Paper & Forest Products


Robotic collaboration in timber construction

Robohub

NCCR Researchers are using a new method for digital timber construction in a real project for the first time. The load-bearing timber modules, which are prefabricated by robots, will be assembled on the top two floors at the DFAB HOUSE construction site. Digitalisation has found its way into timber construction, with entire elements already being fabricated by computer-aided systems. The raw material is cut to size by the machines, but in most cases it still has to be manually assembled to create a plane frame. In the past, this fabrication process came with many geometric restrictions.


974

AI Magazine

Moreover, the system was designed from the beginning to be maintained on an ongoing basis without the involvement of senior knowledge engineers. In the manufacture of paper, wood is first pulped to separate its fibers. One of the predominant pulp processes is done in a kraft pulp mill and consists of cooking wood chips at elevated temperature and pressure in the presence of certain chemicals (alkali and sulfide), washing the resultant brown pulp, bleaching to make the pulp white, and drying the pulp for shipment to a paper mill. Pitch, or wood resin, is the material in wood that is insoluble in water but soluble in organic solvents. It usually makes up 14 percent of the weight of wood after the bark is removed and is often a sticky material.


The learning curve: From the Internet to Big Data to IoT - Industrial Internet Now

#artificialintelligence

Mikko Marsio, Vice President of Digital Business and IoT at Empower group, says that what has unfolded over the past two decades and led companies to where they are today can be understood as both an evolution from a technological perspective, as well as a revolution from an industry and business perspective. From the speculative nature of the IT bubble, to the profoundness of the Internet of Things, Marsio explains how consolidating technology with business is now more imperative than ever before. "I remember a prediction that was made before I attended an MIT Executive Education course on the Internet in 2000. It envisioned the Internet becoming like electricity, meaning something that we don't even acknowledge when using," Marsio reminisces. "If you look at what was laid out in 2000 in conjunction with the IT bubble – for example that the best years for the pulp and paper industry were then and there – no one could actually have predicted how many paper mills would be shut down over the following 15 years.


White paper: Making the business case for text analytics

@machinelearnbot

Unstructured data is the most prevalent form of information on the planet. It exists in our e-mails, surveys, social media accounts, call center logs, etc. With a strong text analytics strategy in place, companies can get critical information from this data to drive better business decisions.


Vitorr

#artificialintelligence

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.


Outwitting Poachers with Artificial Intelligence

#artificialintelligence

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.


How artificial intelligence can be used to prevent wildlife poaching

#artificialintelligence

With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Outwitting poachers with artificial intelligence

#artificialintelligence

With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Outwitting poachers with artificial intelligence

#artificialintelligence

With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Agent-Based Cooperative Scheduling

AAAI Conferences

Cooperative scheduling is concerned with integrating multiple problem-solving perspectives or objectives when generating solutions to a scheduling problem. Cooperation may involve interactions between humans,, between scheduling agents, or between humans and agents. The purpose of this paper is to focus on the later two types of cooperation in which a team of software-based asynchronous agents play a majorole in identifying candidate scheduling alternatives. This so-called A-Team architecture is at the heart of a set of decision-support tools that employ cooperative scheduling techniques for scheduling the operations of real-world paper manufacturing facilities. The IBM Paper Mill Scheduling System was developed at the IBM T.J. Watson Research Center over the past couple of years and is currently being sold worldwide.