Machine learning
Pune-based Kapittx, a provider of accounts receivable automation solutions, has launched a new AI-powered capability designed to accelerate and simplify the cash application process for finance teams. The update aims to reduce Days Sales Outstanding (DSO), improve accuracy, and increase operational efficiency across finance departments managing high transaction volumes. The
Artificial intelligence
A recent research paper presented by the University of Surrey's Centre for Vision, Speech, and Signal Processing has introduced a novel approach to image captioning, a crucial task in computer vision and natural language processing. The study proposes a multi-layer gated recurrent unit (ML-GRU) within the conventional recurrent
Machine learning
Researchers from Pontifical University Javeriana in Bogota, Colombia, have developed and validated three machine learning models combined with Natural Language Processing (NLP) techniques to accurately identify graft loss in Electronic Medical Records (EMRs) of kidney transplant recipients. The study analyzed 2712 patients transplanted between July 2008 and January 2023, examining
Machine learning
A team of researchers has developed a generative artificial intelligence (AI) tool, NanoSafari, to automatically extract knowledge from the biomedical nanoscience literature and address scientific queries. The tool, which uses the Grouped Iterative Validation based Information Extraction (GIVE) method, was able to extract contextual information on nanoparticle characteristics from 20,
Machine learning
Researchers from Comillas Pontifical University have developed a system using machine learning and natural language processing (NLP) to detect gender bias in job advertisements. The system, which combines NLP with Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA), analyzes the language used in job postings to identify words
Machine learning
A CLARA Analytics study on insurance fraud detection has demonstrated that advanced analytical methods can identify potential fraud indicators just two weeks after a claim is filed, significantly earlier than traditional methods. The research, completed in November 2024, analyzed 2,867 claims from 2020 to 2024 using an unsupervised machine
Artificial intelligence
The Artificial Intelligence (AI) in clinical trials market is expected to experience significant growth, driven by the increasing global burden of chronic diseases, significant investments in drug discovery and development, and technological advancements in software and services. The market is projected to reach $3.33 billion by 2032, reflecting a
Machine learning
Google Cloud Platform's high-performance computing and AI/ML customers demand impressive performance at competitive prices, as stated by Dean Hildebrand, Technical Director, Office of the CTO, Google Cloud. Sycomp's Intelligent Data Storage Platform has achieved a milestone innovation by delivering 1.2 TB per second of
Machine learning
The clinical decision support systems market is expected to experience significant growth, driven by the rising adoption of healthcare IT solutions, increasing demand for better clinical outcomes, and concerns over medication errors and patient safety. The global market, valued at $2.25 billion in 2024, is forecasted to grow at
Machine learning
The decision intelligence market is expected to experience significant growth, driven by the increasing demand for data-driven decision-making solutions. The market is anticipated to expand at a compound annual growth rate (CAGR) of 24.7% from USD 13.3 billion in 2024 to USD 50.1 billion in 2030. Enhancements
Artificial intelligence
Sanofi and Regeneron will collaborate with Viz.ai on an AI-powered care improvement solution for patients with high-risk chronic obstructive pulmonary disease (COPD). The partnership aims to evaluate the Viz COPD module, which uses artificial intelligence (AI) and electronic health record (EHR) data to advance the detection and management of
Artificial intelligence
The global AI sensor market is projected to experience significant growth, driven by increasing adoption of edge computing, AI sensor-based wearables, and the development of smart infrastructure. The market is expected to reach an estimated $17.6 billion by 2030, growing at a compound annual growth rate (CAGR) of 27.
