Google Research AI blog

JUNE 6, 2023

Posted by Ruofei Du, Research Scientist, and Alex Olwal, Senior Staff Research Scientist, Google Augmented Reality Recent advances in video conferencing have significantly improved remote video communication through features like live captioning and noise cancellation. dataset for the research community.

Deep Learning 69

Deep Learning Deep Learning 69

ODSC - Open Data Science

FEBRUARY 2, 2024

Surya  — A multilingual document OCR toolkit. raised north of $150M in a Series D round. raised north of $150M in a Series D round.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AssemblyAI

NOVEMBER 3, 2023

Typically, large quantities of data are required to train the AI model to create accurate speech-to-text transcriptions. For example, if a business has custom terms, such as the name of the business, products or features, it can be helpful to note specific spellings or vocabulary for the speech-to-text AI model to process.

AI 52

AI AI Deep Learning Deep Learning 52

ODSC - Open Data Science

MARCH 1, 2023

ChatGPT was created by OpenAI, one of the global leaders in AI research and a creator of an equally impressive AI-based art generator tool called DALLE-2. Moreover, ChatGPT can be trained to incorporate specific writing styles and vocabularies that match your company’s style guide. How can businesses use ChatGPT?

Natural Language Processing 97

Natural Language Processing Data Science AI AI 97

Towards AI

FEBRUARY 14, 2023

Research Every month we analyze the most recent research literature and select a varied set of 10 papers you should know of. A Watermark for Large Language Models By John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein. Source: [link] 2.

AI 92

AI AI Azure ML 92

Dataconomy

DECEMBER 11, 2023

This feature is especially useful for students, journalists, and professionals who need to quickly summarize large amounts of information. This feature is a game-changer for researchers and students who need to include citations in their work. This will help JotBot tailor its writing to your specific style.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Google Research AI blog

AUGUST 18, 2023

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning , visual question answering (VQA) , and open vocabulary recognition.

Machine Learning 92

Machine Learning Machine Learning 92

Towards AI

SEPTEMBER 5, 2023

What happened this week in AI by Louie This week in AI, we highlight further evidence of the adoption of Large Language Models (LLMs) driving significant revenue growth in the Western market, as well as the introduction of new AI models in China. The WeatherBench 2 dataset aims to enhance ML research in weather forecasting.

AI 91

AI AI Machine Learning Machine Learning 91

Heartbeat

MARCH 15, 2023

This model is trained on a large amount of text data from multiple languages, which makes it capable of understanding and generating text in different languages. Larger BPE RoBERTa uses a larger byte-pair encoding (BPE) vocabulary size compared to the original BERT model. Here’s a high-level overview of how it works.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Snorkel AI

MARCH 24, 2023

Snorkel AI researchers continue to push the frontier of machine learning, as demonstrated by the 18 research papers recently added to our website. This batch of research papers, all published in 2022, present new developments in weak supervision and foundation models. Below follows a summary of each of the papers. Zhang, et al.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Supervised Learning 52

Snorkel AI

MARCH 24, 2023

Snorkel AI researchers continue to push the frontier of machine learning, as demonstrated by the 18 research papers recently added to our website. This batch of research papers, all published in 2022, present new developments in weak supervision and foundation models. Below follows a summary of each of the papers. Zhang, et al.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Supervised Learning 52

Google Research AI blog

JUNE 21, 2023

Posted by Jimmy Tobin and Katrin Tomanek, Software Engineers, Google Research, AI for Social Good Google’s AI for Social Good team consists of researchers, engineers, volunteers, and others with a shared focus on positive social impact. In addition, the personalized models did not always perform well in freeform conversation.

AI 98

AI AI 98

AssemblyAI

SEPTEMBER 20, 2023

Audrey could only comprehend numbers, and it wasn’t until a decade later that researchers added rudimentary word comprehension. It also lets you eyeball the differences between two large blocks of texts for a quick comparison. Any API you consider should have a strong focus on AI research. Are proper nouns capitalized?

