Scientists at the City, University of London (CITY UL) developed a technology that enables a fraud detection in insurance using algorithm based text analysis. This is an innovative text mining tool which supports insurance providers in identifying claims with deliberate deceiving information. This technology assists insurance providers to focus resources eﬃciently in investigating claims classified automatically as deceitful. Furthermore, the algorithm can be integrated into an automated scan system that scans texts/emails and assigns a probability for deceitful intentions. The default detection accuracy is of 67% which can be improved through the identification of context specific terms in a small in-house follow-up project.
A physical model that can more reliably predict soot and smoke emissions from wildfires over a range of conditions has been developed by the researchers at Brigham Young University (BYU). The smoke that you see from wildfires is a combination of evolved gases and soot. Recent wildfires in California and Utah have caused Utah’s air quality to tank for several days this August, reaching orange and even red levels for long stretches. Orange days are unhealthy for sensitive groups while red-level days are considered unhealthy to all people and can result in serious health effects for children or older individuals. The BYU-developed model uses detailed physics-based formulas to predict the initial formation of soot particles emitted during wildfires.
A model that precisely characterizes the material in each pixel of an image taken from a long-wave infrared camera has been developed by the researchers at Brigham Young University (BYU). The U.S. National Nuclear Security Administration funded the project through a grant awarded to BYU engineering professor Gustavious Williams. The government’s long-term goal for infrared technology is to remotely detect the exact materials, chemicals and gases coming and going from factories or other sites suspected of illegal nuclear production. The team tested their new method of analyzing infrared images with more basic materials using data taken by Lawrence Livermore National Laboratory.
A new study that can identify which landscapes are resilient enough to handle the rigors of farming and which are vulnerable to leaching toxic residue into waterways has been conducted by the researchers at Brigham Young University (BYU). In recent years, stunning satellite images show toxic algal blooms across the world, including Lake Erie, the Baltic Sea, and the Yellow Sea. In fact, according to a recent publication in Science, nutrient pollution is the second greatest environmental threat to humanity, with economic damages from the issue costing up to $2.3 trillion annually. New research led by Brigham Young University ecosystem ecologist Ben Abbott presents a new tool to fight this global crisis.
Keeping electronic communication private has become increasingly important and diﬃcult when mobile messaging is now commonplace. While hiding the contents of a conversation is easy with encryption, hiding the associated metadata (who is communicating with who) remains a challenge, especially if one cannot trust ISPs or proxy servers. However, a researchers group at the City, University of London (CITY UL) has conceptualised a private and anonymous communication system called CofDrop to address the rising concern over privacy.
Mammoth Biosciences is a biotechnology company that develops the CRISPR-based platform for diagnostics, democratizing access to an endless variety of tests for biosensing in healthcare, as well as across industries such as agriculture, manufacturing, forensics, and more. It is on a mission to leverage the power of CRISPR to democratize disease detection by bringing accurate and affordable testing out of the laboratory and into the point-of-care. The company is co-founded by CRISPR pioneer Jennifer Doudna, Stanford PhDs Trevor Martin and Ashley Tehranchi, and Berkeley PhD students Janice Chen and Lucas Harrington. It was established in 2017 and is based in San Francisco, California. The company has raised $24.5 M in Series A round.