AI & RoboticsNews

Parallel Domain raises $11 million to generate synthetic data for AI model training

Parallel Domain, a startup developing a synthetic data generation platform for AI and machine learning applications, today emerged from stealth with $11 million in funding. The company, which has over 25 employees and customers in auto manufacturing and drone delivery, plans to use the capital to accelerate its go-to-market efforts as it expands its product footprint. Self-driving vehicle…
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AI & RoboticsNews

Google Cloud expands edge computing to help companies leverage AI and 5G

Google Cloud is increasing its bet on edge computing by partnering with 200 application developers whose services will now be available from datacenters closer to business customers. By expanding edge computing, Google is hoping to entice even more enterprises to turn to the cloud for their computing needs. The move is timed to take advantage of the rollout of 5G networks, which promise far…
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AI & RoboticsNews

New hybrid architectures are unlocking the power of data and AI (VB Live)

Presented by SambaNova Systems To stay on top of AI innovation, it’s time to upgrade to next-gen architecture. Join this VB Live event to learn how cutting-edge computer architecture can unlock new AI capabilities, from common use cases to real-world case studies and more. Register here for free. “Everybody’s heard a lot about big data over the last decade,” says Alan Lee, corporate vice…
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AI & RoboticsNews

NVIDIA found a way to train AI with very little data

NVIDIA has developed a new approach for training generative adversarial networks (GAN) that could one day make them suitable for a greater variety of tasks. Before getting into NVIDIA’s work, it helps to know a bit about how GANs work. Every GAN consists of two competing neural networks: a generator and a discriminator.  In one where the goal of the algorithm is to create new images, the…
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