Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Deep Learning Convolutional Neural Networks Neural Network Explainability 59

IBM Journey to AI blog

NOVEMBER 14, 2023

Serve : Build cloud services for data products through automation and platform service technology so they can be operated securely at global scale. Realize: Instrument the data product services to enable adherence to risk and compliance controls with event and metrics data integrated to financial management.

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Marktechpost

OCTOBER 2, 2024

Researchers have started exploring deep learning methods to address these limitations, which can model complex relationships between various environmental predictors and species observations. This innovative framework, built using PyTorch and PyTorch Lightning, provides a seamless platform for training and inferring deep SDMs.

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IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Machine Learning Automation AI AI 225

PyImageSearch

JANUARY 6, 2025

Summary In this blog post, we delve into the essential task of identifying anomalies within datasets, a critical step for improving data integrity and analysis accuracy. We start by defining what an outlier is and explain its importance in various fields (e.g., finance, healthcare, and quality control). Thakur, eds.,

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Marktechpost

FEBRUARY 5, 2024

These models, known for their prowess in crafting detailed images from given inputs, have presented unique challenges for data deletion, primarily due to their deep learning nature, which inherently remembers training data.

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Marktechpost

JULY 7, 2024

Two-Tower Model The two-tower model, also known as the dual-tower model, is a deep learning architecture widely used in recommendation systems. While these systems enhance user engagement and drive revenue, they also present challenges like data quality and privacy concerns.

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The MLOps Blog

JUNE 27, 2023

Data storage and versioning You need data storage and versioning tools to maintain data integrity, enable collaboration, facilitate the reproducibility of experiments and analyses, and ensure accurate ML model development and deployment. Easy collaboration, annotator management, and QA workflows.

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Marktechpost

DECEMBER 14, 2024

By leveraging advanced deep learning models, these embeddings streamline the processing and analysis of satellite imagery on a global scale. Features of the Global Embeddings Dataset The embedding datasets, derived from Major TOM Core datasets, include over 60 TB of AI-ready Copernicus data.

Deep Learning 78

Deep Learning Metadata Data Analysis Data Integration 78

Aiiot Talk

SEPTEMBER 13, 2023

Google Cloud Platform Google Cloud stands out for its AI and machine learning capabilities. It has tools like BigQuery for real-time analytics and AutoML for users without deep learning expertise. You and your team of data scientists can work on projects together, no matter the location.

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Marktechpost

MAY 12, 2024

Fraud.net Fraud.net’s AI and Machine Learning Models use deep learning, neural networks, and data science methodologies to improve insights for various industries, including financial services, e-commerce, travel and hospitality, insurance, etc.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

We first highlight how we use AWS Glue for highly parallel data processing. We then discuss how Amazon SageMaker helps us with feature engineering and building a scalable supervised deep learning model. This dramatically reduces the size of data while capturing features that characterize the equipment’s behavior.

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Machine Learning Deep Learning ML Computer Vision 112

Marktechpost

SEPTEMBER 30, 2024

While some progress has been made in enhancing retrieval mechanisms through latent semantic analysis (LSA) and deep learning models, these methods still need to address the semantic gaps between queries and documents.

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BERT Algorithm Deep Learning Data Integration 107

NVIDIA

OCTOBER 23, 2024

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

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LLM Generative AI Natural Language Processing Computer Vision 113

ODSC - Open Data Science

APRIL 6, 2023

Each of these creates visualizations and reports based on data stored in a database. They often provide drag-and-drop interfaces that allow non-technical users to create reports and dashboards using SQL queries as the underlying data source. Data integration tools allow for the combining of data from multiple sources.

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Marktechpost

FEBRUARY 23, 2025

Decision Engines: At the core of an AI agent is its decision engine, which uses a blend of machine learning models, statistical algorithms, and rule-based logic to choose appropriate actions. Both IBM and GitHub detail how these engines incorporate deep learning and reinforcement learning to improve over time.

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Marktechpost

DECEMBER 12, 2024

PyTorch has introduced torchcodec , a machine learning library designed specifically to decode videos into PyTorch tensors. This new tool bridges the gap between video processing and deep learning workflows, allowing users to decode, load, and preprocess video data directly within PyTorch pipelines.

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Unite.AI

SEPTEMBER 24, 2024

Fourkites FourKites is a leading real-time supply chain visibility platform that leverages advanced artificial intelligence and machine learning to provide end-to-end tracking and predictive analytics for global supply chains.

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AI Tools Natural Language Processing Machine Learning Artificial Intelligence 157

The MLOps Blog

MAY 10, 2023

In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. Saving deep learning model with TensorFlow Keras TensorFlow is a popular framework for training DL-based models, and Ker as is a wrapper for TensorFlow. Now let’s see how we can save our model.

