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In our previous post, Transforming the physical world with AI: the next frontier in intelligent automation, we explored how the field of physical AI is redefining a wide range of industries including construction, manufacturing, healthcare, and agriculture. Now, we turn our attention to the complete development lifecycle behind this technology – the process of creating intelligent…

Artificial Intelligence (AI) is changing how businesses operate. Gartner® predicts at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028. And 92% of companies are boosting their AI spending, according to McKinsey. But here’s the problem: most companies are yet to realize a positive impact of AI on their…

Generative AI models continue to expand in scale and capability, increasing the demand for faster and more efficient inference. Applications need low latency and consistent performance without compromising output quality. Amazon SageMaker AI introduces new enhancements to its inference optimization toolkit that bring EAGLE based adaptive speculative decoding to more model architectures. These updates make…

For the latest episode of the Google AI: Release Notes podcast, host Logan Kilpatrick sat down with CEO Sundar Pichai last week to discuss the extraordinary progress — and future — of AI at Google. Sundar shared the thinking behind going “AI-first” all the way back in 2016, setting up key investments that led the…

On October 10, 2024, Amazon announced the discontinuation of the Amazon Lookout for Vision service, with a scheduled shut down date of October 31, 2025 (see Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision blog post). As part of our transition guidance for customers, we recommend the use of Amazon SageMaker AI tools…

Zoë Schiffer: Yeah, I think that one thing that everyone can agree on is that Nvidia is undoubtedly one of the companies that has gone all in during this AI acceleration moment. For better or worse, about 90 percent of Nvidia’s sales, which were once dominated by chips for personal gaming computers now come from…

By acting as a hugely efficient parallel processor, Ironwood excels at managing massive calculations and significantly minimizes the internal time required for data to shuttle across the chip. This breakthrough dramatically speeds up complex AI, making models run significantly faster and smoother across our cloud. And now, Ironwood is here for Cloud customers. Here are…

48 tips and prompts for holiday planning, travel and more Learn more about ways to use Google tools like Gemini, Google Photos, Search and more to get things done over the holidays. Source link

In 2025, generative AI has evolved from text generation to multi-modal use cases ranging from audio transcription and translation to voice agents that require real-time data streaming. Today’s applications demand something more: continuous, real-time dialogue between users and models—the ability for data to flow both ways, simultaneously, over a single persistent connection. Imagine a speech…