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Maxima Group, led by Salman Sorathia, received a 2025 Global Recognition Award for excellence in building materials. The ...
Construction is on its way to becoming greener. New research describes a method of creating building material that is not only carbon-neutral — meaning it does not produce any carbon emissions ...
Google was overshadowed a bit last week, releasing the new Gemini 2.5 Pro AI model while everyone was busy talking about GPT-4o image generation and its Studio Ghibli ripoffs. But Gemini Advanced ...
“With Gemini 2.5, we’ve achieved a new level of performance by combining a significantly enhanced base model with improved post-training. Going forward, we’re building these thinking ...
Google is rolling out a slew of new features — some powered by AI — across Search, Maps, and Gemini that are designed to help people plan their summer vacations. The new features arrive as ...
Gemini 2.5 Pro is Google DeepMind’s latest large-scale multimodal AI model, engineered with built-in “thinking” capabilities to handle complex tasks. As the first release in the Gemini 2.5 ...
However, most synthetic polymer materials are produced from petroleum and coal, and are not easily recycled. Furthermore, material processing and the dyeing of fabrics can result in excess water use ...
Because Gemini has a larger context window, it is a smarter chatbot. Just yesterday, Google announced the launch of Gemini 2.5, calling the chatbot the company’s most intelligent model yet.
Credit: Khamosh Pathak Press the button and wait for Gemini to begin its work. It can take anywhere between 3–5 minutes to generate your podcast audio, depending on the depth of the material.
Google and OpenAI are competing head-to-head to deliver the best native image generation model. After Google introduced native image generation in Gemini, OpenAI didn’t waste time and added support ...
Google highlights that it is “building these thinking capabilities directly into all of its models” to enable them to “handle more complex problems and support even more capable, context-aware agents.
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