Introduction Artificial intelligence (AI) and machine learning (ML) systems are becoming increasingly integral to decision-making processes across various industries, inc...
Artificial Intelligence has moved past its earlier, more passive role of assisting with data processing and predictions. Today, it’s entering a more autonomous, goa...
Interview w/ Mike Spaeth, VP of United States AI Institute The phrase “AI skills gap” gets thrown around so often that it risks becoming background noise. O...
With explainable AI, intuitive parameters easy to fine-tune, versatile, robust, fast to train, without any library other than Numpy. In short, you have full control over ...
The relatively recent capacity for front-end users to interface with backend systems, documents, and other content via natural language prompts is producing several notab...
AI has radically changed Quality Assurance, breaking old inefficient ways of test automation, promising huge leaps in speed and the ability to test things we otherwise co...
This book opens up new research areas in theoretical and computational number theory, numerical approximation, dynamical systems, quantum dynamics, and the physics of num...
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the ba...
Discover how Geometric Deep Learning revolutionizes AI by processing complex, non-Euclidean data structures, enabling breakthroughs in drug discovery, 3D modeling, and ne...
Whether launching a new product or changing an existing one, decision-makers are relying on data more heavily than ever. Today, we can track customer behavior, competitor...