Category Archives: Innovation

03Dec/25

Google is relying on its own chips for its AI system Gemini. Here’s why that’s a seismic change for the industry

Alaa Mohasseb, University of Portsmouth

For many years, the US company Nvidia shaped the foundations of modern artificial intelligence. Its graphics processing units (GPUs) are a specialised type of computer chip originally designed to handle the processing demands of graphics and animation. But they’re also great for the repetitive calculations required by AI systems.

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24Nov/25

Siemens Industrial AI Tech Keynote at CES 2026

The upcoming keynote address at CES 2026 by Siemens AG President and CEO, Roland Busch is scheduled to present on AI-powered industrial technologies that will significantly transform sectors like manufacturing, infrastructure, and transportation. The Consumer Technology Association (CTA), the organiser of CES, praises Siemens’ leadership in applying Artificial Intelligence (AI) and digital twin technology to industrial environments. The release highlights Siemens’ role as a global leader in industrial AI, detailing how the company is leveraging its expertise and data to scale these innovations for societal and industrial benefit. The keynote will take place on Tuesday, January 6, 2026, and Siemens will also have an exhibition booth and a mobile experience centre at the event. Continue reading 

24Nov/25

Gemini 3, Nano Banana Pro, and Google Antigravity Launch

Nov. 24, 2025 /Mpelembe Media/ — Google Cloud announced three significant product launches for enterprise customers: Gemini 3, Google Antigravity, and Nano Banana Pro. Gemini 3 is highlighted as a powerful multimodal model capable of understanding complex data, boosting developer productivity through “vibe coding” and agentic capabilities, and providing concise insights for business tasks. The post also introduces Google Antigravity, a new agentic development platform that allows developers to operate at a higher, task-oriented level using Gemini 3’s advanced reasoning. Furthermore, Nano Banana Pro, built on Gemini 3, is presented as a state-of-the-art tool for image generation and editing that enhances creative control, supports localized campaigns, and integrates seamlessly into existing workflows. Continue reading

20Nov/25

Dreame TV Launches Aura Mini LED and Soundbar Series

Dreame is expanding from smart household appliances into the television market with the introduction of its new Mini LED TV series. Dreame TV, developed under Shenzhen Televi Intelligent Technology Co., Ltd., is entering the global stage after exhibitions at events like IFA and the Canton Fair, with a planned showing at CES 2026. Key features highlighted include the V3000 and S100 models, which boast advanced Aura Mini LED display technology, high brightness levels, QLED+ colour support, and integrated, high-performance Dolby Atmos soundbars. These new products signify Dreame’s strategic move to create an integrated smart home ecosystem focused on superior audiovisual experiences. Continue reading

15Nov/25

Milestone Developer Summit: Innovating Video Intelligence with AI

Milestone Systems details a recent Developer Summit and Hackathon held in Copenhagen, Denmark. The event focused on innovation in video intelligence and the development of safer, more efficient video technology, particularly using Milestone’s upcoming Vision Language Model (VLM), which is powered by NVIDIA and trained on ethically sourced video data. The release highlights the importance of an open platform ecosystem for future technological advancements, featuring speakers from companies like NVIDIA and AWS. The core of the text announces the winners of the Hackathon, where developer Thomas Kreutz won for his application “Ask The City,” which turns live city camera footage into instant, privacy-aware answers to real-time questions, demonstrating the practical potential of the new generative AI and VLM tools being integrated into Milestone’s XProtect Video Management Software. Continue reading

02Nov/25

AI Classification for Google Drive Security

Nov. 2, 2025 /Mpelembe Media/ — The white paper from Google outlines their AI Classification for Google Drive solution, which uses custom, privacy-preserving AI models to automatically identify and label an organisation’s sensitive data at scale. The document explains that this capability addresses the challenge of manually classifying the exponentially increasing volume of data in Google Workspace, providing a more robust foundation for data protection, auditing, and records management. Continue reading

01Nov/25

Google AI Studio: Vibe Coding Innovation

Nov. 1, 2025 /Mpelembe Media/ — Google Cloud  announced major updates to the Google AI Studio platform, focusing on making app development faster and more accessible. The Google Cloud introduces “Vibe coding,” a new feature designed to allow users to build working, AI-powered prototypes simply from a single text prompt, dramatically reducing the time required compared to traditional methods. Continue reading

Gemini Enterprise: Empowering Workflows with Google AI Agents

Oct. 31, 2025 /Mpelembe Mdia/ — This is an overview of Gemini Enterprise, a platform designed to integrate Google AI capabilities into enterprise workflows. This secure platform aims to overcome limitations imposed by siloed applications by empowering employees to discover, create, share, and run AI Agents. Continue reading

30Oct/25

Google Workspace: A Guide for Using AI at Work

Oct. 29, 2025 /Mpelembe Media/ — The Google Workspace guide details the integration and benefits of Artificial Intelligence (AI) across its suite of work applications. It asserts that Google is leading AI innovation and helping organisations enhance human potential through features built for security and scale. Continue reading

29Oct/25

Startup Technical Guide: Building AI Agents on Google Cloud

Oct. 29, 2025 /Mpelembe Media/ — This document provides a comprehensive technical guide for startups and developers focused on building, deploying, and scaling AI agents on the Google Cloud ecosystem. It details the core components of agentic systems, including model selection, the use of tools for action, and various data architectures for agent memory. Continue reading