We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

A new study reveals an alarming bias present in four leading AI cancer screening tools, related to race, gender, and age.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

The trend toward the software-defined vehicle is undisputed. But how fast will this development unfold? The answer may ...

Jumia is leveraging its logistics network and local expertise to build a defensible e-commerce and fintech moat across Africa ...