Author: AI Generated Robotic Content

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of …

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We are in the midst of an exciting era of AI-driven innovation and transformation. Today we announced AI Hypercomputer, a groundbreaking architecture that employs an integrated system of AI-optimized hardware, software, and consumption models. With AI Hypercomputer, enterprises everywhere can run on the same cutting-edge infrastructure that is already the backbone of Google’s internal AI/ML …

Read more “Dynamic Workload Scheduler: Optimizing resource access and economics for AI/ML workloads”

Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate spatial data that helps optimize operations in real time. A member …

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*=Equal Contributors Preserving training dynamics across batch sizes is an important tool for practical machine learning as it enables the trade-off between batch size and wall-clock time. This trade-off is typically enabled by a scaling rule; for example, in stochastic gradient descent, one should scale the learning rate linearly with the batch size. Another important …

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