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World--s First AI Health Guidance App in Swahili Launched by Ada Health

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The first artificial intelligence-based (--AI--) symptom-assessment application to be made available in Swahili has been launched today, unlocking access to health information and advice for more than 100 million people seeking healthcare in East Africa.-- The app, developed by Ada Health, combines a world-class medical knowledge database with intelligent reasoning technology to help users understand what might be causing their symptoms, as well as providing localized guidance about what they should do next. In doing so, the app aims to empower patients to make informed decisions about their own health, while also complementing and supporting existing healthcare services, doctors and clinics.-- Globally, four billion people - more than half the world--s population - lack access to basic health services, with the disadvantages of this global health challenge often disproportionately experienced by people in low- and middle-income countries. East Africa is a region that is acutely affected by this issue. By offering an AI-powered symptom-assessment medical application in Swahili, a language spoken by over 100 million people across the likes of Tanzania, Kenya, Uganda, Mozambique and Somalia, Ada hopes to significantly improve access to quality health information and advice, particularly for young people and families.


Ethics in healthcare AI: how should the industry prepare?

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We think of AI as an arbiter of neutrality, but when fed biased data it churns out biased results. At the beginning of 2017, Amazon's machine learning division shuttered an artificial intelligence (AI) project it had been working on for the past three years. A team in its machine learning wing had been building computer programmes designed to review job applicants' resumes, giving them star-ratings from one to five – not unlike the way shoppers can rate products purchased from Amazon online. However, within a year of the project beginning, the company realised its system was biased against female applicants. The software was trained to vet applicants by observing patterns in resumes submitted to the company over a ten-year period, the majority of which – due to the male-dominance of the tech industry – came from men.


Artificial Intelligence And The Scam Industry

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As the internet weaves its tentacles more and more into the lives and homes of people around the world and artificial intelligence (AI) becomes more mainstream, does this put more and more people at risk at the hands of the international scamming organizations? In the past few weeks, a number of scams have been reported involving both small and large sums of money. In one, a Canadian retiree purchased a California condo. He had his bank wire a deposit to the sellers California bank account and waited for instructions on paying the outstanding balance of $820,000 Cdn. An email supposedly from the realtor handling the sale advised the balance should be wired to a different bank than the one the seller paid the deposit to.


Global Cable Operators v Wireless Carrier 5G Services Report 2019-2024 - 5GNR Market for Private Wireless in Industrial Automation Will Reach $3.1B by 2024

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The Internet & Television Association (formerly the National Cable & Telecommunications Association, and commonly known as the NCTA) estimates that 80% of residences in the United States have access to gigabit speeds from cable companies via HFC and FTTH. Cable operators seek to solidify their position within consumer markets for broadband services as wireless carriers seek to leverage the enhanced mobile broadband (eMBB) component of 5G to gain a foothold for indoor residential and small business services. With little competition in the consumer in-home segment, certain wireless carriers see fixed wireless as a pathway to early revenue as their vendors work diligently to ensure eMBB services may be provided on a mobility basis rather than simply portable or fixed wireless solutions, which shall be predominate initially. A battleground is emerging for consumer broadband between cable companies espousing 10G (meaning symmetrical 10 Gbps speeds delivered over hybrid fiber-coaxial networks and not tenth generation) versus wireless carriers such as Verizon Wireless who will pursue the residential and small business market with fixed wireless 5G. Earlier this year, AT&T likewise stated that 5G will be a substitution for fixed-line broadband within the next three to five years. However, we see the consumer segment as a major challenge area for mobile communications service providers due to a few key factors including market inertia and deployment of WiFi6 devices.


Huge Demand of Artificial Intelligence in Digital Marketing Market by Forecast to 2026 IBM, Facebook, Amazon, Microsoft, Intel, Twitter, Xero, FreshBooks, NetSuite ERP, and Oracle – Market Expert24

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The Research Insights recently published a new comprehensive report titled the Artificial Intelligence in Digital Marketing Market. This report uses investigative primary and secondary research techniques to arrive at inferences. Researchers of the Artificial Intelligence in Digital Marketing Market report throw light on economic factors that affect the progress of the market. It includes some online and offline activities suggestions for branding the businesses strategized by our team of expert analysts. Artificial intelligence (AI) is science that deals with building intelligent machines that can think and respond like a human.


Project Highlight: Quantum Computing Meets Machine Learning

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Why did you think to combine Qiskit, a quantum-computing framework, with PyTorch, a machine-learning framework? Karel Dumon: Classical machine learning is currently benefiting hugely from the open-source community, and this is something we want to leverage in quantum too. Our project focuses on the potential application of quantum computing for machine learning, but also on the use of machine learning to help progress quantum computing itself. Through our project, we hope to make it easier for machine learning developers to explore the quantum world. Patrick Huembeli: To that effect, it makes Qiskit very accessible for people with a classical machine learning background -- they can treat the quantum nodes just as another layer of their machine learning algorithm.


Artificial Intelligence in Supply Chain Market Revenue Forecast and Trend analysis by Key Players such as C.H. Robinson Worldwide, Epicor Software Corporation, IBM Corporation, Logility, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP SE, Samsung, Xilinx Inc. - WeeklySpy

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The "Global Artificial Intelligence in Supply Chain Market Analysis to 2027" is a specialized and in-depth study of the technology, media and telecommunication industry with a special focus on the global market trend analysis. The report aims to provide an overview of the Artificial Intelligence in Supply Chain market with detailed market segmentation by components, technology, application, and industry vertical, and geography. The global artificial intelligence in supply chain market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading artificial intelligence in supply chain market players and offers key trends and opportunities in the market. The reports cover key developments in the artificial intelligence in supply chain market as organic and inorganic growth strategies.


US military drone disappears over Libyan capital, officials say

FOX News

Fox News Flash top headlines for Nov. 23 are here. Check out what's clicking on Foxnews.com The U.S. military announced Friday it lost an unarmed drone over Tripoli, the Libyan capital -- the site of a months-long battle between the Libyan National Army and militias allied with the United Nations-supported government. The U.S. Africa Command said the remotely piloted aircraft was part of an operation conducted in Libya to assess the area's security and monitor for violent extremist activity. They didn't give a reason for the drone loss on Thursday, but the command will be investigating.


AI ethics is all about power

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At the Common Good in the Digital Age tech conference recently held in Vatican City, Pope Francis urged Facebook executives, venture capitalists, and government regulators to be wary of the impact of AI and other technologies. "If mankind's so-called technological progress were to become an enemy of the common good, this would lead to an unfortunate regression to a form of barbarism dictated by the law of the strongest," he said. In a related but contextually different conversation, this summer Joy Buolamwini testified before Congress with Rep. Alexandria Ocasio-Cortez (D-NY) that multiple audits found facial recognition technology generally works best on white men and worst on women of color. What these two events have in common is their relationship to power dynamics in the AI ethics debate. Arguments about AI ethics can wage without mention of the word "power," but it's often there just under the surface. In fact, it's rarely the direct focus, but it needs to be. Power in AI is like gravity, an invisible force that influences every consideration of ethics in artificial intelligence. Power provides the means to influence which use cases are relevant; which problems are priorities; and who the tools, products, and services are made to serve. It underlies debates about how corporations and countries create policy governing use of the technology.


Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.