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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

Deep Learning Technology has started being used increasingly in managing parking areas. Learn more here. What is Deep Learning Technology. Deep learning is a kind of machine learning that involves teaching machines to understand in the same way people do naturally, via observation and imitation of others.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g., document, image, video, audio clip) is reduced (transformed) to a condensed vector representation using deep neural networks.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

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How AI Can Improve Your Annotation Quality?

Smart Data Collective

Image annotation is the act of labeling images for AI and machine learning models. The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning.

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New Applied ML Research: Meta-Learning & Structural Time Series

Cloudera

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Evolving Research At Cloudera Fast Forward.

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Data for Enterprise AI: at the very forefront of innovation

Cloudera

It’s been a year filled with disruption and uncertainty. UOB used deep learning to improve detection of procurement fraud, thereby fighting financial crime. 2020 may well go down as the year where what seems impossible today, did become possible tomorrow.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.