cup that may require secondary processing to ensure they are recycled.” The robot uses the same “seeing” vision as self-driving cars, which allows it to analyze and make decisions about materials as they approach. It then either tells its suction cup ‘hands’ to pick an item up or allows it to float by. The system is also equipped with artificial intelligence that allows it to continuously improve accuracy, including the ability to identify squished or faded containers. With the improved speed and efficiency, this innovation could dramatically increase the amount of recycled and reused materials. In turn, this means a reduction in waste and carbon emissions at the landfill. “Globally, more than $200 billion worth of recyclable materials goes unrecovered annually,” Horowitz told Inverse. “A.I.-driven automation enables the efficient recovery of more material, which increases recycling rates and reduces human impact on the environment.” While the entire system is high-tech and sounds a bit sci-fi, the installation is easily mounted over conveyor belts in as little as 48 hours. Following a weekend installation, recycling centers can implement the robot for $6,000 a month for an estimated cost savings of 70%. However, AMP Robotics recognizes the cost of human job loss and encourages employee retraining programs. In the spring of 2020, AMP Robotics reported robot installations in more than 20 states, estimating a reduction of half a million tons of greenhouse gases . The company claims to have processed more than one billion individual items in the waste stream over a 12-month period. Robots are here to stay in nearly every aspect of our lives, from cars to vacuums to food delivery, an idea further supported by the fact that the company entered into a contract with one of the largest waste management companies in the country, Waste Connections, to install 24 robots on recycling lines last year alone. + AMP Robotics Via Inverse Images via AMP Robotics

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A three-handed robot quickly and efficiently sorts recycling

ON-A wants to renature Barcelona by greening the Camp Nou stadium

August 26, 2020 by  
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In a bid to bring greater green space to Barcelona, local architecture firm ON-A has proposed converting the city’s Camp Nou football stadium into a 26-hectare forested park. Dubbed Nou Parc, the design blankets the Camp Nou stadium and surrounding facilities with an undulating green roof strong enough to support a forest of trees. The architects estimate that the resulting park space could produce 15,000 kilograms of oxygen per day and absorb 25,000 kilograms of carbon dioxide daily. Opened in 1957 as the home stadium of FC Barcelona, the 99,354-seat Camp Nou football stadium is the largest stadium in Spain and Europe. According to the architects, less than 10% of the stadium grounds have been allocated to green space, which results in an urban heat island effect and also creates a divide between the neighborhood of Les Corts from the University Area. When the stadium is not in use for sports events or private functions, the massive area is typically disused.  Related: ZHA gets the green light for world’s first all-timber soccer stadium in England The Nou Parc proposal aims to bring greater functionality to Camp Nou with a publicly accessible green and leisure space that would not only better link the nearby neighborhoods but also improve urban air quality . The new park would be created in collaboration with tech company Verdtical so that the undulating green roof blanketing the buildings would be controlled by sensors and artificial intelligence capable of minimizing water consumption. Rainwater would also be collected and stored in two onsite lakes for irrigation of the park.  “Renaturing cities and gaining quality space for citizens is no longer just an interesting idea, it is a necessity,” said Jordi Fernández, co-founder of ON-A Architecture. “We are aware that cities must be re-naturalized, and that green provides unquestionable benefits for health, but the issue is not only green, the debate revolves around blue as well: the water . We cannot be green if that implies an excessive use of resources. The technology for the control of water consumption has come a long way and allows us to innovate and optimize green areas in urban spaces.” + ON-A Images via ON-A

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ON-A wants to renature Barcelona by greening the Camp Nou stadium

