Researchers have created a way that will shed light on how machine-learning models produce predictions; presenting many approaches to comprehending how machine-learning models arrive at their responses.
The tool predicts cancer-causing genes and uses ML to classify genes into three types. Knowing the genes responsible for the initiation and progression of cancer can help determine the best therapy for an individual.
Developed by Australian students, researchers and industry professionals, DecaaS uses machine learning models to create highly realistic albeit fake versions of data and digital assets that are attractive to hackers.
As part of its efforts to help the legal industry move toward digitalisation, Singapore’s Ministry of Law has launched a Legal Technology Platform to Support LegalTech Adoption in SG’s Legal Industry.
The system is a multi-parameter optimisation and decision-making tool that will reduce the lifecycle costs to inspect, and maintain offshore oil platforms and establish a procedure to validate the fitness-for-service of the structure.
The computer vision start-up and UOW’s SMART Infrastructure Facility will share exclusive research and software development capabilities to drive smart video analytics innovations, including machine learning (ML) models and more.
Indonesia opened “Astana Veda,” its first IT Remote Office in Yogyakarta, to encourage digital platform development and foster digital talent; the third Digital Economy Working Group meeting focused on cross-border data flow.
Thailand’s “Tourist Police I Lert U” app provides 24-hour support, and the country’s first earth exploration satellite has arrived; while a university plans to develop Surat Thani Municipality into a smart city.