AssemblyAI

JANUARY 23, 2025

Unlike many natural language processing (NLP) models, which were historically dominated by recurrent neural networks (RNNs) and, more recently, transformers, wav2letter is designed entirely using convolutional neural networks (CNNs). What sets wav2letter apart is its unique architecture.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

IBM Journey to AI blog

APRIL 4, 2023

The AI translates the metadata from each shot into descriptive textual elements. That text goes through two neural networks, where hundreds of millions of computations are performed to produce thousands of possible sentences.

Large Language Models 242

Large Language Models Neural Network Metadata AI Modeling 242

Unite.AI

SEPTEMBER 18, 2023

The above image depicts the architecture of deep learning perceptron, and as it can be seen in the image, a deep learning framework employs a multiple-level neural network architecture to learn the features in the data. Each perceptron layer in the framework is connected to the next layer in order to form a deep learning framework.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Towards AI

MARCH 12, 2025

Tokens: Fundamental unit that neural networks process. Metadata (optional): May include timestamps, speaker labels, or token-counts per speaker (for advanced models). Neural networks expect numeric arrays (tensors) with uniform dimensions (batch size sequence length), not simple lists of integers.

LLM 55

LLM BERT Neural Network Metadata 55

PyImageSearch

DECEMBER 19, 2022

Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? It combines depth perception with neural network inference through an easy-to-use Python API.

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

AWS Machine Learning Blog

JUNE 22, 2023

The final ML model combines CNN and Transformer, which are the state-of-the-art neural network architectures for modeling sequential machine log data. The ML model takes in the historical sequence of machine events and other metadata and predicts whether a machine will encounter a failure in a 6-hour future time window.

Neural Network 112

Neural Network Metadata ML Machine Learning 112

AWS Machine Learning Blog

MAY 15, 2023

Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

Neural Network 98

Neural Network Convolutional Neural Networks Metadata Data Scientist 98

Marktechpost

OCTOBER 31, 2023

CLIP is a neural network developed by OpenAI trained on a massive dataset of text and image pairs. In this research paper, the researchers have tried to make the data curation approach of CLIP available to the public and have introduced Metadata-Curated Language-Image Pre-training (MetaCLIP).

Metadata 104

Metadata Computer Vision Neural Network Algorithm 104

NVIDIA

MAY 1, 2024

CLIP is a neural network that, through training and refinement, learns visual concepts from natural language supervision — that is, the model recognizes what it’s “seeing” in image collections. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

AI Modeling 129

AI Modeling Neural Network Chatbots Metadata 129

Towards AI

AUGUST 8, 2024

Manifest relies on runtime metadata, such as a function’s name, docstring, arguments, and type hints. It uses this metadata to compose a prompt and sends it to an LLM. Featured Community post from the Discord Arwmoffat just released Manifest, a tool that lets you write a Python function and have an LLM execute it. Meme of the week!

Neural Network 111

Neural Network Metadata Explainability LLM 111

Marktechpost

MARCH 8, 2025

Representation learning-based approaches map images into binary Hamming space using hash functions or encode them into latent semantic spaces with deep neural networks. Existing approaches tried to address multimodal retrieval challenges.

Neural Network 44

Neural Network BERT Metadata AI Researcher 44

AWS Machine Learning Blog

OCTOBER 29, 2024

We also store the video summaries, sentiments, insights, and other workflow metadata in DynamoDB, a NoSQL database service that allows you to quickly keep track of the workflow status and retrieve relevant information from the original video. In the next step of the workflow, we use LLMs available through Amazon Bedrock.

Generative AI 113

Generative AI ML AI AI 113

Marktechpost

MAY 30, 2024

Participants learn to build metadata for documents containing text and images, retrieve relevant text chunks, and print citations using Multimodal RAG with Gemini. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Towards AI

MAY 3, 2024

The structure is loaded using the pydicom.dcmread function, from which metadata (such as the patient’s name) and studies containing the images can be extracted. I also found a notebook with a neural network that can categorize the images with perfect accuracy. To read the DICOM files, we use the Pydicom library.

Neural Network 101

Neural Network Categorization Metadata AI 101

Marktechpost

APRIL 15, 2024

The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. PyTorch and TensorFlow plugins present limitations in accepting custom graph objects, while GNN operations require additional metadata in system APIs, leading to inconsistencies.

Deep Learning 120

Deep Learning Neural Network Metadata Automation 120

Marktechpost

AUGUST 13, 2023

This is especially the case when thinking about the robustness and fairness of deep neural network models, both of which are essential for models used in practical settings in addition to their sheer accuracy. Most publicly available image databases are difficult to edit beyond crude image augmentations and lack fine-grained metadata.

AI Researcher 98

AI Researcher AI Research Neural Network Metadata 98

Marktechpost

JUNE 18, 2024

The primary challenge lies in developing a single neural network capable of handling a broad spectrum of tasks and modalities while maintaining high performance across all domains. The approach incorporates over 20 modalities, including SAM segments, 3D human poses, Canny edges, color palettes, and various metadata and embeddings.

AI Modeling 125

AI Modeling Metadata Large Language Models Neural Network 125

Unite.AI

JULY 31, 2023

However, this approach needs to filter images, and it works best only when a textual metadata is present. The figure below compares the pre-training of a ResNetXt101-32dx8d architecture trained on random images with the same architecture being trained on labeled images with hashtags and metadata, and reports the top-1 accuracy for both.