AI 52

AI AI AWS Python 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Over the course of four sessions, you’ll learn the concepts and vocabulary you need to get the most out of your conference experience.

Azure 52

Azure ML ML Data Science 52

AssemblyAI

SEPTEMBER 12, 2023

Audrey could only transcribe spoken numbers, but a decade later, researchers improved upon Audrey so that it could transcribe rudimentary spoken words like “hello” For most of the past fifteen years, ASR has been powered by classical Machine Learning technologies like Hidden Markov Models. Also referred to as speaker labels.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Smart Data Collective

FEBRUARY 25, 2021

Any formulation of digital marketing strategy involves four steps, which are: Market Research. Carry out thorough market research, examining your target customers, competitors, and preferences of your target audience. By and large, buyers go through the following phases in their buying journey: They know about your products.

AI 101

AI AI Big Data Big Data 101

AssemblyAI

DECEMBER 23, 2022

Similarly to many Large Language Models, ChatGPT is capable of generating text in a wide range of styles and for different purposes, but with remarkably greater precision, detail, and coherence. The alignment problem in Large Language Models typically manifests as: Lack of helpfulness: not following the user's explicit instructions.

Supervised Learning 98

Supervised Learning Algorithm Deep Learning Deep Learning 98

Google Research AI blog

MAY 12, 2023

Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, Google Research Detection is a fundamental vision task that aims to localize and recognize objects in an image. This is orders of magnitude smaller than the vocabulary people use to describe the visual world and leaves out many categories.

Supervised Learning 96

Supervised Learning 96

Google Research AI blog

AUGUST 22, 2023

Posted by Wenhao Yu and Fei Xia, Research Scientists, Google Empowering end-users to interactively teach robots to perform novel tasks is a crucial capability for their successful integration into real-world applications.

Python 94

Python Algorithm Deep Learning Deep Learning 94

AssemblyAI

MAY 14, 2024

The technology allows students to practice reading aloud while the system analyzes their phonological awareness, phonics skills, oral reading fluency, vocabulary, and comprehension. It uses state-of-the-art deep learning models trained on diverse, large datasets to catch subtle patterns in speech that may indicate depression or anxiety.

AI 59

AI AI Natural Language Processing Data Analysis 59

Heartbeat

AUGUST 23, 2023

NLP has the ability to revolutionize the legal landscape as we know it by teaching robots the complexities of legal vocabulary, grammar, and semantics. NLP, a research field that combines linguistics, computer science, and artificial intelligence, gives robots the extraordinary capacity to comprehend and process human language.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

JUNE 9, 2023

Word2Vec, encoder-decoder models, attention and transformers, pre-trained models, and transfer models have paved the way for what we’re seeing right now — GPT and large language models that can take billions of parameters. It uses a neural network to learn the vector representations of words from a large corpus of text.

Natural Language Processing 52

Natural Language Processing AI AI Data Science 52

Heartbeat

FEBRUARY 7, 2023

The ability of neural language models to handle vast vocabularies and intricate syntactic structures is one of its main features. Development of language models NLP has seen a lot of growth and advancement over the past few years due to research breakthroughs in machine learning and deep learning. Comet’s experiment tracking.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

AUGUST 10, 2023

And with open-source becoming the norm, most AI models are available for public use for research and experimentation. LLaMa Image Source: Meta Within the text generator domain, Large Language Model Meta AI (LLaMa) is a revolutionary technology that surpasses ChatGPT-3 by Open AI regarding safety and quality.

AI 52

AI AI ML ML 52

Heartbeat

FEBRUARY 27, 2024

Furthermore, different languages have diverse vocabularies, making creating universally understandable and effective prompts challenging. Transfer learning can address data availability by starting with a model trained on a large dataset of text in one language and then fine-tuning the model on a smaller dataset of text in another language.

Deep Learning 40

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 40

Mlearning.ai

APRIL 1, 2023

It was first introduced in 2013 by a team of researchers at Google led by Tomas Mikolov. Doc2Vec was introduced in 2014 by a team of researchers led by Tomas Mikolov. UMAP is chosen because it preserves local and global structure and can scale to very large datasets. size represents the dimensionality of the word vectors.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Snorkel AI

FEBRUARY 10, 2023

At the August 2022 FDCAI virtual conference hosted by Snorkel AI, Meta senior applied research manager Anoop Sinha and Snorkel AI co-founder Braden Hancock joined the founder of TWIML , Sam Charrington, for a panel discussion on the current state and future potential for mastering speech and search AI with data-centric natural language processing.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

FEBRUARY 10, 2023

At the August 2022 FDCAI virtual conference hosted by Snorkel AI, Meta senior applied research manager Anoop Sinha and Snorkel AI co-founder Braden Hancock joined the founder of TWIML , Sam Charrington, for a panel discussion on the current state and future potential for mastering speech and search AI with data-centric natural language processing.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Google Research AI blog

APRIL 30, 2023

We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels. Continue below to find the many ways in which Google researchers are engaged at ICLR 2023, including workshops, papers, posters and talks (Google affiliations in bold ).

Supervised Learning 105

Supervised Learning Machine Learning Machine Learning Deep Learning 105

Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. GCNs use a combination of graph-based representations and convolutional neural networks to analyze large amounts of textual data.

Natural Language Processing 59

Natural Language Processing Deep Learning Deep Learning Machine Learning 59

AssemblyAI

SEPTEMBER 12, 2023

Do you need a solution tailored for large-scale, global monitoring or a more localized approach? These could be timestamps, speaker labels, automatic punctuation and casing, international language support, custom vocabulary, profanity filtering, and filler word omissions. Scalability: Determine the volume of media you need to monitor.

AI 52

AI AI 52

AWS Machine Learning Blog

MARCH 13, 2024

Gemma model Gemma is a family of lightweight, state-of-the-art models built from the same research and technology used to create the Gemini models. Because of the large vocabulary size of 256 thousand tokens, Gemma 7B can only fit on a single A10G GPU when supporting a 1 thousand context length. gemma-2b-instruct ml.g5.xlarge

Machine Learning 106

Machine Learning Machine Learning Algorithm Python 106

Towards AI

MAY 6, 2024

The goal is to keep you up to date with machine learning projects, research papers, and concepts. Multi-Token Prediction The core of the research paper is based on a multi-token prediction task as an alternative to the single token prediction model. From research to projects and ideas. Published via Towards AI

Machine Learning 90

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 90

Google Research AI blog

MARCH 23, 2023

While there have been many recent advances in training joint visual-language models on Internet-scale data, figuring out how to best connect them to a spatial representation of the physical world that can be used by robots remains an open research question.

114

114

Google Research AI blog

JUNE 27, 2023

Posted by Kuniaki Saito, Student Researcher, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Perception Team Pre-training visual language (VL) models on web-scale image-caption datasets has recently emerged as a powerful alternative to traditional pre-training on image classification data. Illustration of the Prefix Conditioning.

Natural Language Processing 62

Natural Language Processing AI AI 62

ODSC - Open Data Science

APRIL 11, 2023

Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation. Transformers-based large language models (LLMs) such as GPT-3, Jurasic, and T5 have been foundational to the advances that we see.

Data Science 96

Data Science Natural Language Processing Data Scientist Big Data 96

Explosion

AUGUST 1, 2019

Transformer-based pipelines won’t be perfect for every use-case, but they’re not just for research either: even if you’re processing text at scale, there are lots of ways your team could make use of these huge but highly accurate models. The spacy-transformers package was previously called spacy-pytorch-transformers.

Natural Language Processing 52

Natural Language Processing AWS Machine Learning Machine Learning 52