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Amazon’s Alexa Gets Smarter: AI-Powered Alexa+ Launches in Australia

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Amazon has officially launched Alexa+ in Australia, bringing its generative AI-powered virtual assistant to local Echo devices. Moving beyond basic voice triggers, setting kitchen timers, and answering surface-level queries, Alexa+ represents a complete overhaul aimed at making smart home interaction far more natural, intuitive, and action-oriented. Powered by Amazon Bedrock and advanced large language models (LLMs), Alexa+ is designed to behave less like a command-line interface and more like a conversational assistant.  * Natural Conversation & Context Tracking: You no longer need to speak in rigid, robotic phrases. Alexa+ can process mid-sentence pauses, stumbles, and multi-step requests without requiring a repeated wake word for every follow-up question.  * Localised Australian Personality: Tailored specifically for Aussie households, the local engineering and linguistics teams trained Alexa+ to understand Aussie slang, idioms (from "arvo" to "snags...
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Project G-Assist

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NVIDIA has officially launched Project G-Assist, an AI assistant designed to enhance the PC experience for gamers and creators alike. 

Initially teased as an April Fool's joke in 2017, G-Assist has now become a reality, offering a suite of features aimed at optimizing system performance and user convenience. 

G-Assist provides real-time diagnostics to identify and alleviate system bottlenecks, improve power efficiency, and optimize game settings. Users can request performance metrics such as FPS, latency, GPU utilization, and temperature, and receive tailored recommendations.

The assistant can manage settings for supported peripherals from brands like Logitech G, Corsair, MSI, and Nanoleaf, allowing users to adjust lighting and fan speeds through simple commands. 

Unlike cloud-based AI models, G-Assist operates entirely on-device using a Llama-based Small Language Model (SLM) with 8 billion parameters. This ensures responsive performance without the need for an internet connection or subscription.

System Requirements:

To utilize G-Assist, users need a GeForce RTX 30, 40, or 50 Series Desktop GPU with at least 12GB of VRAM, running on Windows 10 or 11. The installation requires 6.5GB of disk space for the System Assistant and an additional 3GB for Voice Commands. 

Project G-Assist is available for download through the NVIDIA app's Discover section. Once installed, users can activate the assistant by pressing Alt+G. As an experimental feature, NVIDIA welcomes user feedback to guide future improvements and feature developments. 

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