Collaborating Authors


AI armed with multiple senses could gain more flexible intelligence


Human intelligence emerges from our combination of senses and language abilities. Maybe the same is true for artificial intelligence.

Thomson Reuters to stress AI, machine learning in a post-pandemic world


NEW YORK (Reuters) - Thomson Reuters Corp will streamline technology, close offices and rely more on machines to prepare for a post-pandemic world, the news and information group said on Tuesday, as it reported higher sales and operating profit. The Toronto-headquartered company will spend $500 million to $600 million over two years to burnish its technology credentials, investing in AI and machine learning to get data faster to professional customers increasingly working from home during the coronavirus crisis. Thomson Reuters' New York- and Toronto-listed shares each gained more than 8%. It aims to cut annual operating expenses by $600 million through eliminating duplicate functions, modernizing and consolidating technology, as well as through attrition and shrinking its real estate footprint. Layoffs are not a focus of the cost cuts and there are no current plans to divest assets as part of this plan, the company said.



Artificial intelligence allows machines to understand and achieve specific goals. AI includes machine learning via deep learning.



Another huge change has been the extensive use of artificial intelligence, which is transforming digital strategies completely.

14 Emerging Tech Trends for 2021 -- and Dallas-Area Companies That Are Innovating for the Future


Intelligent machines and smart data can transform our world. This tech trio--artificial intelligence, machine learning, and data analytics--is the "glue" …

Positive reinforcements help algorithm forecast underground natural reserves


For their study, Misra and his team chose a type of machine-learning algorithm based on the concept of reinforcement learning. Simply put, the software …

Machine learning aids in simulating dynamics of interacting atoms


Machine learning methods are providing computational scientists new tools to accurately and efficiently conduct these atomistic simulations.

What To Do About Deepfakes

Communications of the ACM

Synthetic media technologies are rapidly advancing, making it easier to generate nonveridical media that look and sound increasingly realistic. So-called "deepfakes" (owing to their reliance on deep learning) often present a person saying or doing something they have not said or done. The proliferation of deepfakesa creates a new challenge to the trustworthiness of visual experience, and has already created negative consequences such as nonconsensual pornography,11 political disinformation,19 and financial fraud.3 Deepfakes can harm viewers by deceiving or intimidating, harm subjects by causing reputational damage, and harm society by undermining societal values such as trust in institutions.7 What can be done to mitigate these harms?