MIT moves toward greener, more sustainable artificial intelligence

May 15, 2020 by  
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While current  artificial intelligence  (AI) technology holds strategic and transformative potential, it isn’t always environmentally-friendly due to high energy consumption. To the rescue are researchers from Massachusetts Institute of Technology (MIT) , who have devised a solution that not only lowers costs but, more importantly, reduces the AI model training’s carbon footprint. Back in June 2019, the  University of Massachusetts at Amherst revealed  that the amount of  energy  utilized in AI model training equaled 626,000 pounds of carbon dioxide. How so? Contemporary AI isn’t just run on a personal laptop or simple server. Rather, deep neural networks are deployed on diverse arrays of specialized hardware platforms. The level of energy consumption required to power such AI technologies is approximately five times the lifetime  carbon emissions  from an average American car, including its manufacturing.  Related:  This AI food truck could bring fresh produce directly to you Moreover, both  Analytics Insight  and  Kepler Lounge  warned that Google’s AlphaGo Zero — the  AI  that plays the game of Go against itself to self-learn — generated a massive 96 tons of  carbon dioxide  over 40 days of research training. That amount of carbon dioxide equals 1,000 hours of air travel as well as the annual  carbon footprint  of 23 American homes! The takeaway then? Numbers like these would make AI model deployment both unfeasible and unsustainable over time. MIT’s research team has devised a groundbreaking automated AI system, termed a once-for-all (OFA) network, described in  their paper here . This AI system — the OFA network — minimizes  energy consumption  by “decoupling training and search, to reduce the cost.” The OFA network was constructed based on automatic machine learning (AutoML) advancements.  Essentially, the OFA network functions as a ‘mother’ network to numerous subnetworks. As the ‘mother’ network, it feeds its knowledge and past experiences to all the subnetworks, training them to operate independently without the need for further retraining. This is unlike previous AI technology  that had to “repeat the network design process and retrain the designed network from scratch for each case. Their total cost gr[ew] linearly … as the number of deployment scenarios increase[d], which … result[ed] in excessive energy consumption and  CO2  emission.” In other words, with the OFA network in use, there is little need for additional retraining of subnetworks. This efficiency decreases costs, curtails carbon emissions and improves  sustainability . Assistant Professor Song Han, of MIT’s Department of Electrical Engineering and Computer Science, was the project’s lead researcher. He shared that, “Searching efficient neural network architectures has until now had a huge carbon footprint. But we reduced that footprint by orders of magnitude with these new methods.” Also of particular interest was Chuang Gan, co-author of the MIT research paper, who added, “The model is really compact. I am very excited to see OFA can keep pushing the boundary of efficient deep learning on edge devices.” Being compact means AI can progress towards miniaturization. That could spell next-generation advantages in green operations that improve environmental impact. + MIT News Images via Pexels and Pixabay

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MIT moves toward greener, more sustainable artificial intelligence

Trend: The bots are coming (to ratings and reporting)

March 23, 2020 by  
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Corporate reporting on sustainability has grown more than fivefold in the past 10 years. Roughly 20 percent of S&P 500 companies published a sustainability report in 2011. In 2018, that number rose to 86 percent.

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Trend: The bots are coming (to ratings and reporting)

How Google.org accelerates social good with artificial intelligence

March 11, 2020 by  
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A conversation with Brigitte Hoyer Gosselink, who is helping the tech giant support emerging technologies that could make a positive impact in health, education, economic opportunity and empowerment, environmental protection and conservation.

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How Google.org accelerates social good with artificial intelligence

Startup accelerator spotlights bright ideas amid dark days

March 11, 2020 by  
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More and more entrepreneurs and investors are awakening to climate tech and its emerging opportunity.

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Startup accelerator spotlights bright ideas amid dark days

These gorgeous designs guard against flooding

March 11, 2020 by  
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Letting the water in poses no threat to these communities in these ingenious designs.

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These gorgeous designs guard against flooding

Welcome to the roaring 2020s, the artificial intelligence decade

January 2, 2020 by  
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The applications being made possible by breakthroughs in machine learning, image recognition, analytics and sensors are profoundly practical.

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Welcome to the roaring 2020s, the artificial intelligence decade

Welcome to the roaring 2020s, the artificial intelligence decade

January 2, 2020 by  
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The applications being made possible by breakthroughs in machine learning, image recognition, analytics and sensors are profoundly practical.

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Welcome to the roaring 2020s, the artificial intelligence decade

Entrepreneurs and government are teaming up to boost food security in the United Arab Emirates — and beyond

December 3, 2019 by  
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From vertical farms to fish caves, new technologies aim to boost food production and vanquish hunger.

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Entrepreneurs and government are teaming up to boost food security in the United Arab Emirates — and beyond

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