Interested in helping the millions of Americans with chronic conditions get better care? OM1 is a leading real-world outcomes and technology company leveraging big clinical data and AI to better understand, compare, and predict patient outcomes. Our products are built to accelerate research, measure and benchmark health outcomes and to personalize patient care. Were looking for Machine Learning Engineers to help design, build, test, deploy, and monitor our platform that seeks to understand clinical text at large scale, as a means to measuring and predicting patient outcomes. Our product-focused team embraces creative, rigorous, innovative approaches and experimentation, while emphasizing high quality code, user-friendliness (data is a first-class product here), and rapid iteration.
We have the largest annotated dataset for the construction industry ever assembled with all of its real world attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience with ML on image, speech, and video data. We are looking for someone excited to design, train, apply and evaluate the latest deep learning models on customer data within our cloud based research and production environments. The goal is to generate an automated assessment of job site safety risks and feed the data to a predictive pipeline that will help our clients better manage their workforce and ultimately save lives. Most of our programming is done in Python3 using AWS resources.
Hitachi Vantara, the digital infrastructure and solutions subsidiary of Hitachi, is applying new artificial intelligence technologies to help airlines and airports solve some of their greatest challenges. The Silicon Valley-based company's technology aims to eliminate travel delays caused by congestion at check-in, security, retail and aircraft boarding areas. Hitachi Vantara has developed solutions that combine computer vision with video analytics and machine learning to help airline and airport staff identify when and where congestion and delays are occurring and take action to address them. The solution is already being piloted by a major US airline, and Hitachi Vantara hopes to implement the technology at more US airports in time for the 2020 holiday season. The Lumada Video Insights solution uses lidar to produce a 3D visual model of the airport and the movement of travelers, equipment and luggage in real time.
It's never a bad time to be an engineer--or to have people skills. LinkedIn's third annual US emerging jobs report has identified the 15 fastest-growing jobs, as well as the skills and cities most associated with them. This year the company found that the number of artificial intelligence and data science roles continue to expand across nearly every industry. For the first time, robotics has made an appearance on the list, and at least five roles in the ranking include the word "engineer" in the title. But it's not just high-tech roles that have seen a lot more hiring action in the past five years, which is how far back LinkedIn looks to measure the emergence of roles based on user profile data and hiring growth trends.
A new Professional Intelligence Report released by Data Bridge Market Research on Global Artificial Intelligence in Medical Imaging Market which describes the basic characteristics of the industry and market statistics. The influencing Factors of the report is growth of this market includes authorized regulations with respect to the usage of the information, availability of highly reliable products in the market, and increase in operational efficiency. The latest advancement in technology, policies, Artificial Intelligence in Medical Imaging market business plans, possibilities for growth and risks to the sector are being included. The report's two key sections are defined, namely market revenue in (USD$ Billion) and market size. The report provides both, qualitative and quantitative research of the Global Artificial Intelligence in Medical Imaging market, as well as integrates worthy insights into the rational scenario and favored development methods adopted by the key contenders.
While the Trump administration scrapped a proposed rule to use facial recognition to identify all people entering and leaving the United States, in other areas the federal government is embracing an expanded use of the technology despite privacy concerns. Let's face it – facial recognition isn't going anywhere. Whether we realize it or not, most of use some type of facial technology software every day. It's being widely used in shopping, home security, and law enforcement, and millions of us use it constantly to open our smart phones. But privacy advocates and civil libertarians are raising alarms about the growing use of facial recognition technology by the federal government under President Trump.
Life insurance isn't as popular as it once was, despite the fact that a majority of people consider it to be important. Over 80% of consumers agreed in a recent survey that people need a life insurance policy, yet just 62% say they have one themselves. In fact, only 44% of U.S. households held individual life insurance as of 2010 -- a 50-year low -- compared with the 72% of Americans who owned life insurance in 1960. A New York- and Hartford, Connecticut-based startup hopes to reverse the trend with a novel service that rewards policyholders for making smart lifestyle choices. Dubbed Sproutt Insurance, it's the brainchild of insurance tech company Akitbo CEO Yoav Shaham, who nearly two years ago set out to blend analytics and health insights with AI to match people with life insurance providers.
Google says it's implementing AI and machine learning techniques to improve story suggestions in Google Search. In a blog post this morning, the tech giant announced that users in the U.S. in English (with more languages and locations to come in the next few months) who search for a news topic will now see an article carousel at the top of the results page. When there are multiple stories related to a search, each will be organized by relevance and quality in a way that accounts for a diversity of perspectives. "People come to Search for all types of information to help them form a better understanding of the world and the topics they care about most," wrote Google Search product manager Duncan Osborn. "We've continued to bring new improvements to Search to help people better orient themselves around a topic and easily explore related ideas, so they can more quickly go from having a question in mind to developing deeper understanding … Our research has shown that clustering results into clearly-defined stories is critical in helping people easily navigate the results and identify the best content for their needs."
Humana Inc. has employed artificial intelligence to come up with persuasive language in emails sent to customers to encourage more of them to get flu shots--and it is seeing higher open and click-through rates. The Louisville, Ky.-based health insurer serves more than 16 million customers, including four million Medicare Advantage members. Medicare Advantage plans are administered by private insurers. These plans typically offer lower out-of-pocket costs than traditional government-run Medicare in exchange for members using...
Bank of America Corporation (NYSE: BAC) reported interesting statistics regarding its artificial intelligence (AI) – driven virtual financial assistant, Erica . According to the bank, the virtual assistant has surpassed 10 million since its nationwide launch earlier in summer 2018, and it is currently on track to complete 100 million client requests. Now, there are several updates to Erica's software. The latest enhancements include a new Refund Confirmation Insight through which clients are proactively notified when a merchant refund is posted and available to use in their checking, savings or credit card accounts. "Erica is ushering in a new era of personalized banking and providing our clients never-before-possible convenience," said David Tyrie, head of advanced solutions and digital banking at Bank of America.