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Data


Artificial intelligence (AI) played a key role in developing COVID-19 vaccines. But you may not realize how many day-to-day things rely on it. From filtering out spam emails to helping trains run on time, AI is all around us. Artificial intelligence (AI) has transformed many aspects of our lives for the better. It even played …

MIT researchers have created a new system that automatically cleans “dirty data” — the typos, duplicates, missing values, misspellings, and inconsistencies dreaded by data analysts, data engineers, and data scientists. MIT researchers have created a new system that automatically cleans “dirty data” —  the typos, duplicates, missing values, misspellings, and inconsistencies dreaded by data analysts, …

While building a machine learning model, data scaling in machine learning is the most significant element through data pre-processing. Scaling may recognize the difference between a model of poor machine learning and a stronger one. Machine learning algorithm only recognizes numerical if there is a significant difference in the dimension, say few varying in tens …

Science Applications International Corp. (NYSE: SAIC) announced that it has entered into a definitive agreement to acquire Koverse, a software company that provides a data management platform enabling artificial intelligence (AI) and machine learning on complex, sensitive data. Founded in 2012 by former U.S. intelligence community AI and high-volume data processing experts, Koverse is a …

SeismoGen, a machine learning technique developed at the Laboratory, is capable of generating high-quality synthetic seismic waveforms. The technique could save tedious and intensive manual labeling effort and help improve earthquake detection. A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently …

Scientists have been able to map billions of individual trees and shrubs in West Africa using a new method, with great accuracy. This method involves combining large amounts of high-resolution satellite data, advanced computing capacities, machine-learning techniques and extensive field data gathered over decades. The result was a publicly available database of 1.8 billion trees …

The global pandemic has persuaded a number of manufacturers to pursue an AI-driven transformation of their operations, according to studies by Cap Gemini and the Boston Consulting Group. What has been noticed is the way in which they are combining human experience and insight with AI tools to find ways to differentiate themselves from their competitors, …

Artificial intelligence feeds on data, and data is piling up from increasingly cheap sensors and surging Internet use: videos, images, text; time series data, machine data; structured, unstructured and semi-structured data. And while AI is currently confined to narrow problems in discreet domains, the ambition of machine-learning researchers globally is to write algorithms that can cross …

We’ve come a long way since Intel introduced the first microprocessor in 1971. Their 4004 held 2,300 transistors, with today’s best chips exceeding billions, harnessing more and more power since their birth. But every time Intel releases a new computer chip, it’s a costly investment, as they need to add new instructions of computer programs …

This article will serve as a lesson on the shocking reasons for your AI adoption disaster. We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner’s predictions, “Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization” and Transform …