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Navigating AI Bias: A Guide for Responsible Development

Unite.AI

Even AI-powered customer service tools can show bias, offering different levels of assistance based on a customers name or speech pattern. Lack of Transparency and Explainability Many AI models operate as “black boxes,” making their decision-making processes unclear.

Algorithm 162
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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The New York Times lawsuit argues such outputs constitute infringement, which could have major implications for generative AI development. Overall, evidence indicates plagiarism is an inherent issue in large neural network models that requires vigilance and safeguards.

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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

NVIDIA

Enterprises and public sector organizations around the world are developing AI agents to boost the capabilities of workforces that rely on visual information from a growing number of devices — including cameras, IoT sensors and vehicles.

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NVIDIA Unveils Its Most Affordable Generative AI Supercomputer

NVIDIA

NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102GB/s compared with its predecessor.