AWS Machine Learning Blog

APRIL 5, 2023

He has been working on several AI/ML projects related to computer vision, natural language processing, personalization, ML at the edge, and more. He helps customers creating AI/ML solutions which solve their business challenges using AWS.

ML 77

ML Python Automation Natural Language Processing 77

Marek Rei

JANUARY 9, 2019

It is time for another yearly update of the publication statistics in Machine Learning and Natural Language Processing. Venues We start off by looking at the publications at all the conferences between 2012-2018. Looking at the whole period between 2012-2018, the ranking is relatively similar. Smith (Washington).

NLP 52

NLP ML Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

MARCH 12, 2024

t “enclave_base” Save the LLM in the EC2 Instance We are using the open-source Bloom 560m LLM for natural language processing to generate responses. This model is not fine-tuned to PII and PHI, but demonstrates how an LLM can live inside of an enclave. app and run it inside the Cloud9 environment.

Large Language Models 90

Large Language Models LLM Chatbots Natural Language Processing 90

Dlabs.ai

OCTOBER 14, 2022

Sentiment analysis (also known as opinion mining) is a popular NLP ( Natural Language Processing ) solution where one identifies feelings and emotions expressed in words. And as early as 2012, a real-time sentiment analysis system tracked public opinion of U.S. What is sentiment analysis?

Categorization 52

Categorization Natural Language Processing Algorithm NLP 52

Explosion

SEPTEMBER 3, 2015

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. But most Natural Language Processing libraries do, and it’s terrible. Natural Language Processing (NLP) research moves very quickly. The new models supercede the old ones.

Natural Language Processing 40

Natural Language Processing NLP Python Deep Learning 40

Unite.AI

JANUARY 9, 2024

Apple prioritizes computer vision , natural language processing , voice recognition, and healthcare to enhance its products. Likewise, Microsoft strengthens its cloud and enterprise software through acquisitions in natural language processing , computer vision , and cybersecurity.

Natural Language Processing 147

Natural Language Processing Computer Vision Robotics AI 147

Topbots

JANUARY 11, 2023

Select all that apply * Natural Language Processing (NLP) Chatbots & Conversational AI Computer Vision Ethics & Safety Robotics Machine Learning Deep Learning Reinforcement Learning Generative Models Other (Please Describe Below) What is your biggest challenge with AI research? Enjoy this article?

Generative AI 40

Generative AI Explainability Deep Learning Neural Network 40

Towards AI

FEBRUARY 10, 2023

Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.

AI Modeling 86

AI Modeling Natural Language Processing Computer Vision AI 86

IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

Artificial Intelligence 184

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 184

Mlearning.ai

MARCH 9, 2023

2012; Otsu, 1979; Long et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., Generative adversarial networks-based adversarial training for natural language processing.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

AWS Machine Learning Blog

APRIL 23, 2024

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

ML 96

ML Python Machine Learning Generative AI 96

Snorkel AI

APRIL 25, 2023

This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. You can imagine something like image classification, natural language processing is something for speech processing, and so forth. Where do you apply them?

Machine Learning 52

Machine Learning Algorithm ML AI 52

Snorkel AI

APRIL 25, 2023

This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. You can imagine something like image classification, natural language processing is something for speech processing, and so forth. Where do you apply them?

Machine Learning 52

Machine Learning Algorithm ML AI 52

Lexalytics

APRIL 5, 2021

And indeed we can see other machine learning topics arising to take their place, like “optimization” in the mid-’00s, with “deep learning” springing out of nowhere in 2012. And in 2012, Alex Krizhevsky, Ilya Sutskever and Geoffrey E. This is the sort of representation that is useful for natural language processing.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

AWS Machine Learning Blog

MAY 12, 2023

He specializes in Natural Language Processing (NLP), Large Language Models (LLM) and Machine Learning infrastructure and operations projects (MLOps). To use the CodeWhisperer extension, ensure that you have the necessary permissions.

Auto-complete 79

Auto-complete Machine Learning ML Python 79

AWS Machine Learning Blog

APRIL 16, 2024

The advancement of LLMs has significantly impacted natural language processing (NLP)-based SQL generation, allowing for the creation of precise SQL queries from natural language descriptions—a technique referred to as Text-to-SQL. or later image versions. In his free time, he enjoys playing chess and traveling.

Data Scientist 90

Data Scientist Generative AI ML Machine Learning 90

Bugra Akyildiz

SEPTEMBER 24, 2023

This could lead to a new wave of innovation in the field of natural language processing. Overall, NVIDIA TensorRT LLM is a powerful new tool that can make LLMs more efficient and accessible. This allows certain classes of structures to be modeled with relatively low computational cost.

LLM 52

LLM Large Language Models Data Mining Natural Language Processing 52

Viso.ai

JANUARY 2, 2024

This early model set the stage for future developments by demonstrating the usefulness of CNNs in processing visual data using feature maps – source. In 2012, the AlexNet architecture, designed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton , marked a breakthrough in the ImageNet challenge by significantly reducing error rates.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Marktechpost

JULY 17, 2023

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. The current product, which debuted in 2015, was set upon two earlier products that were first introduced in 2012.

Machine Learning 87

Machine Learning Data Mining Data Scientist Artificial Intelligence 87

Flipboard

FEBRUARY 5, 2023

When Duolingo was launched in 2012 by Luis von Ahn and Severin Hacker out of a Carnegie Mellon University research project, the goal was to make an easy-to-use online language tutor that could approximate that supercharging effect. That’s enough to raise a person’s test scores from the 50th percentile to the 98th.

Machine Learning 182

Machine Learning AI AI Algorithm 182

AWS Machine Learning Blog

DECEMBER 14, 2023

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

Generative AI 98

Generative AI AI Tools ML AI 98

Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

NLP 52

NLP BERT Machine Learning Python 52

Sebastian Ruder

OCTOBER 26, 2019

2012 ), mostly requires superficial keyword-matching and CLWEs outperform deep representations ( Artetxe et al., However, even existing cross-lingual downstream tasks have their problems. Cross-lingual document classification, a classic task for the evaluation of cross-lingual representations ( Klementiev et al.,

BERT 52

BERT NLP Natural Language Processing Neural Network 52

Sebastian Ruder

DECEMBER 6, 2021

Such datasets focused mainly on Indo-European languages, though more recent ones also covered other languages, e.g. Hindi and Bengali at FIRE 2012 ( Yadav et al., Most of them are available in Chinese, Russian, and French and they generally consist of naturalistic data in each language.

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. Language as a game: the field of Emergent Communication Firstly, what is language? Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. This cat does not exist.

Neural Network 52

Neural Network AI AI Data Science 52

Explosion

FEBRUARY 18, 2015

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). The pre-processing was not subtracted from the times — I report the time required for the pipeline to complete.

NLP 52

NLP Natural Language Processing Software Engineer Explainability 52

AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. With the recent PyTorch 2.0 release, AWS customers can now do same things as they could with PyTorch 1.x

ML 69

ML Deep Learning BERT Python 69

Explosion

DECEMBER 17, 2013

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. The performance of our parser is made possible by an advance by Goldberg and Nivre (2012), who showed that we’d been doing this wrong for years. Dynamic programming algorithms for transition-based dependency parsers.

Python 45

Python Algorithm NLP Computational Linguistics 45

Viso.ai

DECEMBER 21, 2023

Solidifying this influence, Koller received the Time’s 100 Most Influential People recognition in 2012. His doctoral thesis studied the design of convolutional/recurrent neural networks and their applications across computer vision, natural language processing, and their intersections.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

MARCH 29, 2024

Modern Structured Knowledge: The term “knowledge graph” came into popularity in 2012 following its adoption by Google’s search engine, highlighting a knowledge fusion framework known as the Knowledge Vault (Google Knowledge Graph) for constructing large-scale knowledge graphs.

ML 52

ML Deep Learning NLP BERT 52

Probably Approximately a Scientific Blog

NOVEMBER 12, 2016

Google added this feature to its search engine in 2012, in which it presents information boxes above the regular search results, for some queries and questions. They parse the natural language query and try to retrieve results from their huge knowledge base, known as Google knowledge graph. Only that it doesn't.

NLP 52

NLP Natural Language Processing 52

Unite.AI

MAY 27, 2023

The power of AI-driven data analytics became evident in the 2012 and 2016 US election campaigns. In 2012, Obama's team used AI and big data to innovate voter targeting. Political chatbots can leverage Natural Language Processing (NLP) algorithms to understand text in real time.

Generative AI 217

Generative AI Chatbots AI AI 217