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Sneaker fit startup Neatsy.ai gets $1M seed after B2B pivot

TechCrunch

Neasty’s approach relies on 3D scanning technology found in the iPhone X or later (aka, the TruthDepth camera for FaceID) — so (currently) it only works for a subset of iOS users. Neatsy wants to reduce sneaker returns with 3D foot scans. But it’s eyeing expanding its fit recommendations with the seed funding.

B2B 201
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LG announces the first 50 participants in its LG Nova program

TechCrunch

Bigthinx – AI technology focused on fashion retail, wellness and the metaverse with products for body scanning, digital avatars and virtual fashion. ByondXR – Provides retail 3D virtual experiences that are fast, scalable and in line with the latest metaverse technologies. The Metaverse. NeuroTrainer, Inc.

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Daily Crunch: Andreessen Horowitz backs Synonym’s development of ‘fermentation farms’

TechCrunch

The sweetest taboo : Haje gets all fanboy about Sugar Lab buying back its company from 3D Systems, to take 3D-printed foods mainstream. Runaway train, never coming back : Natasha M reports that Getaway launches a way for you to enjoy and own vacation homes.

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Sequoia’s Surge reveals 15 India, SEA startups in seventh cohort

TechCrunch

These founders include the former CFO of fashion e-commerce platform Nykaa, machine learning engineers who worked on conversational AI at Meta and the first set of engineers of Uber in India. PixCap is an animation platform that allows users with no design experience to create animations for 3D illustrations, games, and designs.

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Synthesis AI raises $17M to generate synthetic data for computer vision

TechCrunch

Synthesis AI , a startup developing a platform that generates synthetic data to train AI systems, today announced that it raised $17 million in a Series A funding round led by 468 Capital with participation from Sorenson Ventures and Strawberry Creek Ventures, Bee Partners, PJC, iRobot Ventures, Boom Capital and Kubera Venture Capital.

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning - AI

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. Model parallel training becomes necessary when the total model footprint (model weights, gradients, and optimizer states) exceeds the memory of a single GPU.

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Are lifelike digital humans the future of customer experience?

TechCrunch

Florence and Ruth were similarly restricted to phrasing questions in a way they were trained to understand and react to, and answering questions that are within the limits of their operational design domains. For her part, Florence had a decent facial mimicking feature.