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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

It is the ideal solution for contemporary cities that wish to leverage the power of the internet of things while providing possible advantages to their residents. . Deep Learning Technology has started being used increasingly in managing parking areas. Learn more here. What is Deep Learning Technology.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. For example, we are working on a geospatial foundation model, which can be fine-tuned to track deforestation, detect greenhouse gases (GHGs) or predict crop yields.

IoT 79
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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

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Every Data-first Modernization Strategy Should Start with “Why?”

CIO Business Intelligence

Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. With nearly 6 billion people connected to the Internet in 2022, the opportunity to provide value through digital engagement channels remains top of mind. The Digitization Agenda.

Strategy 136
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Training versus Inference

Paul DeBeasi

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. An important development in machine learning is the emergence of machine learning inference servers (aka inference engines and inference servers).

IoT 49
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Updated Outlook of the AI Software Development Career Landscape

Smart Data Collective

Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” Take the Internet of Things as an example. One poll found that 40% of AI art developers spent their time looking for utilitarian images.