Solid Waste Management


China's ban on "foreign waste" may aid the spread of AI in the US

#artificialintelligence

Before getting a second life, metals, plastics, cardboard, and other solid recyclable materials often embark on a long journey that touches two continents. Every day, about 1,500 shipping containers of recycled materials are loaded onto cargo ships in the U.S. and dispatched to China. In fact, since 2007, recyclable waste has been one of the U.S.' main exports to China, a partnership that fueled the Asian nation's manufacturing boom. As China's economy increasingly shifts to services, reducing its dependence on the polluting manufacturing industry, its government is getting more serious about environmental protection. While recycling is obviously beneficial for the environment, practically nobody is perfect at it.


#156: Tensorflow, Machine learning 101, Performant Web Application and more - ImportPython Weekly Blog

@machinelearnbot

At Instagram, we have the world's largest deployment of the Django web framework, which is written entirely in Python. We began using Python early on because of its simplicity, but we've had to do many hacks over the years to keep it simple as we've scaled. Last year we tried dismissing the Python garbage collection (GC) mechanism (which reclaims memory by collecting and freeing unused data), and gained 10% more capacity. However, as our engineering team and number of features have continued to grow, so has memory usage. Eventually, we started losing the gains we had achieved by disabling GC.


Hazardous waste identified and sorted using simple barcodes

New Scientist

Because many processing facilities can't quickly identify the chemicals in this household waste, the items are often simply lumped together and incinerated – which is expensive. Their start-up, Smarter Sorting, has installed a barcode scanning system at four waste disposal sites in the US used by the public – in Austin, Texas; Salt Lake City, Utah; Portland, Oregon; and Mesa County, Colorado. "The machine goes'beep' and at that point the screen simply tells the worker, 'this is where you should place this item'," says Chris Ripley, who co-founded Smarter Sorting together with Charlie Vallely. Also testing the technology is Hope Petrie, hazardous materials manager at Mesa County Hazardous Waste Collection Facility, although she isn't yet using it to alter the way large numbers of items are processed.


knowledge-based system for assessing exposure to hazardous materials

AITopics Original Links

The Knowledge-based approach allowed the system to be implemented as three separate modules: inference engine, knowledge base, and user interface. Initially required to run under MS-DOS on a PC AT equivalent with 640K of RAM, a second release to run under Windows 3.1 reused the inference engine and knowledge base, requiring only a revised user interface. Enhancements made to the inference engine and the knowledge base were immediately available to both environments.


Human-robot gaming improves city waste management Springwise

#artificialintelligence

Software as a service platform Jodone's latest design makes sorting recyclables from trash faster, more efficient and ultimately, more profitable. Made for use with industry standard robots from multiple suppliers, the interface turns the acts of recognizing and categorizing recyclables into a game. As waste travels along a conveyer belt, workers swipe a touch screen to classify items as recyclable. As environmental standards rise and governments get tougher on industries and their waste management processes, Jodone sees gamification as key to both cost saving and improved working conditions.


Artificial intelligence: An MIT perspective

Classics

Full text not available. Volume 1: Expert Problem Solving, Natural Language Understanding and Intelligent Computer Coaches, Representation and Learning Volume II: Understanding Vision: Representing and Computing Visual Information; Visual Detection of Light Sources; Representing and Analyzing Surface Orientation; Registering Real Images Using Synthetic Images; Analyzing Curved Surfaces Using Reflectance Map Techniques; Analysis of Scenes from a Moving Viewpoint; Manipulation and Productivity Technology: Force Feedback in Precise Assembly Tasks; A Language for Automatic Mechanical Assembly; Kinematics, Statics, and Dynamics of Two-Dimensional Manipulators; Understanding Manipulator Control by Synthesizing Human Handwriting; Computer Design and Symbol Manipulation: The LISP Machine; Shallow Binding in LISP 1.5; Optimizing Allocation and Garbage Collection of Spaces; Compiler Optimization Based on Viewing LAMBDA as RENAME Plus GOTO; Control Structure as Patterns of Passing Messages.Cambridge, Mass.: MIT Press