Fulcrum announced a new AI-based, privacy-protecting capability within their no-code mobile application platform that automatically detects objects in photos that mobile workers collect in the field. In addition to leveraging information about physical assets to optimize workflows and performance reporting, customers can set Fulcrum to obscure any faces it detects using graphical blurring. Fulcrum enables mobile workers to take photos that document safety, quality, environmental, and other processes. By using AI to automatically detect objects in those photos, Fulcrum enables new flows of information based on the objects that are in the work environment.
In some cases, photographic data collected using Fulcrum meets the definition of personally identifiable information (PII) according to privacy regulations such as GDPR and CCPA. Photographic data can be among the most challenging to manage from a data privacy perspective. Photos aren’t intended to capture PII, but a face in a photo can be used to identify a specific person and therefore is considered PII as defined by most global privacy regulations. Fulcrum enables organizations to screen photos for faces automatically and blur them without manual effort. This screening takes place on the mobile device where the inspection or other data collection is taking place, ensuring that no unblurred faces are transmitted into the cloud or stored in a server.
Melax Technologies announced the release of LANN, a text annotation, natural language processing (NLP) product for AI-assisted, team-based projects. Based on NLP and artificial intelligence (AI) technology, Melax Tech’s text annotation capabilities combine automated machine learning workflows with client input to create high-quality annotated datasets. LANN is deployed in multiple use cases in the medical field, including phenotyping algorithms, clinical chart review, and drug repurposing. LANN was developed to assist users to comb through professional journals and literature to develop a myriad of projects, within the life sciences and across commercial and academic disciplines.
LANN’s functionality supports client projects by providing a rich array of team-based communication and sophisticated quality control tools. This allows teams to review results and make adjustments that result in superior annotation outcome. The resulting datasets provide high performance including use in downstream artificial intelligence or machine-learning applications. Standard and enterprise versions allow commercial and large-scale entities to build large-team projects, programs and custom solutions. With flexible pricing options, Melax Tech provides clients with the advantage to grow research projects over time affordably. Melax Technologies also announced that LANN is available at no cost for educational projects.