AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. What percentage of customers are from each region?”

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Dataconomy

JUNE 8, 2023

AI has become integral to our daily lives, and now the science world is exploring the potential of artificial intelligence in surgery. AI-powered healthcare solutions are transforming the way diagnoses are made and treatment plans are personalized. One of the areas where AI shows immense promise is in medical diagnostics.

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Dataconomy

MAY 2, 2023

Yes, the Godfather of AI leaves Google. Geoffrey Hinton, widely regarded as the godfather of artificial intelligence (AI), has announced his departure from Google, and he now regretted his work. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google.

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AWS Machine Learning Blog

MARCH 10, 2025

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. It became apparent that a cost-effective solution for our generative AI needs was required. Enter Amazon Bedrock Knowledge Bases.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

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Towards AI

APRIL 8, 2024

Author(s): Jimmy Jarjoura Originally published on Towards AI. While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance.

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ODSC - Open Data Science

FEBRUARY 29, 2024

There are a lot of amazing research labs that are pushing the envelope of research when it comes to AI. If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. Another project, SynthID , helps to identify and watermark AI-generated images.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form.

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ML Review

FEBRUARY 26, 2018

The most significant innovation in AI these recent years, smart chatbots, personal assistants, are only a glimpse of what the future holds. Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). ACM, 2013: 2333–2338. [2]

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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

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ML Review

JUNE 4, 2018

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). In: Daniilidis K., Paragios N. 12, December.

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Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. High Demand for Data Scientists: Data Science roles have grown over 250% since 2013, with salaries reaching $153k/year. AI and Machine Learning Integration: AI-driven Data Science powers industries like healthcare, e-commerce, and entertainment34.

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DrivenData Labs

DECEMBER 7, 2023

The four solutions that won overall prizes each used different approaches and tools, including ChatGPT, Text2Text Generation, FAISS (Facebook AI Similarity Search), and DBSCAN clustering. His main research interests revolve around applications of Network Analysis and Natural Language Processing methods.

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