Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Towards AI

JULY 19, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network.

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Natural Language Processing Azure Python Artificial Intelligence 98

Data Science Dojo

OCTOBER 10, 2023

A Glimpse into the future : Want to be like a scientist who predicted the rise of machine learning back in 2010? Learning from real-world applications : Who doesn’t want to revolutionize their manufacturing process by integrating AI, a strategy learned from a case study at an AI conference.

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AI AI Data Observability Artificial Intelligence 243

Dataconomy

JUNE 15, 2023

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. This can be attributed primarily to remarkable advancements in computer processing power and the availability of vast amounts of data.

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Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. Her research interests lie in Natural Language Processing, AI4Code and generative AI. His research interests lie in the area of AI4Code and Natural Language Processing. He received his PhD from University of Maryland, College Park in 2010.

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AWS Natural Language Processing K-nearest Neighbors Computer Science 95

Towards AI

JULY 21, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network.

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Parallel computing uses these multiple processing elements simultaneously to solve a problem. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. It also means not all workloads are equally suitable for acceleration.

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AWS ML ML Clustering 88