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Restoring and attributing ancient texts using deep neural networks - Nature

Restoring and attributing ancient texts using deep neural networks - Nature

Restoring and attributing ancient texts using deep neural networks History Abstract Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as...

Vectors are over, hashes are the future of AI

Vectors are over, hashes are the future of AI

Artificial intelligence has been built on the back of vector arithmetic. Recent advances show for certain AI applications this can actually be drastically outperformed (memory,...

Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion

Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion

People interact with the world through multiple sensory streams (e.g., we see objects, hear sounds, read words, feel textures and taste flavors), combining information and...

Difference Between Algorithm and Model in Machine Learning

Difference Between Algorithm and Model in Machine Learning

Machine learning involves the use of machine learning algorithms and models. For beginners, this is very confusing as often “machine learning algorithm” is used interchangeably...

The history of machine learning algorithms

The history of machine learning algorithms

Machine learning algorithms can perform exponential tasks today—from mastering board games and identifying faces to automating daily tasks and making predictive decisions—this...

Alan Turing: Tech Ideas that revolutionized 20th Century

Alan Turing: Tech Ideas that revolutionized 20th Century

Turing over his lifetime produced various groundbreaking seminal papers and works. In this write-up, I am going to delve into four such major works: “On Computable Numbers, with...

The possibilities and limitations of machine learning

The possibilities and limitations of machine learning

Machine learning, the process whereby a computer learns future responses through data analysis via an algorithm, is already enmeshed in finance and accounting. It sits in the...

Causal Modeling in Machine Learning Workshop

Causal Modeling in Machine Learning Workshop

Causal Modeling in Machine Learning Workshop The most efficient path to engineering causal reasoning in machine learning applications. A online workshop in causal modeling and...

What is Adversarial Machine Learning? - KDnuggets

What is Adversarial Machine Learning? - KDnuggets

In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a...

How to Scale AI in Your Organization

How to Scale AI in Your Organization

AI is embedding itself into the products and processes of virtually every industry. But implementing AI at scale remains an unresolved, frustrating issue for most organizations....

How Data Versioning Can Be Used in Machine Learning

How Data Versioning Can Be Used in Machine Learning

We deal with data on a daily basis, whether it is in the form of documentation or in the form of... We deal with data on a daily basis, whether it is in the form of...

The Data Scientific Method vs. The Scientific Method

The Data Scientific Method vs. The Scientific Method

Editor’s note: Patrick Hall is a speaker forODSC East 2022this April 19th-21st. Be sure to check out his talk, “A Tutorial on Machine Learning Model Governance,” there! Data...