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Top 10 AI graduate degree programs

CIO

The field requires broad training involving principles of computer science, cognitive psychology, and engineering. Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand.

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

AWS Machine Learning - AI

Luma AI’s recently launched Dream Machine represents a significant advancement in this field. Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. The process extends image generation techniques to the temporal domain.

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10 highest-paying IT skills for 2024

CIO

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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How Nvidia became a trillion-dollar company

CIO

Its founders spotted that generating 3D graphics in video games—then a fast-growing market—placed highly repetitive, math-intensive demands on PC central processing units (CPUs). Although Nvidia’s first chips were used to enhance 3D gaming, the manufacturing industry is also interested in 3D simulations, and its pockets are deeper.

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Machine learning development for business

InfoBest

Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. Machine learning development, compared to more classic A.I., The value of machine learning development for business.

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Scale AI gets into the synthetic data game

TechCrunch

They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Scale hired two executives to build out this new division of its business.

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Sport analytics leverage AI and ML to improve the game

CIO

Computer vision, AI, and machine learning (ML) all now play a role. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Souza’s advice: Cultivate curiosity.

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