Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
Integrated Cyber Solutions Inc. (CSE: ICS) (OTCQB: IGCRF) (FSE: Y4G) dba Integrated Quantum Technologies (“IQT” or the ...
AI drug discovery startup Converge Bio raised $25 million in a Series A led by Bessemer Venture Partners, with additional ...
Weighing innovation, reputation, business value, cost, integration overhead, and peer use, among other criteria, CISOs list ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
TG4050 elicits strong polyepitopic, polyclonal, durable cytotoxic and effector neoantigen-specific CD8 T cell responses Results reinforce TG4050 ...
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Top cybersecurity risks of 2026: Issues and solutions
By Ojo Emmanuel AdemolaThe year 2026 stands as a watershed moment for global cybersecurity leadership. Threat actors have ...
Introduced at Ignite late last year, Azure HorizonDB is a new PostgreSQL service designed for higher performance and ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
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