Google has launched Gemma 4, which goes beyond chatbots and creates AI agents that can plan tasks, take actions on their own, generate code even without internet access, and process audio and video.

Or, why the software supply chain should be treated as critical infrastructure with guardrails built in at every layer.

The new family of AI models can run on a smartphone, a Raspberry Pi, or a data centre, and is free to use commercially.

Google patches 21 Chrome vulnerabilities, including an actively exploited zero-day flaw that could enable code execution and ...

Previous versions used a custom license that has been criticized as too restrictive. With Gemma 4, Google is moving to the Apache 2.0 license, which is much more permissive and widely used by ...

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean ...

Google links Axios npm supply chain attack to UNC1069 after trojanized versions 1.14.1 and 0.30.4 spread WAVESHAPER.V2, ...

A cyber attack hit LiteLLM, an open-source library used in many AI systems, carrying malicious code that stole credentials ...

Google launches Gemini 3.1 Flash Live, a real-time voice AI model with faster responses, natural dialogue, and built-in ...

Threat group TeamPCP exploited credentials stolen in the Trivy breach to push malicious versions of LiteLLM to PyPI, exposing ...

Demand for developers rises globally, driven by digital transformation Salaries and opportunities expand, including remote work for African talent Training options multiply across Africa, from ...

Securing dynamic AI agent code execution requires true workload isolation—a challenge Cloudflare’s new API was built to solve ...