You’ll find here blogs about applied artificial intelligence, machine learning, and deep learning technologies. We will also discuss IoT, Computer Vision, and Natural Language Processing here. It’s a space for Anubrain team to share their knowledge, experience, and best practices with the community.

Fatemeh A Anami

AI in Web Applications: How It Enhances The Online World

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Rahana A Kadir

Reinforcement Learning: A Guide To Training Intelligent Agents

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Zainab Siddiqui

Machine Learning in Medical Imaging: Powering Diagnosis

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Rahana A Kadir

Generative AI: An Excerpt Not Generated Using A Machine

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Zainab Siddiqui

NLP in Healthcare: Techniques, Applications, Challenges & Future

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Fatemeh A Anami

Artificial Intelligence for Disabled People: Making A Difference

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Rahana A Kadir

Artificial Intelligence in Education: Transforming Teaching and Learning

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Rahana A Kadir

Recommendation Systems: How AI Helps Provide Personalized User Experiences

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Fatemeh A Anami

Internet of Things (IoT): Introduction To Basics and Applications

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What is NLP - Anubrain Technology
Zainab Siddiqui

What is NLP: Steps in Training Models & Some Popular Applications

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Zainab Siddiqui

Unsupervised Machine Learning: How It Works & Applications

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Fatemeh A Anami

AI in Finance: A Change In Direction Refining Everything Money

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Featured Topics

AI in Web Applications: How It Enhances The Online World

AI in Web Applications: How It Enhances The Online World

Security cameras are everywhere in retail stores, but artificial intelligence (AI) is changing the way they are used. With retail AI systems that use facial recognition, behavior analysis, and object detection, thieves are stopped in their tracks.

Machine Learning in Medical Imaging: Powering Diagnosis

Machine Learning in Medical Imaging: Powering Diagnosis

Recurrent Neural Networks (RNNs) are a type of neural network commonly used in Natural Language Processing (NLP) and speech recognition. RNNs have loops that allow information to persist and be fed back into the network. This allows them to process sequences of inputs such as text, speech, or time series data.

Artificial Intelligence for Disabled People: Making A Difference

Artificial Intelligence for Disabled People: Making A Difference

Security cameras are everywhere in retail stores, but artificial intelligence (AI) is changing the way they are used. With retail AI systems that use facial recognition, behavior analysis, and object detection, thieves are stopped in their tracks.

What is NLP: Steps in Training Models & Some Popular Applications

What is NLP: Steps in Training Models & Some Popular Applications

Recurrent Neural Networks (RNNs) are a type of neural network commonly used in Natural Language Processing (NLP) and speech recognition. RNNs have loops that allow information to persist and be fed back into the network. This allows them to process sequences of inputs such as text, speech, or time series data.

Unsupervised Machine Learning: How It Works & Applications

Unsupervised Machine Learning: How It Works & Applications

Recurrent Neural Networks (RNNs) are a type of neural network commonly used in Natural Language Processing (NLP) and speech recognition. RNNs have loops that allow information to persist and be fed back into the network. This allows them to process sequences of inputs such as text, speech, or time series data.

Favourite Reads

Reinforcement Learning: A Guide To Training Intelligent Agents

Reinforcement Learning: A Guide To Training Intelligent Agents

The use of AI in security can help to improve the effectiveness, efficiency, and cost-effectiveness of security operations, while also allowing for real-time monitoring and predictive analysis of potential threats. But, it is important to ensure that these systems are designed and implemented in a way that protects individual privacy.

Generative AI: An Excerpt Not Generated Using A Machine

Generative AI: An Excerpt Not Generated Using A Machine

The use of AI in security can help to improve the effectiveness, efficiency, and cost-effectiveness of security operations, while also allowing for real-time monitoring and predictive analysis of potential threats. But, it is important to ensure that these systems are designed and implemented in a way that protects individual privacy.

NLP in Healthcare: Techniques, Applications, Challenges & Future

NLP in Healthcare: Techniques, Applications, Challenges & Future

Recurrent Neural Networks (RNNs) are a type of neural network commonly used in Natural Language Processing (NLP) and speech recognition. RNNs have loops that allow information to persist and be fed back into the network. This allows them to process sequences of inputs such as text, speech, or time series data.

Artificial Intelligence in Education: Transforming Teaching and Learning

Artificial Intelligence in Education: Transforming Teaching and Learning

The use of AI in security can help to improve the effectiveness, efficiency, and cost-effectiveness of security operations, while also allowing for real-time monitoring and predictive analysis of potential threats. But, it is important to ensure that these systems are designed and implemented in a way that protects individual privacy.

Recommendation Systems: How AI Helps Provide Personalized User Experiences

Recommendation Systems: How AI Helps Provide Personalized User Experiences

The use of AI in security can help to improve the effectiveness, efficiency, and cost-effectiveness of security operations, while also allowing for real-time monitoring and predictive analysis of potential threats. But, it is important to ensure that these systems are designed and implemented in a way that protects individual privacy.