Computer Vision 246

Computer Vision Metadata Natural Language Processing ML 246

IBM Journey to AI blog

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Unite.AI

DECEMBER 19, 2023

This is done on the features that security vendors might sign, starting from hardcoded strings, IP/domain names of C&C servers, registry keys, file paths, metadata, or even mutexes, certificates, offsets, as well as file extensions that are correlated to the encrypted files by ransomware.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

AWS Machine Learning Blog

APRIL 5, 2023

Contrastive Language-Image Pre-Training (CLIP) is a neural network trained on a variety of image and text pairs. The CLIP neural network is able to project both images and text into the same latent space , which means that they can be compared using a similarity measure, such as cosine similarity. contains image metadata.

Metadata 113

Metadata Neural Network ML Python 113

Marktechpost

JULY 7, 2024

It consists of two separate neural networks: one for encoding user features and the other for encoding item features. Item Tower: Encodes item features like metadata, content characteristics, and contextual information. The model projects users and items into a shared latent space where their compatibility can be measured.

Algorithm 106

Algorithm Neural Network Metadata Large Language Models 106

Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are a type of neural network model trained on vast amounts of text data. [link] Understanding Large Language Models Before diving into the deployment process, let's briefly understand what Large Language Models are and why they are gaining so much attention. Docker image.

Large Language Models 130

Large Language Models LLM Metadata BERT 130

Google Research AI blog

FEBRUARY 24, 2023

These works along with those developed by others in the field have showcased how deep neural networks can potentially transform end user experiences and the interaction design practice. This metadata has given previous models advantages over their vision-only counterparts. their types, text content and positions).

Metadata 122

Metadata Neural Network Software Engineer Natural Language Processing 122

TensorFlow

NOVEMBER 29, 2023

Performance Improvements Half-precision inference has already been battle-tested in production across Google Assistant, Google Meet, YouTube, and ML Kit, and demonstrated close to 2X speedups across a wide range of neural network architectures and mobile devices. target_spec. supported_types = [tf. float16] converter. target_spec.

Metadata 95

Metadata Neural Network Software Engineer Computer Vision 95

Marktechpost

SEPTEMBER 29, 2024

In response, Google utilizes a deep neural network, CTG-net, to process the time-series data of fetal heart rate (FHR) and uterine contractions (UC) in order to predict fetal hypoxia. The CTG-net model utilizes a convolutional neural network (CNN) architecture to analyze FHR and UC signals, learning their temporal relationships.

Deep Learning 62

Deep Learning Convolutional Neural Networks AI Researcher AI Research 62

Unite.AI

SEPTEMBER 14, 2023

Decentralized data management methods on the other hand have been designed to be deployed at the node levels in the network considering the spatial and temporal attributes in the data. Furthermore, to maintain the provenance and security of the data, decentralized management schemes can put the metadata on the blockchain.

AI 319

AI AI Algorithm Machine Learning 319

AWS Machine Learning Blog

JANUARY 6, 2023

In this post, we illustrate how to handle OOC by utilizing the power of the IMDb dataset (the premier source of global entertainment metadata) and knowledge graphs. Creates a Lambda function to process and load movie metadata and embeddings to OpenSearch Service indexes ( **-ReadFromOpenSearchLambda-** ).

Metadata 101

Metadata Machine Learning Data Scientist ML 101

AssemblyAI

SEPTEMBER 22, 2023

The model is trained conditionally on text metadata alongside audio file duration and initiation time. As for any diffusion model , Stable Audio adds noise to the audio vector, which a U-Net Convolutional Neural Network learns to remove, guided by the text and timing embeddings.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

AWS Machine Learning Blog

APRIL 3, 2024

Each encoder generates embeddings capturing semantic features of their respective modalities Modality fusion – The embeddings from the uni-modal encoders are combined using additional neural network layers. Load the publicly available Amazon Berkeley Objects Dataset and metadata in a pandas data frame.

Machine Learning 136

Machine Learning Metadata Generative AI ML 136

Towards AI

JULY 8, 2024

This system is trained using a masked modeling objective across diverse input/output modalities, including text, images, geometric and semantic data, and neural network feature maps. Metadata: Various types of metadata from RGB images and other modalities. Improve performance when fine-tuned for new tasks or modalities.

Metadata 81

Metadata Neural Network Machine Learning Generative AI 81

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

AUGUST 2, 2023

Images can often be searched using supplemented metadata such as keywords. However, it takes a lot of manual effort to add detailed metadata to potentially thousands of images. Generative AI (GenAI) can be helpful in generating the metadata automatically. This helps us build more refined searches in the image search process.

Automation 97

Automation Generative AI Metadata Machine Learning 97

NVIDIA

JUNE 7, 2024

By combining the accelerated LSTM deep neural network with its existing methods, American Express has improved fraud detection accuracy by up to 6% in specific segments. However, the value of this imagery can be limited if it lacks specific location metadata.

Auto-complete 124

Auto-complete Metadata Data Scientist Data Science 124

Bugra Akyildiz

FEBRUARY 22, 2025

Two-Tower Model Design The core technical innovation lies in a dual neural network architecture, which is also the industry standard: User Tower : Processes user-specific features including long-term engagement history(captured through sequence modeling), demographic/profile data, and real-time context (device type, location, etc.).

LLM 59

LLM Metadata Large Language Models Artificial Intelligence 59

Towards AI

JUNE 4, 2024

Google Deepmind is also working on AI weather models, including graphcast based on graph neural networks last year. They can categorize nodes and relationships into types with associated metadata, treat your graph as a superset of a vector database for hybrid search, and express complex queries using the Cypher graph query language.

LLM 103

LLM Neural Network AI AI 103

AWS Machine Learning Blog

JULY 6, 2023

The model can be stored and imported in standard formats supported by the common ML frameworks, such as pickle, joblib, and ONNX ( Open Neural Network Exchange ). Where there isn’t a property available in the model package , the data can be stored as custom metadata or in an S3 file.

ML 104

ML Data Scientist Metadata Python 104