Big Data

Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation. Existing methods...

What is ETL? Top ETL Tools

Extract, Transform, and Load are referred to as ETL. ETL is the process of gathering data from numerous sources, standardizing it, and then transferring...

Top Artificial Intelligence (AI) And Machine Learning-Related Subreddits To Follow in 2022

Reddit is a top-rated social media platform among Millenials and Gen Z. This is a result of its transparency and user-friendliness. It offers customers...

Top Data Warehousing Tools in 2022

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of...

An Introduction to Automated Data Labeling

Artificial intelligence has made waves throughout the past decade, where advancements are showing up in everyday applications. But getting there requires a ton of...

Top Data Engineering Tools/Platforms in 2022

The phrase "data engineering tools" refers to a broad category of technologies that comprise the contemporary data stack. Modern data stacks require specialized technologies...

Meta Open Sources ‘Velox’: A C++ Vectorized Database Acceleration Library That Optimizes Query Engines And Data Processing

Velox, a unified execution engine, was recently developed and made publicly available by Meta in association with Intel, ByteDance, and Ahana. This function library...

Top Big Data Tools For Data Science And Machine Learning Projects in 2022

Big data describes the large, challenging volumes of structured and unstructured data that inundate businesses daily. However, what organizations do with the data matters...

Meet ‘NeuRRAM,’ A New Neuromorphic Chip For Edge AI That Uses a Tiny Portion of the Power and Space of Current Computer Platforms

A multidisciplinary research team has created a device that consumes a fraction of the energy needed by current general-purpose AI computing platforms to run...

Top Data Visualization Tools For Data Science and Analytics

Information representation technologies and innovations are required to dissect various data metrics and make the best information-driven decisions in the world of big data....

Google Cloud Introduces Two New Security Features In BigQuery To Help Secure Sensitive Data

Google has added a column-level encryption tool and dynamic masking of information to its Software as a service data repository BigQuery. These features help...

This Swedish Startup (Validio) is Helping Data-Driven Companies with its Data Quality Platform to Abstract Complexity from Data Engineering

Data has become essential for businesses to comprehend and analyze underlying patterns, sales, and growth. One problem is that data-driven companies may employ inaccurate...

ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python Library That Supports Multiple Decompositions Under a Unified Interface

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...

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