There is constant chatter surrounding the promise of generative AI, agentic AI, and – eventually – artificial general ...
One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
Abstract: In the modelling of distributed systems, most Model of Computations (MoCs) rely on blocking communication to preserve determinism. A prominent example is Kahn Process Networks (KPNs), which ...
Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...
The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised Windows systems. LameHug was discovered by Ukraine’s national cyber ...
Abstract: This study introduces a robust planning framework that utilizes a model predictive control (MPC) approach, enhanced by incorporating signal temporal logic (STL) specifications. This marks ...
Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of DAMA International’s “Data Management Body of Knowledge” (the DAMA DMBoK). i ...
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