Google Launches MedASR: Open Medical Speech-to-Text AI Model

Google has introduced MedASR, an open medical speech-to-text AI model built to accurately transcribe clinical conversations and healthcare audio. The model aims to improve medical documentation, clinical workflows, and AI-driven healthcare applications. This breakthrough highlights Google’s growing focus on medical AI and speech recognition in healthcare.

Read more: https://slator.com/google-laun....-text-model/

Slator continues to lead the way in covering the latest breakthroughs in AI translation, machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros.

#googleai #medasr #medicalai #speechtotext #healthcaretechnology #aiinhealthcare #medicaltranscription #clinicalai #healthtech #artificialintelligence #slatornews #slatorcon

Google's Quantum Leap: Willow Chip Outperforms Supercomputers by Trillions of Years | #quantumcomputing #googleai #supercomputers #artificialintelligence #quantumleap #willowchip #techbreakthrough #innovation #nextgencomputing #quantumrevolution #futuretechnology #quantumsupremacy

Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation

In an October 14, 2024 paper, Google researchers highlighted the potential of AI translations refined by humans or human translations refined by large language models (LLMs) as alternatives to traditional human-only references.

Talking to Slator, Zhongtao Liu, a Software Engineer at Google, explained that their study addresses a growing challenge in the translation industry: scaling the collection of high-quality data needed for fine-tuning and testing machine translation (MT) systems.

With translation demand expanding across multiple languages, domains, and use cases, traditional methods that rely solely on human translators have become increasingly expensive, time-consuming, and hard to scale.

https://slator-language-indust....r-way-to-create.html

#aitranslation #machinelearning #slatornews #googleai #languagetech #naturallanguageprocessing #machinetranslation #aitechnology #translationindustry #innovation #slator

Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation

In an October 14, 2024 paper, Google researchers highlighted the potential of AI translations refined by humans or human translations refined by large language models (LLMs) as alternatives to traditional human-only references.

Talking to Slator, Zhongtao Liu, a Software Engineer at Google, explained that their study addresses a growing challenge in the translation industry: scaling the collection of high-quality data needed for fine-tuning and testing machine translation (MT) systems.

With translation demand expanding across multiple languages, domains, and use cases, traditional methods that rely solely on human translators have become increasingly expensive, time-consuming, and hard to scale.

https://slator-language-indust....r-way-to-create.html

#aitranslation #machinelearning #slatornews #googleai #languagetech #naturallanguageprocessing #machinetranslation #aitechnology #translationindustry #innovation #slator

🚀Google just changed the name of Bard to Gemini, which represents a major change in the company's AI approach. The goal of this transition is to unify AI services under one roof, improving accessibility and optimizing user experience. Google wants to become a dominant force in the AI space by providing cutting-edge solutions to match changing technological demands, and this is what Gemini is all about. Find out more about this fascinating change! 🔍 https://bit.ly/3HWekoD

#google #bard #geminirebranding #artificialintelligence #languagemodels #chatbots #mobileapp #integration #personalassistant #googleai #bardai #geminiai #mobileai #futureofai