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Navigating tomorrow: Role of AI and ML in information technology

Dataconomy

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121
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How is artificial intelligence in surgery and healthcare changing our lives?

Dataconomy

These technologies leverage sophisticated algorithms to process vast amounts of medical data, helping healthcare professionals make more accurate decisions. By leveraging machine learning algorithms, AI systems can analyze medical images, such as X-rays, MRIs, and CT scans, with remarkable accuracy and speed.

professionals

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Tuning Word2Vec with Bayesian Optimization: Applied to Music Recommendations

Towards AI

While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems.

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Godfather of AI leaves Google to talk about dangers of AI

Dataconomy

He is credited with developing some of the key algorithms and concepts that underpin deep learning, such as capsule networks. Hinton joined Google in 2013 as part of its acquisition of DNNresearch, a startup he co-founded with two of his former students, Ilya Sutskever and Alex Krizhevsky.

AI 107
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Robustness of a Markov Blanket Discovery Approach to Adversarial Attack in Image Segmentation: An…

Mlearning.ai

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

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Parsing English in 500 Lines of Python

Explosion

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). But the parsing algorithm I’ll be explaining deals with projective trees.

Python 45
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Multi-Modal Methods: Image Captioning (From Translation to Attention)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Image Captioning with Semantic Attention (You et al.,