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Top 3 ways to enhance AI video editing tools with Speech AI

AssemblyAI

Sixty-nine percent of people view video without sound in public spaces ; more than 25% do so in private spaces as well. In addition to adding captions, video editing platforms can provide AI-powered tools that allow users to: Auto-tag video content with relevant tags.

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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Content management: organize and prioritize After a video or audio file is transcribed using Automatic Speech Recognition, companies can apply additional AI models to the transcription text that can categorize and tag content. This allows CallRail’s customers to more easily identify high-priority calls and common customer challenges.

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The Current State of AI in Marketing 2024

Unite.AI

Programmatic Advertising AI automates the process of buying and selling ad space, optimizing bids in real time for maximum reach and ROI. Implementation Cost/Pricey Technology: Advanced AI tools can come with a hefty price tag, posing a challenge for businesses with limited budgets.

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Pollen-Vision: An Artificial Intelligence Library Empowering Robots with the Autonomy to Grasp Unknown Objects

Marktechpost

This leap in technology equips robots with the capability to identify objects, recognize individuals, and navigate spaces, thereby broadening their usability spectrum. RAM (Recognize Anything Model by OPPO Research Institute): This model focuses on zero-shot image tagging, recognizing the presence of objects based on textual descriptions.

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How Can AR and VR Latest Technologies Revolutionize Home-Schooling?

Aiiot Talk

Unlike distance education or traditional home-schooling — where students connect over a monitor or not at all — they meet in virtual spaces. These hands-on experiences translate exceptionally well to an educational space. While computers, tablets and smartboards make education fun, students must still sit in one place.

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Pinecone Algorithms Stack Up Across the BigANN Tracks: Outperforming the Winners by up to 2x

Marktechpost

Participants face four distinct tracks, each tackling a different aspect of the challenge: Filter Track: This track focuses on efficiently finding nearest neighbors while filtering results based on specific tags or metadata. It breaks down data into clusters and creates a special list (inverted index) for each tag describing the data.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning Blog

Question How many car parking spaces do we have? Bot Answer Based on the given context, we don’t have enough information to determine the number of car parking spaces. First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. means a completely match, score 0.0

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