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MM1: Everything you Need to know About Apple’s AI Model 

Analytics Vidhya

This isn’t your average AI – it’s a cutting-edge system that can understand and work with different kinds of information at once (text, pictures, maybe even sound!). Think of it as a super-powered machine learning […] The post MM1: Everything you Need to know About Apple’s AI Model appeared first on Analytics Vidhya.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Recent advancements in AI emphasize the need for improved reproducibility due to the rapid pace of innovation and the complexity of AI models. Thus, reproducibility becomes a shared responsibility among researchers to ensure that accurate findings are accessible to a diverse audience.

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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. How did you initially get interested in computer science and machine learning ? As the director of AI Research at Zoho & ManageEngine, what does your average workday look like?

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Stanford Researchers Introduce BLASTNet: The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

Marktechpost

Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine learning purposes. The applications of BLASTNet-2 are as expansive as the fluid phenomena it encapsulates.

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AI News Weekly - Issue #359: 10 Breakthrough AI Research Papers to Read in 2024 - Nov 16th 2023

AI Weekly

Powered by superai.com In the News 10 Breakthrough AI Research Papers to Read in 2024 These papers encompass a diverse array of advancements, ranging from ethical considerations to quantum computing applications, healthcare innovations to climate analysis. bbc.com Robotics Can't find your car keys?

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Enhancing AI Validation with Causal Chambers: Bridging Data Gaps in Machine Learning and Statistics with Controlled Environments

Marktechpost

Artificial intelligence (AI), machine learning, and statistics continually evolve, pushing the boundaries of what machines can learn and predict. Yet, the validation of new AI methods often hinges on the availability of high-quality, real-world data. Check out the Paper and Github.

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UCI and Harvard Researchers Introduce TalkToModel that Explains Machine Learning Models to its Users

Marktechpost

Machine learning models have become indispensable tools in various professional fields, driving applications in smartphones, software packages, and online services. However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists.