ODSC - Open Data Science

AUGUST 31, 2023

A Mongolian pharmaceutical company engaged in a pilot study in 2018 to detect fake drugs, an initiative with the potential to save hundreds of thousands of lives. The Role of AI in Counterfeit Detection Experts must bolster AI tools to be more proficient at being an anti-counterfeit technology than one to make illegal products.

Natural Language Processing 98

Natural Language Processing Data Scientist Neural Network Data Science 98

IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018.

Generative AI 189

Generative AI BERT Data Scientist Machine Learning 189

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 77

Data Extraction NLP Natural Language Processing Automation 77

Marktechpost

JULY 3, 2023

Predictive Analytics with AI: 3D Simulation (NCS) Since 2018, Neural Concept has been leveraging Deep Learning to provide a surrogate for CAE by learning to build its own predictive models with data mining of past CAE data. ML refers to the development of algorithms that enable computers to learn from data without explicit programming.

Deep Learning 126

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 126

Unite.AI

OCTOBER 27, 2023

For example, multimodal generative models of neural networks can produce such images, literary and scientific texts that it is not always possible to distinguish whether they are created by a human or an artificial intelligence system.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Robotics Neural Network 182

Unite.AI

AUGUST 3, 2023

The study of psychology sparked my fascination with the human mind and intelligence, particularly the process of skills learning and expertise development. Meanwhile, statistics provided the mathematical foundation to explore artificial neural networks , inspired by our biological brain.

Machine Learning 246

Machine Learning Algorithm Natural Language Processing Generative AI 246

Viso.ai

JUNE 12, 2024

Viso Suite is the Computer Vision Enterprise Platform Large Language Models Text generation as a tool is already being applied in journalism (news production), education (production and misuse of materials), law (drafting contracts), medicine (diagnostics), science (search and generation of scientific papers), etc. billion parameters.

Large Language Models 52

Large Language Models ChatGPT Computer Vision Neural Network 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT can be fine-tuned for a variety of NLP tasks, including question answering, natural language inference, and sentiment analysis.

Large Language Models 119

Large Language Models BERT NLP Data Scientist 119

Lexalytics

APRIL 5, 2021

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. How is the problem approached?

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. NTMs introduced the revolutionary concept of incorporating dynamic memory storage into neural networks. 2019). . &

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Algorithm 52

Flipboard

JULY 10, 2023

An autoencoder is an artificial neural network used for unsupervised learning tasks (i.e., Sequence-to-Sequence Autoencoder Also known as a Recurrent Autoencoder, this type of autoencoder utilizes recurrent neural network (RNN) layers (e.g., time series or natural language processing tasks).

Computer Vision 132

Computer Vision Deep Learning Neural Network Machine Learning 132

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. Transformer models have become the de-facto status quo in Natural Language Processing (NLP).

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Mlearning.ai

MARCH 9, 2023

2018; Sitawarin et al., 2018; Papernot et al., 2018) investigated the vulnerability of deep learning models to adversarial attacks in medical image segmentation tasks, and proposed a method to improve their robustness. 2018; Pang et al., Neural Networks, 64, 59–63. Intriguing properties of neural networks.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 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 Language Understanding by Generative Pre-Training Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

This leads to the same size and architecture as the original neural network. Her research interests lie in Natural Language Processing, AI4Code and generative AI. He joined Amazon in 2016 as an Applied Scientist within SCOT organization and then later AWS AI Labs in 2018 working on Amazon Kendra.

Natural Language Processing 108

Natural Language Processing NLP Large Language Models LLM 108

Chatbots Life

MARCH 17, 2023

Timeline by Antoine Louis on A Brief History of Natural Language Processing Siri, Google Assistant, Cortana, and Alexa, are the successive technologies rolled out in the 20th century. Simply put, GPTs are machine learning models based on the neural network architecture that mimics the human brain.

