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Enhancing AI-Powered Computer Vision Through Physics-Awareness

Unite.AI

In a pioneering effort to further enhance AI capabilities, researchers from UCLA and the United States Army Research Laboratory have unveiled a unique approach that marries physics-awareness with data-driven techniques in AI-powered computer vision technologies.

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AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. To learn more about Viso Suite, book a demo with our team.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. Python is the most common programming language used in machine learning.

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15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

Marktechpost

r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. r/computervision Computer vision is the branch of AI science that focuses on creating algorithms to extract useful information from raw photos, videos, and sensor data.

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Top AI Influencers To Follow In 2023

Dlabs.ai

She was the leading scientist and co-creator of ImageNet , a visual object recognition database. And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience. To find out more about deep learning, check this Dlabs.AI

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Boston Children’s Researchers, in Joint Effort, Deploy AI Across Their Hip Clinic to Support Patients, Doctors

NVIDIA

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant , including engineers, computer scientists, orthopedic surgeons, radiologists and software developers.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.