DataRobot

DECEMBER 1, 2021

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. People often think that AGI will involve massive computer brains. CUDA currently has more than 2.3

AI 145

AI AI Machine Learning Machine Learning 145

NYU Center for Data Science

JULY 21, 2023

The Minds, Brains, & Machines Initiative: Driving Innovation at the Intersection of Natural and Artificial Intelligence The studies of biological and artificial intelligence, which have spent the occasional decade pretending not to have much to say to each other, are entering, thanks to the current wave of AI progress, a new symbiosis.

Data Science 86

Data Science Artificial Intelligence Artificial Intelligence Deep Learning 86

Dataconomy

AUGUST 2, 2023

In the quest for technological advancements that can revolutionize our world, the scientific community has always been captivated by the elusive phenomenon of superconductivity. Superconductors are materials that can conduct electricity with zero resistance, leading to unprecedented energy efficiency and technological advancements.

Artificial Intelligence 172

Artificial Intelligence Artificial Intelligence Data Analysis Data Analysis 172

DrivenData Labs

MAY 24, 2023

In order to optimize commercial aircraft flights, air traffic management systems need to be able to predict as many details about a flight as possible. The future of machine learning in the NAS will need to find ways to learn from this data without revealing it, and federated learning is likely to be a key technology.

Machine Learning 225

Machine Learning Machine Learning Decision Trees Data Science 225

Hacker News

FEBRUARY 3, 2023

This is part 1 in a 3-part series about the Second Law: 1. Computational Foundations for the Second Law of Thermodynamics 2. But 150 years after it was first introduced , there’s still something deeply mysterious about the Second Law. Other observers—or even our own future technology— might see things differently.

Computer Science 176

Computer Science Computer Science Algorithm Machine Learning 176

The MLOps Blog

DECEMBER 7, 2022

A quick note: the focus of this article is not to discuss the intricacies of crypto trading per se (an economic perspective, so to say) but rather to talk about how we used the best practices of the MLOps methodology to lead a transformation process for a company working in one of the most technically and computationally demanding fields.

ML 52

ML ML AWS ETL 52