News from the AI & ML world

DeeperML - #googlecloud

Ellie Ramirez-Camara@Data Phoenix //
Google's Gemini app is now offering a powerful new photo-to-video feature, allowing AI Pro and Ultra subscribers to transform still images into dynamic eight-second videos complete with AI-generated sound. This enhancement, powered by Google's advanced Veo 3 AI model, has already seen significant user engagement, with over 40 million videos generated since the model's launch. Users can simply upload a photo, provide a text prompt describing the desired motion and any audio cues, and Gemini brings the image to life with remarkable realism. The results have been described as cinematic and surprisingly coherent, with Gemini demonstrating an understanding of objects, depth, and context to create subtle camera pans, rippling water, or drifting clouds while maintaining image stability. This feature, previously available in Google's AI filmmaking tool Flow, is now rolling out more broadly across the Gemini app and web.

In parallel with these advancements in creative AI, Google Cloud is enabling companies like Jina AI to build robust and scalable systems. Google Cloud Run is empowering Jina AI to construct a secure and reliable web scraping system, specifically optimizing container lifecycle management for browser automation. This allows Jina AI to efficiently execute large models, such as a 1.5-billion-parameter model, directly on Cloud Run GPUs. This integration highlights Google Cloud's role in providing the infrastructure necessary for cutting-edge AI development and deployment, ensuring that organizations can handle complex tasks with enhanced efficiency and scalability.

Furthermore, the broader impact of AI on the technology industry is being underscored by the opening of the 2025 DORA survey. DORA research indicates that AI is fundamentally transforming every stage of the software development lifecycle, with a significant 76% of technologists relying on AI in their daily work. The survey aims to provide valuable insights into team practices and identify opportunities for growth, building on previous findings that show AI positively impacts developer well-being and job satisfaction when organizations adopt transparent AI strategies and governance policies. The survey encourages participation from technologists worldwide, offering a chance to contribute to a global snapshot of the AI landscape in technology teams.

Share: bluesky twitterx--v2 facebook--v1 threads


References :
  • chromeunboxed.com: I just tried Gemini’s new photo-to-video feature, and I’m blown away
  • Shelly Palmer: Google’s Gemini Can Now Turn Your Photos Into Videos
  • Data Phoenix: Google now offers a photo-to-video feature for Veo 3 through the Gemini app
  • The Tech Basic: Google Expands Veo 3 Capabilities with Photo to Video Feature in Gemini App
Classification:
@cloud.google.com //
Google Cloud is enhancing its AI Hypercomputer to accelerate AI inference workloads, focusing on maximizing performance and reducing costs for generative AI applications. At Google Cloud Next 25, updates to AI Hypercomputer's inference capabilities were shared, showcasing Google's newest Tensor Processing Unit (TPU) called Ironwood, designed for inference. Software enhancements include simple and performant inference using vLLM on TPU and the latest GKE inference capabilities such as GKE Inference Gateway and GKE Inference Quickstart. Google is paving the way for the next phase of AI's rapid evolution with the AI Hypercomputer.

Google's JetStream inference engine incorporates new performance optimizations, integrating Pathways for ultra-low latency multi-host, disaggregated serving. The sixth-generation Trillium TPU exceeds throughput performance by 2.9x for Llama 2 70B and 2.8x for Mixtral 8x7B compared to TPU v5e. Google’s JAX inference engine maximizes performance and reduces inference costs by offering more choice when serving LLMs on TPU. JetStream throughput is improved, achieving 1703 token/s on Llama 3.1 405B on Trillium.

Google is also intensifying its efforts to combat online scams by integrating artificial intelligence across Search, Chrome, and Android. AI is central to Google's anti-scam strategy, blocking hundreds of millions of scam results daily and identifying more fraudulent pages. Gemini Nano provides instant detection of high-risk websites, helping counter new and evolving scams across platforms. Google has long used AI to detect and block scams, including fake tech support, fraudulent financial services, and phishing links. Recent updates to AI classifiers now allow the company to detect 20 times more scam pages, improving the quality of search results by reducing exposure to harmful sites.

Share: bluesky twitterx--v2 facebook--v1 threads


References :
  • Compute: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer
  • github.com: To maximize performance and reduce inference costs, we are excited to offer more choice when serving LLMs on TPU, further enhancing JetStream and bringing , a widely-adopted fast and efficient library for serving LLMs.
  • blog.google: blog.google
  • cloud.google.com: Accelerating AI inference with Google Cloud TPUs and GPUs
Classification: