Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process. There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process.

Software Engineer 97

Software Engineer Machine Learning Neural Network Artificial Intelligence 97

Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). SemEval 2017 Task 5 — A domain-specific challenge SemEval ( Sem antic Eval uation) is a renowned NLP workshop where research teams compete scientifically in sentiment analysis, text similarity, and question-answering tasks. finance, entertainment, psychology).

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

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.

Data Extraction 85

Data Extraction NLP Natural Language Processing Automation 85

Unite.AI

FEBRUARY 8, 2024

So, In 2017, we took our national intelligence agency experience and began to make this happen with the mission of helping organizations prevent breaches, by continuously mapping their external exposure blind spots and finding the paths of least resistance into their internal networks.

NLP 189

NLP Automation Natural Language Processing Generative AI 189

Unite.AI

OCTOBER 27, 2023

Stiglitz, will lead to the transformation of civilization (Stiglitz, 2017). All moral attitudes, feelings, and desires of such a “person” become derived from human intelligence (Uzhov, 2017). Such a symbiosis will involve cooperation between humans and “smart” machines, which, according to Nobel Prize-winning economist J.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Robotics Neural Network 182

Flipboard

FEBRUARY 5, 2023

It’s a nudge from Duolingo , the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. Around 2017, the company started to make a more focused investment in machine learning, and that’s when coauthors Brust and Bicknell joined the team.

Machine Learning 182

Machine Learning AI AI Algorithm 182

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. She received her PhD from Virginia Tech in 2017. He received his PhD from University of Illinois at Urbana-Champaign in 2017.

Natural Language Processing 103

Natural Language Processing NLP Large Language Models LLM 103

Towards AI

APRIL 8, 2024

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.

Natural Language Processing 72

Natural Language Processing NLP Neural Network Algorithm 72

Sebastian Ruder

JULY 31, 2020

Natural language processing (NLP) research predominantly focuses on developing methods that work well for English despite the many positive benefits of working on other languages. Most of the world's languages are spoken in Asia, Africa, the Pacific region and the Americas.

NLP 78

NLP Natural Language Processing Machine Learning ML 78

Viso.ai

DECEMBER 10, 2023

An introduction The basic concepts and how it works Traditional and modern deep learning image recognition The best popular image recognition algorithms How to use Python for image recognition Examples and deep learning applications Popular image recognition software About: We provide the leading end-to-end computer vision platform Viso Suite.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. It is based on GPT and uses machine learning algorithms to generate code suggestions as developers write.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Lexalytics

APRIL 5, 2021

This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ]. In retrospect, this algorithm seems obvious, and perhaps it was. We were definitely in a Kuhnian pre-paradigmatic period. It would not be the last time that happened.)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

ODSC - Open Data Science

JUNE 13, 2023

billion in 2017 to 3.78 The average annual growth in social media consumers has been 230 million between 2017 and 2021. Social Media Analysis using Natural Language Processing Techniques. Jyotika has been working on Natural Language Processing and Social Media data for 8 years. billion in 2021.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

AWS Machine Learning Blog

AUGUST 16, 2023

Our solution is based on the DINO algorithm and uses the SageMaker distributed data parallel library (SMDDP) to split the data over multiple GPU instances. The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. tif" --include "_B03.tif" tif" --include "_B04.tif"

Metadata 77

Metadata Data Scientist Generative AI Natural Language Processing 77

Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Essentially, the clustering algorithm is grouping data points together without any prior knowledge or guidance to discover hidden patterns or unusual data groupings without the need for human interference. 4, center_box=(20, 5)) model = OPTICS().fit(x)

Algorithm 52

Algorithm Machine Learning Data Analysis Deep Learning 52

Viso.ai

JULY 9, 2024

Diagram that illustrates the reinforcement learning process through agent-environment interaction and the constituent ranking algorithm. This process loops as the agent continues to learn. The agent takes an action to interact with the environment, which changes its state and leads to a potential reward or penalty.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Deep Learning 52

Viso.ai

FEBRUARY 25, 2023

Transformer models have become the de-facto status quo in Natural Language Processing (NLP). For example, the popular ChatGPT AI chatbot is a transformer-based language model. Popular image recognition algorithms include ResNet , VGG , YOLOv3 , and YOLOv7. Viso Suite provides end-to-end software for AI vision.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Explosion

AUGUST 22, 2017

A lot of work has gone into designing optimisation algorithms that are less sensitive to initialisation. ML — Jason Eisner (@adveisner) August 12, 2017 E.g., regularize toward word embeddings θ that were pretrained on big data for some other objective. Coeff controls bias/variance tradeoff.

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

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). Source: Lu et al. 2016)[ 91 ] You et al.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

John Snow Labs

MAY 18, 2023

Word embeddings are considered as a type of representation used in natural language processing (NLP) to capture the meaning of words in a numerical form. Word embeddings are used in natural language processing (NLP) as a technique to represent words in a numerical format.

