Remove 3D Remove Authentication Remove Machine Learning
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LG announces the first 50 participants in its LG Nova program

TechCrunch

ByondXR – Provides retail 3D virtual experiences that are fast, scalable and in line with the latest metaverse technologies. echo3D – Cloud platform for 3D/AR/VR that provides tools and network infrastructure to help quickly build and deploy 3D/metaverse apps, games and content.

3D 221
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How to Mitigate Fraud Risks and Best Serve eCommerce Customers

CIO

Merchants report using an average of four fraud detection tools and services, with payment card and identity verification services, 3D-Secure, and two-factor phone authentication being the most widely used tools. [3]. 4] Cybersource, Remove the guesswork with Cybersource’s machine learning. [5]

eCommerce 148
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Top 6 Annotation Tools for HITL LLMs Evaluation and Domain-Specific AI Model Training

John Snow Labs

SuperAnnotate A Flexible Platform for Multi-Modal Data and ML-Powered QA SuperAnnotate is an end-to-end data annotation platform designed to help businesses create high-quality training datasets for AI and machine learning (ML) models. It also handles 3D point cloud annotations. pcd,las), and GIS files. JSON, CSV).

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How enterprises get ahead using hybrid cloud for innovation overlay

CIO

Advanced Customer Experience (CX) solutions like Artificial Intelligence (AI), automation, and Machine Learning (ML) are required to produce tangible benefits. What if you used AI and automation to offer a more effective form of customer authentication like a real-time 3D photo scan?

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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning - AI

The solution uses AWS AI and machine learning (AI/ML) services, including Amazon Transcribe , Amazon SageMaker , Amazon Bedrock , and FMs. This API layer is fronted by API Gateway, which allows the user to authenticate, monitor, and throttle the API request. With that approach, we can create thousands of 3D keypoints.

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Radar trends to watch: May 2022

O'Reilly Media - Ideas

Google has released a dataset of 3D-scanned household items. FOMO (Faster Objects, More Objects) is a machine learning model for object detection in real time that requires less than 200KB of memory. It’s part of the TinyML movement: machine learning for small embedded systems.

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Radar trends to watch: January 2020

O'Reilly Media - Ideas

The big story in infrastructure and operations (aside from our new conference ) will be learning to put machine learning products into production. There are also proposals for open standards for machine learning operations and governance coming from Cloudera. There is a lot further to go. Security trends.

Trends 107