Machine Learning
How Monopoly Is Helping Create The AI Of The Future
Researchers have changed a game of digital Monopoly to help artificial intelligence adapt to unexpected events. They did this by charging the players a wealth tax every time a player passes ‘Go’, instead of giving them $200. Experiments like this could improve the function of AI in wider-scale, real-life situations, such as the complex assessment …
Quantum Machine Learning Hits A Limit
A new theorem from the field of quantum machine learning has poked a major hole in the accepted understanding about information scrambling. “Our theorem implies that we are not going to be able to use quantum machine learning to learn typical random or chaotic processes, such as black holes. In this sense, it places a …
Is Automation Jeopardizing Our Future?
Earlier, widespread automation meant the introduction of service sector jobs or big stupid machines doing repetitive work in factories. That’s not the case a couple of decades down the line, is it? Now there is software that can land aircraft, diagnose cancer, and trade stocks for you🐱👓 Machines are now capable of breaking down complex …
New System Cleans Messy Data Tables Automatically
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, …
The Pain Points Of Scaling Data Science
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 …
When Artists And Machine Intelligence Come Together
Throughout history, from photography to video to hypertext, artists have pushed the expressive limits of new technologies, and artificial intelligence is no exception. At I/O 2019, Google Research and Google Arts & Culture launched the Artists + Machine Intelligence Grants, providing a range of support and technical mentorship to six artists from around the globe …
How Capital Markets Can Prepare For The Future With AI
Editor’s note: This post originally appeared on Forbes BrandVoice. In capital markets, the stakes have been raised for participants to establish value, win loyalty, and expand their share of wallet. An organization’s data analytics capabilities, combined with artificial intelligence and machine learning, can open new opportunities in these areas. But many organizations are still using …
Lab Offers Forum On Machine Learning For Industry
Lawrence Livermore National Laboratory (LLNL) is looking for participants and attendees from industry, research institutions and academia for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10. Pre-registrations are open for the forum, which aims to foster and illustrate the adoption of machine learning methods for practical industrial …
Machine Learning Model Generates Realistic Seismic Waveforms
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 …
Satellites And AI Have Just Accurately Counted 1.8b Trees In West Africa
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 …