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

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

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

Twenty—six letters, twelve months, and more twists than a season finale. That was 2025 in technology. Chinese AI labs ...

Discover how Kalshi Inc. leveraged AI technology to create a viral advertising campaign during the NBA finals, challenging ...

Google evaluated Gemini Deep Research’s capabilities using two benchmarks called HLE and DeepSearchQA. According to the ...

Robust.AI co-founder Rodney Brooks, a pioneering roboticist and co-creator of the widely selling Roomba robot vacuum, ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Google's Danny Sullivan says that all their ranking systems, including AI search, reward content that is written for humans.

The next great transformation may be the rise of networked minds, the merging of human and machine intelligence into distributed systems of shared cognition.