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How Researchers Are Using Machine Learning To Make VR Sword Fights More Realistic

VRScout

.” These repeated actions can easily break player immersion, which is why researchers have begun working on a new system that uses machine learning to deliver more realistic sword fights against less predictable opponents. For more information on Touché, visit here. Image Credit: University of Bath / Ninja Theory.

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The Vital Difference Between Machine Learning And Generative AI

Bernard Marr

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. This process often includes: Data Collection : Gathering relevant data from which the model will learn. Semi-supervised learning combines both approaches.

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Rosetta Stone iPhone App Now Features AR Machine Learning

VRScout

The popular language-learning platform is even more intelligent with object recognition technology. If you’ve ever thought about learning a new language from scratch, but don’t have the time or money for an in-person class, odds are you’ve at least explored the idea of using Rosetta Stone. Image Credit: Rosetta Stone.

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Google Tests Interactive Learning with VR Espresso Machine, “People learned faster and better in VR”

Road to VR

The team behind Daydream, Google’s mobile VR platform, is currently conducting experiments with the aim of broadening virtual reality’s usecase to include more interactive learning. The Daydream team then put the would-be baristas to task with a real espresso machine. image courtesy Google. image courtesy Google.

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How AI And Machine Learning Will Impact The Future Of Healthcare

Bernard Marr

However, we’re still early in the journey of learning how we can apply artificial intelligence to make healthcare better. One of the primary use cases is using machine learning and AI to make predictions. Automation means highly repetitive work done by humans today is going to be done by a smart machine today or in the future.

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Explainable AI: Challenges And Opportunities In Developing Transparent Machine Learning Models

Bernard Marr

When we talk about AI today, we generally mean machine learning. Another issue is that explainability requires a trade-off with performance – most machine learning algorithms are coded in such a way that they will provide a result as efficiently as possible, without expending resources on explaining what they are doing.

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Grand Theft Auto Looks Frighteningly Photorealistic With This Machine Learning Technique

GizModo VR

But researchers at Intel Labs may have found a shortcut by applying machine learning techniques to rendered footage from a console that… Read more. As powerful as video game consoles have become, even the most graphically stunning video games don’t look like realistic, real-world footage, which is arguably the ultimate goal.