In this rapidly growing digital era, the evolution of Artificial Intelligence (AI) and Machine Learning (ML) from academic thought experiments to real-world dis ...

By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Explore how AI and data privacy are reshaping global business, driving innovation, and demanding agile, ethical governance ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

Ocean observation today is confronted with significant challenges, including limited adaptability to complex environments, low efficiency in handling ...

“By making AI more interpretable and robust, our work will help ensure that deep learning technology is not only powerful but ...

Our goal is to provide a federated learning framework that is both secure, scalable and easy-to-use. We believe that that minimal code change should be needed to progress from early proof-of-concepts ...