Search

The Devin AI controversy highlights the importance of healthy skepticism in the tech industry, particularly concerning advancements in AI.

In the present day, when the population is constantly growing, when we are faced with epidemics and various diseases, modern health systems are under great pressure, especially the first line of health systems - patient triage.

Mistral, a scrappy French startup, is emerging as Europe's best shot at challenging the dominance of tech giants like OpenAI and Google in the fast-moving AI industry.

As the AI revolution continues to gather momentum, with computing demands growing exponentially, a critical question emerges: does this technological advancement represent a threat or an opportunity for our planet?

fter years of deliberation, the European Union has taken a monumental step towards regulating the rapidly evolving field of artificial intelligence. On March 13, 2024, the European Parliament formally adopted the AI Act, a landmark piece of legislation that establishes the world's first comprehensive legal framework governing AI systems.

In the rapidly evolving landscape of artificial intelligence (AI), open-source models have emerged as a driving force, democratizing access to cutting-edge technology and fostering a collaborative ecosystem of innovation.

OpenAI has unveiled GPT-4o ("o" for "omni"), a significant step towards much more natural human-computer interaction. GPT-4o is a groundbreaking AI model that accepts any combination of text, audio, and image inputs and generates corresponding outputs in text, audio, or image formats.

Large Language Models (LLMs) like GPT, Gemini, Claude, and LaMDA are rapidly evolving, each with its strengths and weaknesses. A/B testing allows us to compare their performance in different use cases and identify the most suitable model for specific tasks.

The term "AI agent" is used inconsistently across academic and industrial contexts, creating conceptual ambiguity that complicates enterprise decision-making. This article proposes a structured three-dimensional framework for interpreting AI systems along the axes of agentic behavior, learning capability, and context of application. Supported by empirical evidence from the Measuring Agents in Production study, it provides a conceptual foundation for accurately situating agent-based systems within organizational environments.

A real-world benchmark of Bloomteq's AI-assisted migration methodology - measured against traditional manual approaches on a regulated fintech compliance service.