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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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How to get datasets for Machine Learning?

Knowledge Hut

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. A technology has no significance without data. But raw data is available as open source for beginners and learners who wish to learn technologies associated with data.

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GenAI in Automotive: From R&D to On-Road Implementation

RandomTrees

Gen AI is a sophisticated amalgamation of AI technologies that promise to revolutionize the automotive landscape from research and development laboratories to the everyday roads we traverse. These technologies synergize to empower vehicles with great levels of autonomy, intellect, and adaptability.

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10 Practical Generative AI Examples to be More Productive

Edureka

This data can be retrieved from anything – books, blogs, pictures or images. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. A lot of anonymous social media channels already use this for their long or short-form videos.

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Apple Software Engineer Interview Process + Expert Tips

Knowledge Hut

They will be able to collaborate with a diverse range of global multidisciplinary teams, such as Operations, Software and Hardware Engineering, and Contract Manufacturing partners. Their efforts will directly affect the quality of the hardware as they work on a variety of items from early development to mass manufacturing.

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How to Become a Robotics Engineer in 2024? [Step-by-Step]

Knowledge Hut

In this blog, I have outlined all the details necessary to understand ‘How to become a robotics engineer?’ As a robotics engineer, you can create robotic applications for a variety of industries, including the automotive, aerospace, manufacturing, defense, and medical fields.

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Better video for mobile RTC with AV1 and HD

Engineering at Meta

There are no universal definitions for low, mid, and high networks, but for the purpose of this blog post, less than 300 Kbps will be considered as low, 300-800 Kbps as mid, and above 800 Kbps as a high, HD-capable, or high-end network. This algorithm can combine these scaling distortions with the encoder distortions to produce output PSNR.