Dataconomy

JUNE 15, 2023

Additionally, ancient philosophers such as Aristotle pondered the nature of thought and reasoning, laying the groundwork for the study of cognition that forms a crucial aspect of AI research today. Another significant milestone came in 2012 when Google X’s AI successfully identified cats in videos using over 16,000 processors.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

Applied Data Science

MARCH 11, 2022

Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️ Back in 2012 things were quite different. All the rage was about algorithms for classification. Language as a game: the field of Emergent Communication Firstly, what is language?

AI 130

AI AI Data Science Machine Learning 130

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2012; Otsu, 1979; Long et al., The MBD algorithm then searches for a subset of nodes (i.e., 2018; Sitawarin et al., 2015; Huang et al., In addition, Zhang et al.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 83

AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” Parallel computing uses these multiple processing elements simultaneously to solve a problem. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

AWS 115

AWS ML ML Clustering 115

AWS Machine Learning Blog

DECEMBER 14, 2023

Generative AI-powered tools on JupyterLab Spaces Generative AI, a rapidly evolving field in artificial intelligence, uses algorithms to create new content like text, images, and code from extensive existing data. You need to grant your users permissions for private spaces and user profiles necessary to access these private spaces.

ML 125

ML ML AI AI 125

Explosion

DECEMBER 17, 2013

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications.

Python 45

Python Algorithm Natural Language Processing 45

Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. And algorithms. When we talk about algorithms, there are many different ways to slice this.

Machine Learning 52

Machine Learning Machine Learning Algorithm ML 52

Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? This plot, which is effectively looking from 2012 to 2021, is showing that we have invested a huge amount of effort in improving the models in the ML context. And algorithms. When we talk about algorithms, there are many different ways to slice this.

Machine Learning 52

Machine Learning Machine Learning Algorithm ML 52

DrivenData Labs

MAY 1, 2025

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Top solvers from Phase 2 demonstrate algorithmic approaches on diverse datasets and share their results at an innovation event. changes between 2003 and 2012). Phase 2 [Build IT!]

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147

AWS Machine Learning Blog

OCTOBER 11, 2024

For example: Data such as images, text, and audio need to be represented in a structured and efficient manner Understanding the semantic similarity between data points is essential in generative AI tasks like natural language processing (NLP), image recognition, and recommendation systems As the volume of data continues to grow rapidly, scalability (..)

Database 106

Database AWS Clustering Data Lakes 106