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Depressed? This algorithm can tell from the tone of your voice

TechCrunch

Kintsugi is attempting to use technology to build a machine learning model with many more samples than any individual clinician could see in a lifetime. A 2017 article published in the SSM Population Health Journal cites a 1999 study that found two-thirds of depression cases in the U.S. go undiagnosed.

Journal 212
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10 celebri disastri provocati dall’intelligenza artificiale

CIO

Nel 2017, The Economist ha dichiarato [in inglese] che i dati, alla pari del petrolio, sono diventati la risorsa più preziosa del mondo e, da allora, questo stesso ritornello è stato ripetuto più volte. Artificial Intelligence, Generative AI, Machine Learning

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Papercup raises $20M for AI that automatically dubs videos

TechCrunch

Founded in 2017 by Shemen and Jiameng Gao, Papercup offers an AI-powered dubbing solution that identities human voices in a target film or show and generates dubs in a new language. It brings the London-based company’s total raised to date to roughly $30.5

Video 228
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Lading into Generative AI: Transformers

Perficient

Many of you may be proficient in using these tools, but have you thought about what happens behind those engaging chat interfaces with artificial intelligences? Statistics played a pivotal role in the initial approaches to solving artificial intelligence problems. published in 2017, unveiled the Transformer to the world.

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Digital Therapeutics: How Software Can Treat Diseases

Altexsoft

Many digital therapeutics make use of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies to deal with patient data. Get issued in peer-reviewed journals with trial results and clinically proven outcomes. Digital therapeutics key principles. Clinical validation.

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Time To Look At These Trending App Ideas Before Planning the Development

Xicom

Even effective interaction by means of chatbots is projected to accelerate from 20% in 2017 to 93% by 2022. Today, it is the Reality integrated into many industry verticals including Education, Healthcare, Air and Space, Marketing, Travel, Automotive, Real-Estate, Journalism etc. Artificial Intelligence.

Trends 64
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Best practices to build generative AI applications on AWS

AWS Machine Learning - AI

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.