Allen AI

JULY 8, 2023

Allen School of Computer Science challenge AI models to “demonstrate understanding” of the sophisticated multimodal humor of The New Yorker Caption Contest. AI2 is thrilled to have multiple researchers represented at this year’s conference. Cartoon by Drew Dernavich, winning caption by Bennett Ellenbogen. Do Androids Laugh at Electric Sheep?

Computational Linguistics 52

Computational Linguistics NLP Explainability OpenAI 52

ODSC - Open Data Science

APRIL 19, 2023

Deep learning continues to be a hot topic as increased demands for AI-driven applications, availability of data, and the need for increased explainability are pushing forward. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th. Well in this session, Ivy will prove that it is possible.

Deep Learning 52

Deep Learning Neural Network Machine Learning Computer Vision 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models.

ML 98

ML ML Engineer Machine Learning Data Scientist 98

Pickl AI

JULY 14, 2023

Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Classical approaches to sales and operations planning cycles Historically, forecasting has been achieved with statistical methods that result in point forecasts, which provide a most-likely value for the future. This substitution can be a churn risk if the alternate becomes the new default.

ML 88

ML Metadata Machine Learning Data Science 88

AWS Machine Learning Blog

AUGUST 21, 2023

Models developed on text in the medical domain have become accurate statistically, yet clinicians are ethically required to evaluate areas of weakness related to these predictions in order to provide the best care for individual patients. On a daily basis, patients are admitted to hospitals and admission notes are taken.

Explainability 74

Explainability BERT ML NLP 74

The MLOps Blog

JANUARY 24, 2024

TL;DR Bayesian models are based on the idea of iteratively updating knowledge about an underlying relationship in the data. They are one of the most potent methods when dealing with limited data or uncertain scenarios. help data scientists systematically record, catalog, and analyze modeling artifacts and experiment metadata.

Metadata 59

Metadata Python Data Scientist ML 59

Applied Data Science

MARCH 11, 2022

Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come. . Overview In this post we’ll take a deep dive into the concept of gamification. What is the infant doing?” asks Minsky.

Neural Network 52

Neural Network AI AI Data Science 52

Lexalytics

APRIL 5, 2021

It pretty much started here: McCulloch and Pitts wrote a paper [ 1 ] describing an idealized neuron as a threshold logic device and showed that an arrangement of such devices could express any propositional logic formula. And didn’t the McCulloch-Pitts neuron have a symbolic interpretation as propositional logic? Not right away. This was a big deal.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Google Research AI blog

NOVEMBER 28, 2022

NeurIPS 2022 will be held as a hybrid event, in person in New Orleans, LA with some virtual attendance options, and includes invited talks, demonstrations and presentations of some of the latest in machine learning research. You can learn more about our work being presented in the list below (Google affiliations highlighted in bold ).

Neural Network 52

Neural Network Machine Learning Large Language Models Algorithm 52