Earlier this week, Armonk, N.Y.-based IBM announced that LG Electronics has joined the IBM Quantum Network. According to Big Blue, the Quantum Network is designed to advance the industry applications of quantum computing. Like all such partnerships, the technology flow will go in both directions. By joining the IBM Quantum Network, IBM will offer Seoul, South Korea-based LG Electronics access to IBM's quantum computing systems, as well as to IBM's quantum expertise and Qiskit, IBM's open-source quantum information software development kit. For its part, LG Electronics aims to explore applications of quantum computing in industry to support big data, artificial intelligence, connected cars, digital transformation, IoT and robotics applications -- all of which require processing a large amount of data.

The Software Report is pleased to announce The Top 100 Software Companies of 2021. This year's awardee list is comprised of a wide range of companies from the most well-known such as Microsoft, Adobe, and Salesforce to the relatively newer but rapidly growing - Qualtrics, Atlassian, and Asana. A good number of awardees may be new names to some but that should be no surprise given software has always been an industry of startups that seemingly came out of nowhere to create and dominate a new space. Software has become the backbone of our economy. From large enterprises to small businesses, most all rely on software whether for accounting, marketing, sales, supply chain, or a myriad of other functions. Software has become the dominant industry of our time and as such, we place a significance on highlighting the best companies leading the industry forward. The following awardees were nominated and selected based on a thorough evaluation process. Among the key criteria considered were ...

While there is much hype around machine learning and its uses in healthcare, a recent survey indicates that machine learning is not just a buzzword, as 84 percent of medical imaging professionals view the technology as being either important or extremely important in medical imaging. What's more, about 20 percent of medical imaging professionals say they have already adopted machine learning, and about one-third say they will adopt it by 2020. A recent study by Reaction Data sought to examine the hype around artificial intelligence and machine learning, specifically in the area of radiology and imaging, to uncover where AI might be more useful and applicable and in what areas medical imaging professionals are looking to utilize machine learning. As Healthcare Informatics Editor-in-Chief Mark Hagland noted back in November, at RSNA 2017 the most prevalent topic was machine learning and how much of an impact it will have on the practice of medicine and on the business of healthcare overall. Reaction Data, a market research firm based in American Fork, Utah, got feedback from 133 imaging professionals, including directors of radiology, radiologists, imaging directors, radiology managers, chief of radiology and PACS administrators, to gauge the industry on machine learning.