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Synthetaic raises $3.5M to train AI with synthetic data

TechCrunch

Synthetaic is a startup working to create data — specifically images — that can be used to train artificial intelligence. Founder and CEO Corey Jaskolski’s experience includes work with both National Geographic (where he was recently named Explorer of the Year ) and a 3D media startup. Image Credits: Synthetaic.

Training 237
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Uber branches out into AI data labeling

CIO

Its first customers include Aurora Innovation, which makes self-driving software for commercial trucks, and game developer Niantic, which is building a 3D map of the world. Data labeling in particular is a growing market, as companies rely on humans to check out data used to train AI models.

Data 181
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Sequoia India’s Surge backs healthtech startup RedBrick AI in $4.6M funding

TechCrunch

Artificial intelligence has become ubiquitous in clinical diagnosis. But researchers need much of their initial time preparing data for training AI systems. The training process also requires hundreds of annotated medical images and thousands of hours of annotation by clinicians.

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LG announces the first 50 participants in its LG Nova program

TechCrunch

Artificial intelligence-powered remote patient monitoring wearable technology. ByondXR – Provides retail 3D virtual experiences that are fast, scalable and in line with the latest metaverse technologies. HEXA – Unique immersive OS with 3D tech stack to create, manage, display and analyze 3D projects.

3D 221
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Tractable raises $60M at a $1B valuation to make damage appraisals using AI

TechCrunch

For example, Hover , which has built a way to create 3D imagery of homes using ordinary smartphone cameras, is also eyeing ways of selling its tech (originally developed to help make estimates on home repairs) to insurance companies. Hover secures $60M for 3D imaging to assess and fix properties.

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Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock

AWS Machine Learning - AI

Its improved architecture, based on the Multimodal Diffusion Transformer (MMDiT), combines multiple pre-trained text encoders for enhanced text understanding and uses QK-normalization to improve training stability. Finally, use the generated images as reference material for 3D artists to create fully realized game environments.

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Nvidia unveils Workbench for managing AI workloads, updates Omniverse

CIO

Plus, Nvidia is working with Hugging Face, provider of a platform for training and tuning generative AI models, to accelerate model training. Hugging Face will add Nvidia DGX Cloud as one of the cloud-based destinations to which enterprises can send their training workloads.