Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...
Abstract: With the rapid development of the smart grid relying on communication and computer science technology, its vulnerabilities to intentional cyber-attacks are also exposed to cyber-attackers.
The technical failure coincided with TikTok’s ownership transition, leading users to question whether videos criticizing ICE ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Abstract: This paper presents an advanced AI-based code auto-completion system tailored for Data Structures and Algorithms (DSA) problem-solving. Our system integrates a hierarchical model combining ...
Have you stood in front of an ancient monument and experienced a sense of wonder, as though the building itself was whispering secrets of the cosmos? From Egypt's towering pyramids to Europe's ...
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