Google Veo 3 Goes Wide, AI Cuts Energy 100x, and Brain MRI Diagnosis in Seconds
AI capabilities expanded on multiple fronts this week. Google opened its most advanced video generation model to the broader developer ecosystem, researchers demonstrated a 100x reduction in energy use with a hybrid AI model, and a university model achieved a 97.5% accuracy in reading brain MRIs.
AI capabilities expanded on multiple fronts this week. Google opened its most advanced video generation model to the broader developer ecosystem, researchers demonstrated a 100x reduction in energy use with a hybrid AI model, and a university model achieved a 97.5% accuracy in reading brain MRIs.
Google has made Veo 3, its most powerful video generation model, widely available through the Vertex AI platform, according to a statement from Google Cloud’s product integration team. This is a significant step beyond the previous generation of the model, which was positioned as a single-use product in its own right.
Veo 3 is now available on Vertex AI, which means developers can integrate it into their applications and workflows. This is a significant step beyond the previous generation of the model, which was positioned as a single-use product in its own right.
For startups building on Google Cloud, the Vertex AI platform provides a unique opportunity to leverage the latest advancements in AI technology. This week, Google also announced that it has made significant strides in reducing energy consumption with its hybrid AI model, achieving a 100x reduction in energy use.
Researchers at a Michigan university have developed a model that can read brain MRIs with an impressive 97.5% accuracy. This breakthrough could have significant implications for the field of medical diagnostics, allowing for faster and more accurate assessments of brain health.
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