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Rethinking AI: The Push for a Right to Repair Artificial Intelligence

Unite.AI

Artificial Intelligence (AI) is no longer just a fictional concept. Unlike traditional machines, AI involves algorithms, machine learning models, and vast amounts of data. Modern AI systems involve physical hardware and complex software algorithms, data models, and machine learning frameworks.

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NTT Research Launches New Physics of Artificial Intelligence Group at Harvard

Unite.AI

Much of the ever-emerging artificial intelligence (AI) technology was taught the same way. It will continue to advance the Physics of Artificial Intelligence approach to understanding AI, which the team has been investigating for the past five years. Tanaka told me last week on the sidelines of the Upgrade conference.

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Artificial Intelligence: Addressing Clinical Trials’ Greatest Challenges

Unite.AI

Fortunately, recent advancements in Artificial Intelligence have the potential to break the trend and transform drug development for the better. The post Artificial Intelligence: Addressing Clinical Trials Greatest Challenges appeared first on Unite.AI. Consequently, drug discovery slows, and costs continue to rise.

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TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning

Analytics Vidhya

In the recent world of technology development and machine learning its no longer confined in the micro cloud but in mobile devices. TensorFlow Lite and PyTorch mobile, both, are developed to […] The post TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning appeared first on Analytics Vidhya.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

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Ray: Your Gateway to Scalable AI and Machine Learning Applications

Analytics Vidhya

This guide provides an in-depth exploration of Ray’s architecture, capabilities, and applications in modern machine learning workflows, complete with a practical project implementation. Learning […] The post Ray: Your Gateway to Scalable AI and Machine Learning Applications appeared first on Analytics Vidhya.