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Large Language Models in Telemedicine and Remote Care

John Snow Labs

LLMs and Their Role in Telemedicine and Remote Care Large Language Models (LLMs) are advanced artificial intelligence systems developed to understand and generate text in a human-like manner. LLMs are crucial in telemedicine and remote care.

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How mobile apps and cloud accelerating Industry 4.0 transformation.

OTS Solutions

It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

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12 Impact of Artificial Intelligence on Mobile App Development

Xicom

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning - AI

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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Goodyear Ventures, Porsche Ventures invest in virtual sensing company Tactile Mobility

TechCrunch

Israeli startup Tactile Mobility uses existing vehicle sensor data to enable cars to “feel” the road in a way that generates insights about both the vehicle and the road via its cloud platform. Tactile has a revenue share model with the OEMs it works with so that it is able to monetize whatever data it collects in its cloud.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. There are also significant cost savings linked with artificial intelligence in health care.

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How Machine Learning is Used in Finance and Banking

Exadel

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.