News

Samsung Migrates 1.1 Billion Users across Three Continents from Oracle to Amazon Aurora

OpenAI releases powerful text generator

The laboratory, founded by Elon Musk and recently supported by a $1 billion grant from Microsoft, has designed text generators that create readable passages virtually indistinguishable from those written by humans. OpenAI’s machine learning approach scrapes massive amounts of data from the web and analyzes it for statistical patterns that allow it to realistically predict what letters or words will likely be written next. When users feed a word or phrase or longer text snippets into the generator, it expands on the words with convincingly humanlike text.

Artificial brains may need sleep too

No one can say whether androids will dream of electric sheep, but they will almost certainly need periods of rest that offer benefits similar to those that sleep provides to living brains, according to new research from Los Alamos National Laboratory. Watkins and her research team found that the network simulations became unstable after continuous periods of unsupervised learning. When they exposed the networks to states that are analogous to the waves that living brains experience during sleep, stability was restored.

5 Essential Papers on AI Training Data

Many data scientists claim that around80% of their time is spent on data preprocessing, and for good reasons, as collecting, annotating, and formatting data are crucial tasks in machine learning. This article will help you understand the importance of these tasks, as well as learn methods and tips from other researchers. Below, we will highlight academic papers from reputable universities and research teams on various training data topics.

Our weird behavior during the pandemic is messing with AI models

Why a physicist wants to build a particle collider on the moon

IBM will no longer offer, develop, or research facial recognition technology

B-21 stealth bomber running Kubernetes for better SDLC experience

The new stealth U.S. Air Force B-21 bomber has taken yet another key technological step toward being ready for war, through integrated computer automation designed to streamline information, improve targeting and offer pilots organized warzone information in real-time. Air Force and Northrop Grumman developers recently completedan essential software-empowered process intended to bring greater levels of information processing, data management and new measures of computerized autonomy,according to published statements from Air Force Acquisition Executive Dr. William Roper. Through virtualization and software-hardware synergy, B-21 sensors, computers and electronics can better scale, deploy and streamline procedural functions such as checking avionics specifics, measuring altitude and speed and integrating otherwise disparate pools sensor information.

Train ALBERT for natural language processing with TensorFlow on Amazon SageMaker

Growing Anomalies at the Large Hadron Collider Raise Hopes

Recent measurements of particles called B mesons deviate from predictions. Alone, each oddity looks like a fluke, but their collective drift is more suggestive. Computer reconstruction of a collision event in the Large Hadron Collider beauty experiment.