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Bayesian Networks – Probabilistic Neural Network (PNN)

Analytics Vidhya

It uses conditional probabilities to improve the prior probabilities, which results in posterior probabilities. In simple terms, suppose you want to ascertain the probability of whether your friends […] The post Bayesian Networks – Probabilistic Neural Network (PNN) appeared first on Analytics Vidhya.

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Zoom Uses Customer Data for AI Training; Faces Legal Quandary

Analytics Vidhya

The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent. In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models.

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How foundation models can help make steel and cement production more sustainable

IBM Journey to AI blog

This variability comes from material inconsistency (raw material comes from earth), varying weather conditions, machine conditions and the human inability to operate the processes at top efficiency 24 hours a day, every day of the week. Today, foundation models are used mostly in natural language processing.

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Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

The model operates on a multi-dimensional level, not just adhering to the textual inputs but also demonstrating the ability to be conditioned on melodies. This approach ensures high-fidelity and long-term coherence over substantial durations. The developers of MusicLM have also open-sourced MusicCaps, a dataset featuring 5.5k

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Networks unchained: the shift toward intent-based autonomous operations

IBM Journey to AI blog

Taking it a step further, autonomous networks (AN) promise to utilize intents as inputs to autonomously self-configure, self-optimize and self-heal networks as their conditions evolve. We use terms Day 0, Day 1 and Day 2 for different service lifecycle stages, namely service design , service instantiation and service assurance , respectively.

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Climate change examples

IBM Journey to AI blog

The impacts of climate change may be organized into three categories: Intensifying extreme weather events Changes to natural ecosystems Harm to human health and well-being Extreme weather events While climate change is defined as a shift in long-term weather patterns, its impacts include an increase in the severity of short-term weather events.