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Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Techniques such as Machine Learning and Deep Learning enable better variant interpretation, disease prediction, and personalised medicine.

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IBM Journey to AI blog

JUNE 20, 2024

In support of this use case, the IBM z16™ system can process up to 228 thousand z/OS CICS credit card transactions per second with 6 ms response time, each with an in-transaction fraud detection inference operation using a Deep Learning Model. x86 configuration: Tensorflow Serving 2.4 ran on Ubuntu 20.04.3

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Pickl AI

OCTOBER 23, 2024

Summary : ACID properties in DBMS—Atomicity, Consistency, Isolation, and Durability—are fundamental for ensuring reliable transactions and maintaining data integrity. Introduction Database Management Systems (DBMS) are crucial in storing, retrieving, and managing data efficiently.

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Marktechpost

JULY 17, 2023

Predictive analytics can make use of both structured and unstructured data insights. What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. In this article, some of them are described.

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Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

OCTOBER 9, 2023

The Solution: XYZ Retail embarked on a transformative journey by integrating Machine Learning into its demand forecasting strategy. Retailers must ensure data is clean, consistent, and free from anomalies. Consistently review and purify data to uphold its accuracy. Invest in robust data integration to maximize insights.

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AWS Machine Learning Blog

APRIL 22, 2024

Purpose-built to handle deep learning models at scale, Inf2 instances are indispensable for deploying ultra-large models while meeting sustainability goals through improved energy efficiency. Figure 4: AWS generative AI stack 6.

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ESG Generative AI AI AI 128

Heartbeat

OCTOBER 25, 2023

This integration requires sophisticated computational methods, such as data integration algorithms and network analysis approaches, which enable extracting meaningful insights from multiple layers of biological data. Deep learning, a subset of machine learning, has revolutionized image analysis in bioinformatics.

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Heartbeat

OCTOBER 23, 2023

Image and Signal Processing: In medical imaging and signal processing, data scientists and machine learning engineers employ advanced algorithms to extract valuable information from images, such as CT scans, MRIs, and EKGs. NLP also enables efficient information retrieval, literature reviews, and evidence-based medicine.

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Marktechpost

JUNE 14, 2024

Researchers have drawn parallels between protein sequences and natural language due to their sequential structures, leading to advancements in deep learning models for both fields. LLMs have excelled in NLP tasks, and this success has inspired attempts to adapt them to understanding proteins.

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Large Language Models NLP Deep Learning Data Quality 56

Topbots

OCTOBER 4, 2023

They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. In some cases, deep learning algorithms and reinforcement learning demonstrate exceptional performance for predictive AI tasks thanks to their ability to learn complex patterns in data.

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Heartbeat

FEBRUARY 8, 2024

Building the Model Deep learning techniques have proven to be highly effective in performing cross-modal retrieval. By training a joint model that maps images and textual data into a shared embedding space, we can measure their compatibility and similarity. Images are visual data, while text is linguistic data.

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Neural Network Deep Learning Convolutional Neural Networks Computer Vision 52

Viso.ai

JULY 26, 2024

OpenVINO ensures high performance and scalability by optimizing deep learning model efficiency on Intel hardware. With this integration, ML teams can select pre-trained, optimized AI inference models. With Viso Suite, organizations can access end-to-end computer vision infrastructure with OpenVINO’s out-of-the-box capabilities.

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AWS Machine Learning Blog

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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Heartbeat

OCTOBER 12, 2023

Challenges in Multi-Modal Learning Multi-modal learning, the convergence of multiple data modalities (e.g., Heterogeneous Data Integration : Combining data from different modalities that differ in format, scale, and dimensionality requires careful integration.

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Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Heartbeat

MAY 29, 2023

It helps in standardizing the text data, reducing its dimensionality, and extracting meaningful features for machine learning models. Batch size and learning rate are two important hyperparameters that can significantly affect the training of deep learning models, including LLMs.

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Large Language Models Machine Learning LLM Natural Language Processing 78

Pickl AI

AUGUST 9, 2024

Data Warehousing Solutions Tools like Amazon Redshift, Google BigQuery, and Snowflake enable organisations to store and analyse large volumes of data efficiently. Students should learn about the architecture of data warehouses and how they differ from traditional databases.

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Big Data Machine Learning Algorithm Data Scientist 52

Flipboard

AUGUST 17, 2023

It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

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Marktechpost

JULY 17, 2023

CVEDIA A provider of AI solutions, CVEDIA creates “synthetic algorithms”—off-the-shelf computer vision algorithms utilizing fake data. SynCity, CVEDIA technology was created using data science and deep learning theory based on their own simulation engine.

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Machine Learning Data Scientist Computer Vision Deep Learning 52