How to launch an AI startup in 2025
You have plenty of experience. Maybe you are over 40, or fresh out of college, and you realize that there is no tech job out there. More precisely, 1000 applicants for an...
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How AI is transforming financial forecasting for SMBs and enterprises
Perspectives from various industries. Financial forecasting has long been a cornerstone of strategic planning, essential for managing liquidity, budgeting accurately, and...
Ethics-driven model auditing and bias mitigation
Introduction Artificial intelligence (AI) and machine learning (ML) systems are becoming increasingly integral to decision-making processes across various industries, inc...
How agentic AI reshapes your development
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...
Closing the AI skills gap
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...
How to Build and Optimize High-Performance Deep Neural Networks from Scratch
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 ...
Revamping enterprise content management with language models
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...
How to make AI work in QA
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...
New Book: 0 and 1 – From Elemental Math to Quantum AI
This book opens up new research areas in theoretical and computational number theory, numerical approximation, dynamical systems, quantum dynamics, and the physics of num...
How to design LLMs that don’t need prompt engineering
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...