Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Learning Classifier Systems (LCS) represent an innovative family of rule-based machine learning methodologies that combine reinforcement learning with evolutionary computing to produce adaptive, ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...

Strong data engineering practices—supported by governance frameworks, quality controls, and ethical safeguards—are what ensure reliability, scalability, and responsible use in real-world deployments ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Qubika has been recognized by Constellation Research as one of its inaugural AI-First Consulting Firms and named among just eight companies worldwide to receive the top-tier "AI Exponential" ...

Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...