A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
CAMPBELL, Calif., Feb. 19, 2026 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management, today announces Komprise AI Preparation & Process Automation (KAPPA) data ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Next-Generation Productivity with Agentic Data Prep: Agentic Data prep will allow analysts to chat in natural language to profile datasets, generate queries, and troubleshoot complex schemas ...
Despite widespread adoption of electronic health records (EHRs), health systems remain heavily dependent on faxed documents for critical patient information. At New York University Langone Health, ...
Over 260,000 users installed fake AI Chrome extensions that used iframe injection to steal browser and Gmail data, exposing ...
Google says threat actors launched 100,000+ model extraction attacks against Gemini, attempting to reverse engineer its AI logic and training data.
Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...
Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
Abstract: The adoption of data-driven Digital Twins in smart manufacturing systems necessitates robust, data-driven modeling techniques. Stochastic Petri nets offer a formal framework for capturing ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...