Tag: machine learning
UNEP and Google partner to hunt for plastic pollution with machine learning
Bangkok– The UN Environment Programme (UNEP) today announced that it is working to fight plastic pollution using citizen science and machine learning, with technical advisory support...
“Water is the New Fire”: Artificial Intelligence, Machine Learning, and Water Conservation
By Luke Carothers
Yaron Dycian describes himself as a serial entrepreneur. Over the last 30 years, Dycian has worked in fields ranging from cyber security...
MACHINE LEARNING IN MINERAL WELLS
City Uses Novel Techniques to Determine Stormwater Utility Rates
By Tak Makino
West of the Dallas-Fort Worth metroplex is a small city of approximately 15,000 people...
Pype Launches Revolutionary AI and Machine Learning Platform for Construction Drawings
SmartPlans, the third major offering from Pype, automates the process of extracting submittals and schedules from plans.
WASHINGTON - Pype, a leading software-as-a-service (SaaS) construction tech...
Call for Articles: Underground Engineering, March 2020
The Civil + Structural Engineer editorial team is calling for contributors for our upcoming March 2020 issue. The issue will be covering all topics...
First Annual Index Ranks Climate Impact of Transportation for 100 Largest U.S. Metro...
SAN FRANCISCO, CA – January 16, 2020 – According to the Environmental Protection Agency, burning fossil fuels for transportation is the top contributor to...
Predicting Output Variables
The Accuracy and Business Value of Machine Learning to Assess Water Main Infrastructure
By Doug Hatler
Municipal and investor-owned utilities often rely on subjective criteria to...
Is your engineering firm prepared for the AI revolution?
Artificial intelligence (AI) is changing industries across the board. By utilizing tons of data, the computer system can perform behaviors associated with human intelligence,...
Using Business Intelligence Software to Boost Profitability
Imagine making the right decision for your business every single time. Imagine everyone in your firm knowing what they are supposed to be working...
