Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
In the rapidly evolving digital landscape of 2026, the battle between cybercriminals and security experts has shifted to a new frontier: Data. As financial tech ...
Where AI is shaping experience, we need a research approach resembling stewardship of the human experience, says Kate Charles.
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Ten MarTech trends shaping brand growth in 2026—from generative AI and data unification to privacy-first personalization, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Lotfy, A. (2026) A Digital Accounting Framework for Enhancing Solvency and Financial Evaluation in Non-Bank Financial ...
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
As pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
New "Prism" workspace launches just as studies show AI-assisted papers are flooding journals with diminished quality.
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
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