Solid Waste Management


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.


207771-idle-time-garbage-collection-scheduling

Communications of the ACM

The garbage collector interrupts the application to pass over the memory allocated by the application, determine live memory, free dead memory, and compact memory by moving objects closer together. Since most objects typically die young, this generational strategy enables the garbage collector to perform regular, short garbage collections in the small young generation, without having to trace objects in the large old generation. To avoid such long pauses, V8 marks live objects incrementally in many small steps, pausing only the main thread during these marking steps. Performing minor garbage collections during idle time can reduce jank; however, being too proactive in scheduling a minor garbage collection can result in promotion of objects that could otherwise die in a subsequent non-idle minor garbage collection.


The New Artificial Intelligence Market

#artificialintelligence

IN 2004, IN THE MAZE-LIKE aisles of Stanford's computer science department, I spoke to a man who resembled Santa Claus. I was a graduate student studying natural language processing, and AI wasn't as cool as it is today. Quite rapidly, AI moved from the labs of computer science departments and failed research attempts into the real world. This report aims to cover the current market of AI and its commercial adoption beyond the academic labs into industry.


Massive breakthrough could solve our nuclear waste problem

#artificialintelligence

According to a report from Business Standard, however, scientists from the DOE/Lawrence Berkeley National Laboratory have made a breakthrough finding that could lead to a viable solution to this lingering problem. A team of scientists has developed a new material that can clean up nuclear waste gases created as a byproduct of fuel reprocessing plants. Researchers believe the material will be able to absorb gases like xenon and krypton, which are both emitted as byproducts of nuclear fuel reprocessing. A press release from the Lawrence Berkeley National Laboratory describing the details of the study can be found here.


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

The broad range of material included in these volumes suggests to the newcomer the nature of the field of artificial intelligence, while those with some background in AI will appreciate the detailed coverage of the work being done at MIT. The results presented are related to the underlying methodology. Each chapter is introduced by a short note outlining the scope of the problem begin taken up or placing it in its historical context. Contents, 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.