The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

ITWeb TV: Google on localisation quest, says SA boss By Simnikiwe Mzekandaba, IT in government editorJohannesburg, 17 Apr 2026Google South Africa country director Kabelo Makwane details the internet ...

In 2023, researchers did something that sounds like it belongs in a Pixar movie: they decoded a humpback whale’s “hello” and ...

The U.S. tech giant Palo Alto Networks is one of the few companies selected by the AI firm Anthropic to participate in the ...

Linguists can mix, match or even break the rules of real-world languages to create interesting imaginary ones.

Dubai-based Camb.AI focuses on speech synthesis and translation for media dubbing. Palabra, backed by Reddit co-founder ...

Benchmarking four compact LLMs on a Raspberry Pi 500+ shows that smaller models such as TinyLlama are far more practical for local edge workloads, while reasoning-focused models trade latency for ...

AI models are rapidly improving in rare languages through shared learning patterns ...