Conversational AI 52

Conversational AI ChatGPT Neural Network Chatbots 52

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. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Radford et al.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Sebastian Ruder

AUGUST 18, 2019

Throughout its history, most of the major improvements on this task have been driven by different forms of transfer learning: from early self-supervised learning with auxiliary tasks ( Ando and Zhang, 2005 ) and phrase & word clusters ( Lin and Wu, 2009 ) to the language model embeddings ( Peters et al., 2018 ; Akbik et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. and GPT-4, marked a significant advancement in the field of large language models.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 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).  2020 saw the development of ever larger language and dialogue models such as Meena ( Adiwardana et al.,

NLP 52

NLP ML Computer Vision Neural Network 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Sebastian Ruder

JANUARY 6, 2020

 State-of-the-art neural networks are getting larger and more expensive to train and to use for prediction. Investigating what makes winning tickets special should also help us gain a better understanding of the initialisation and learning dynamics of neural networks. 3) The Neural Tangent Kernel What happened?  

NLP 52

NLP ML Neural Network BERT 52

Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. How RoBERTa Works It works by pre-training a deep neural network on a large corpus of text.

BERT 52

BERT NLP Deep Learning Neural Network 52

Sebastian Ruder

OCTOBER 26, 2019

Depending on the task, there are other ways of transferring information across languages such as by domain adaptation (as seen above), annotation projection ( Padó & Lapata, 2009 ; Ni et al., 2017 ; Nicolai & Yarowsky, 2019 ), distant supervision ( Plank & Agić, 2018 ) or machine translation (MT; Zhou et al.,

BERT 52

BERT NLP Neural Network Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. His research interests are graph neural networks, computer vision, time series analysis and their industrial applications. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ).

Computer Vision 80

Computer Vision Machine Learning ML Convolutional Neural Networks 80

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). Building on seminal work from Kiros et al.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

John Snow Labs

JUNE 6, 2023

Sequence classification with transformers is a powerful technique in the field of natural language processing (NLP) that involves predicting a label or category for a sequence of data. BERT (Bidirectional Encoder Representations from Transformers) is a language model that was introduced by Google in 2018.

BERT 52

BERT Python NLP Neural Network 52

PyImageSearch

JANUARY 2, 2023

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). Because of its sensitive nature, managing mental health is more effective when the person receiving care interacts with the healthcare provider.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

ML Review

MARCH 5, 2019

Conducting exploratory search is difficult in standard IR systems as terminology might differ even in closely related fields (network analyses vs graph neural networks). In 2018, over 1000 papers have been released on ArXiv per month in the above areas. Every month except January.

AI Research 52

AI Research AI Researcher Neural Network AI 52

Explosion

MARCH 17, 2019

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. spaCy is an open-source library for industrial-strength natural language processing in Python. Version 2.1 Prodigy is a fully scriptable annotation tool that complements spaCy extremely well.

NLP 52

NLP Python Neural Network Natural Language Processing 52

Sebastian Ruder

AUGUST 15, 2021

NLP is all about pre-trained Transformers This should come as no surprise but it's still interesting to see that among the 14 "hot" topics of 2021 (see below) were five pre-trained models (BERT, RoBERTa, BART, GPT-2, XLM-R) and one general "Language models" topic. combine neural networks with a non-parametric memory.

NLP 52

NLP Explainability Neural Network Natural Language Processing 52

Explosion

NOVEMBER 21, 2019

from_disk("/path/to/s2v_reddit_2015_md") nlp.add_pipe(s2v) doc = nlp("A sentence about natural language processing.") text == "natural language processing" freq = doc[3:6]._.s2v_freq For more examples and the full API documentation, see the GitHub repo. from sense2vec import Sense2Vec s2v = Sense2Vec().from_disk("/path/to/s2v_reddit_2015_md")

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). The recent history of PBAs begins in 1999, when NVIDIA released its first product expressly marketed as a GPU, designed to accelerate computer graphics and image processing.

ML 102

ML Deep Learning Algorithm Large Language Models 102

Explosion

AUGUST 1, 2019

Transformers and transfer-learning Natural Language Processing (NLP) systems face a problem known as the “knowledge acquisition bottleneck”. Deep neural networks have offered a solution, by building dense representations that transfer well between tasks. We have updated our library and this blog post accordingly.

BERT 52

BERT NLP Neural Network Categorization 52

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. Cross-Task Generalization via Natural Language Crowdsourcing Instructions. De Sa, C.,

NLP 52

NLP ML BERT Computational Linguistics 52