NLP 52

NLP Machine Learning Python Algorithm 52

Viso.ai

JANUARY 16, 2024

Traditional software operates based on predefined, linear rules and algorithms explicitly programmed by humans. The ANN utilizes a pair of music files, each with a natural language description, such as ‘happy’ or ‘sad.’ Traditional software operates on fixed algorithms directly coded by programmers.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

John Snow Labs

JUNE 5, 2023

Sentence detection is an essential component in many natural language processing (NLP) tasks, as it enables the analysis of text at a more granular level by breaking it down into individual sentences. Sentence Detection in Spark NLP is the process of automatically identifying the boundaries of sentences in a given text.

NLP 52

NLP Natural Language Processing Deep Learning Algorithm 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Thirdly, the presence of GPUs enabled the labeled data to be processed. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer. Parallel computing uses these multiple processing elements simultaneously to solve a problem.

ML 97

ML Deep Learning Algorithm Large Language Models 97

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In Proceedings of NIPS 2017. Transfer learning in natural language processing. Shazeer, N.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Probably Approximately a Scientific Blog

SEPTEMBER 14, 2018

With machine learning increasingly automating many previously manual decision making processes, it’s time to reflect not only on the algorithms’ performances but also on the ethical issues involved. Here are some questions about ethical concerns: Fairness : are the outputs of our algorithms fair towards everyone?

Machine Learning 52

Machine Learning Algorithm Natural Language Processing Automation 52

Mlearning.ai

MARCH 9, 2023

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.

Deep Learning 52

Deep Learning Computer Vision Machine Learning Algorithm 52

John Snow Labs

JUNE 14, 2023

Stopwords removal in natural language processing (NLP) is the process of eliminating words that occur frequently in a language but carry little or no meaning. Stopwords cleaning in Spark NLP is the process of removing stopwords from the text data. setInputCol("text").setOutputCol("document")

NLP 52

NLP Natural Language Processing Python Metadata 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. This is achieved through the Guided GradCAM algorithm ( Ramprasaath et al. ). Advances in neural information processing systems 30 (2017). probability and Cover 1 Man with 31.3%

Computer Vision 75

Computer Vision Machine Learning ML Convolutional Neural Networks 75

Viso.ai

JUNE 12, 2024

Their applications include various Natural Language Processing ( NLP ) tasks, including question answering, text summarization, sentiment analysis , etc. Previous ChatGPT models The GPT-1 version was introduced in June 2018 as a method for language understanding by using generative pre-training. trillion words.

Large Language Models 52

Large Language Models ChatGPT Computer Vision Neural Network 52

Marek Rei

NOVEMBER 12, 2019

Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019). Improving Neural Language Models with a Continuous Cache Edouard Grave, Armand Joulin, Nicolas Usunier. ArXiv 2017.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52

John Snow Labs

JUNE 2, 2023

Sentiment analysis is a popular natural language processing (NLP) task that involves determining the sentiment of a given text, whether it is positive, negative, or neutral. There are separate blog posts for the rule-based systems and for statistical methods.

Deep Learning 76

Deep Learning NLP Convolutional Neural Networks Neural Network 76

Sebastian Ruder

OCTOBER 26, 2019

To ensure that non-English language speakers are not left behind and at the same time to offset the existing imbalance, we need to apply our models to non-English languages. The NLP Resource Hierarchy In current machine learning, the amount of available training data is the main factor that influences an algorithm's performance.

BERT 52

BERT NLP Natural Language Processing Neural Network 52

Sebastian Ruder

AUGUST 23, 2021

Does this mean that we have solved natural language processing? For instance, the AI Index Report 2021 uses SuperGLUE and SQuAD as a proxy for overall progress in natural language processing. 2018 ) while models trained on SQuAD are subject to adversarially inserted sentences ( Jia and Liang, 2017 ).

NLP 52

NLP Natural Language Processing ML Deep Learning 52

Probably Approximately a Scientific Blog

APRIL 13, 2018

Although Mark Zuckerberg denied this conspiracy theory in his senate hearing , I doubt that people would stop believing it whenever the ads algorithm surprises them. 1/5 — Vered Shwartz (@VeredShwartz) October 17, 2017 In that case I was amazed by the accuracy of the Quora digest emails I was getting.

Algorithm 40

Algorithm Natural Language Processing NLP AI 40

Applied Data Science

JANUARY 4, 2022

Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer. Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Sebastian Ruder

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP).  Reinforcement learning algorithms have a multitude of practical implications ( Bellemare et al.,

NLP 52

NLP ML Computer Vision Neural Network 52

John Snow Labs

MAY 26, 2023

Sentence embeddings are a powerful tool in natural language processing that helps analyze and understand language. Transformers, a type of neural network architecture, are a popular method for generating these embeddings. " sentence_df = spark.createDataFrame([[sentence_0], [sentence_1], [sentence_2]]).toDF("text")

NLP 52

NLP BERT Natural Language Processing Deep Learning 52