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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. New business models and productivity gains can be achieved by using modern technology. The intelligence generated via Machine Learning.

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The Shape of Things to Come: What’s the Future of Computer Programming?

The Crazy Programmer

While there will always be work for those who can solve those problems, there’s also a future in learning and specializing in frameworks. The Internet of Things. The Internet of Things has already become an accepted part of daily life. Several reasons — such as 3D computing and quantum computing. The Future.

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Radar Trends to Watch: June 2024

O'Reilly Media - Ideas

OpenAI has released a draft proposal for Model Specs , which provide a way to specify the desired behavior for a model. Model specifications look like an interesting supplement to—though not a replacement for— model cards. KnowHalu is a new framework for detecting hallucinations in large language model output.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

Artificial Intelligence (AI) is one of the crucial catalysts for this innovation: It has enormous potential to revolutionize various facets of vacation and short-term rentals. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

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How Artificial intelligence (AI) is Enabling Creativity Across Businesses

OTS Solutions

How Artificial intelligence is Enabling Creativity Across Businesses. Artificial intelligence (AI) is useful for every industry, and many modern, leading CEOs, CMOs, CFO’S, and CIOs have discovered creative ways to use AI and embed it as part of their strategy.

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What is Digital Twin?: Applications, Examples, Trends and More 

Openxcell

The digital twin technology has expanded beyond manufacturing to include Artificial Intelligence, the Internet of Things, and Data Analytics. A combination of 3D modeling, sensor data, and Artificial Intelligence is used to create this replica.

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Types of Databases and use cases

Perficient

Vector Databases (Faiss, Milvus): Use Case: Designed for machine learning applications that work with vector data (multidimensional data points), like: Recommendation systems: User preferences and product features represented as vectors for personalized recommendations.