Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
The Economist

AI models are being prepared for the physical world

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
The Independent

Raw data, refined elsewhere

The Infrastructure gap threatening Uganda’s AI Independence Kampala, Uganda | IAN KATUSIIME |  For Uganda, a nation with a ...
Hubbis

AI, Advice Commoditisation, and the Next Operating Model in Indian Wealth

As AI adoption accelerates across financial services, Indian wealth managers are increasingly viewing the technology less as a distant disruption and more as an immediate operating lever. In a recent ...
The Economist

To navigate physical spaces, AIs need world models

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Opinion

India is betting big on data centres but is this the best path to success with artificial intelligence?

A proliferation of data centres may serve some purposes, but it's unlikely to help India achieve AI sovereignty. That path is far steeper. We need homegrown AI chips, original models and actual ...
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Hacker used Anthropic’s Claude to steal sensitive Mexican data

The unknown Claude user wrote Spanish-language prompts for the chatbot to act as an elite hacker, finding vulnerabilities in government networks, writing computer scripts to exploit them and ...

Anthropic Tool Calling Updates Cut Tokens 30–50% in Multi-Step Agent Tasks

Anthropic updates tool calling to reduce token use; tool search cuts tokens up to 80%, making larger tool sets practical.
Data Center Frontier

Aeroderivative Turbines Move to the Center of AI Data Center Power Strategy

Aeroderivative turbines built on aircraft-engine cores are emerging as a fast-track response to AI-era grid delays, offering high-density, scalable power but bringing new ...

Making sense of a chaotic planet: How understanding weather and climate risks depends on supercomputers like NCAR’s

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the climate might evolve under different policies? The Earth system is a vast ...
Psychology Today

Debugging Overconfidence: Is AI Too Sure of Itself?

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.