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Building a better future with data and AI: a white paper

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This white paper outlines our vision for artificial intelligence (AI) in the UK, emphasising the need for robust data infrastructure, governance and ethical foundations to support the tech ecosystem.

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White paper: How AI is propelling innovation in financial services

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This white paper examines key artificial intelligence (AI) use cases in financial services and explores the challenges of AI implementation.Over the …

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What policymakers need to know about foundation models

IBM Journey to AI blog

Using machine learning techniques, these models apply information learned about one situation to another situation. This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems.

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AI News Weekly - Issue #363: 20 Best AI Chatbots in 2024 - Dec 14th 2023

AI Weekly

futurism.com Ethics MIT publishes white papers to guide AI governance The comprehensive framework outlined in these papers seeks to extend existing regulatory and liability approaches to effectively oversee AI while fostering its benefits and mitigating potential harm. Many of the services only work on women.

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Slow approach to law enforcement AI could combat errors and bias, experts say

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are tapping AI to help draft police reports, but a new white paper from the American Civil Liberties Union points to the risks of its rapid adoption. Several police agencies across the U.S.

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CUDA Accelerated: How CUDA Libraries Bolster Cybersecurity With AI

NVIDIA

They offer: Faster AI model training : GPUs reduce the time required to train machine learning models for tasks like fraud detection or phishing prevention. Read the NVIDIA AI Enterprise security white paper to learn more.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.