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Artificial Intelligence Is Gaining Increasing Traction in the Manufacturing Sector, with Annual Spending on AI Software, Hardware, and Services to Reach $13.2 Billion by 2025

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The manufacturing industry exhibits some contradictions when it comes to automation and technology. On the one hand, manufacturing was among the first industries to integrate any type of technology more than a century ago, as companies incorporated tools to aid in the production process. On the other hand, manufacturing companies are risk-averse when it comes to implementing new technology quickly, mainly due to the large amount of capital and time at stake. However, according to a new report from Tractica, manufacturing companies are now incorporating artificial intelligence (AI) technology within their environments at a modest, yet steady, pace. The market intelligence firm forecasts that annual worldwide manufacturing sector investment in AI software, hardware, and services will increase from $2.9 billion in 2018 to $13.2 billion by 2025.


2020 ADA Standards of Care just arrived and now includes AI to prevent blindness

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The nation's leading association that fights against diabetes released a new set of clinical standards that for the first time include the use of autonomous artificial intelligence (AI). The American Diabetes Association (ADA)'s 2020 Standards of Medical Care in Diabetes states that, "AI systems that detect more than mild diabetic retinopathy and diabetic macular edema authorized for use by the FDA represent an alternative to traditional screening approaches." To date, IDx-DR is the first and only FDA-authorized autonomous AI diagnostic system for the detection of diabetic retinopathy and macular edema. It is currently in use at a number of large health systems that each serve tens of thousands of people with diabetes and have struggled to implement diabetic retinopathy eye exams at scale for their large diabetes population. "The ADA's inclusion of our technology in its Standards of Care marks a significant move toward mainstream adoption of autonomous AI in clinical care," said Michael Abramoff, MD, PhD, Founder and Executive Chairman at IDx. "Our early customers are visionary leaders who foresaw that autonomous AI would one day become a standard of care for diabetic retinopathy screening, and taking that leap is paying off for them. Already, health systems that are using IDx-DR have experienced significant improvements in accessibility, efficiency and compliance rates, unleashing massive potential for cost savings and improved patient outcomes."


Global 5G Business Services Markets, 2019-2024 by Enterprise, Industrial, and Government Segment Applications, Services, and Solutions - ResearchAndMarkets.com

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DUBLIN--(BUSINESS WIRE)--The "5G Business Services Market by Enterprise, Industrial, and Government Segment Applications, Services, and Solutions 2019-2024" report has been added to ResearchAndMarkets.com's offering. This report evaluates the 5G B2B market solutions for enterprise, industrial, and government users. It addresses specific opportunities such as 5G support of private wireless networks, WAN connectivity, and fixed wireless access for business. It also provides analysis for specific applications such as autonomous vehicles, telepresence, tele-robotics, video-related services, public safety and more. The report provides forecasts for both 5G revenue as well as user projections from 2019 to 2024.


Intel buys Israeli AI company for $2B – The Manila Times

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JERUSALEM: Leading US chip manufacturer Intel Corp. has acquired Israeli artificial intelligence (AI) company Habana Labs for about $2 billion, both companies announced Monday. Habana Labs is an AI processor company founded in 2016 and headquartered in the coastal city of Tel Aviv. After the acquisition, Habana will remain an independent business unit and will continue to be led by its current management team. "The combination strengthens Intel's AI portfolio and accelerates its efforts in the nascent, fast-growing AI silicon market, which Intel expects to exceed $25 billion by 2024," Intel said. "We are excited to partner with Intel to accelerate and scale our business. Together, we will deliver our customers more AI innovation," said David Dahan, chief executive officer of Habana.


Chatbots Are Over Hyped: Emerj Report Shows Banks Overstate the Traction and ROI of Conversational Interfaces

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Banking communications and press releases show conversational interfaces accounting for 38.87% of the AI use-cases at banks. In truth, most chatbots are pilot projects with little to no evidence of ROI; they're touted in the press to make banks appear more modern and convenient to customers. Emerj's AI in Banking Vendor Scorecard and Capability Map found conversational interface vendors score lowest in terms of funding and the AI talent they employ (2.4 out of 4.0). The average customer service vendor in banking raises $16 million, far less than the average vendor in financing and loans ($49 million), fraud and cybersecurity ($48 million), and compliance ($44 million). Companies raise more money when their products have traction, and conversational interface vendors make up only 5.5% of the total funding for AI vendors.


Lodo Therapeutics Names Serial Biotech Entrepreneur Dale Pfost As CEO And Adds Top Industry Veterans To Leadership Team - SynBioBeta

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Lodo Therapeutics Corp., a biotechnology company applying its proprietary platform to reinvent environmentally-sourced, natural product drug discovery, today announced the appointment of Dale Pfost, PhD, as Chairman and Chief Executive Officer. Dr. Pfost has more than 25 years of experience as a life science entrepreneur, senior executive and venture investor. He has served as CEO of five biotechnology companies, three of which became publicly traded with valuations exceeding two billion dollars. Dr. Pfost has successfully completed dozens of financings, overseen numerous M&A transactions and served as a director at multiple public and private life science firms. The company also announced the addition of four members to the senior leadership team: Steve Colletti, PhD, Senior Vice President of R&D; Anthony Colasin, Senior Vice President of Business Development; Barbara Lindheim, Consulting Vice President of Strategic Communications and Investor Relations; and Sarajane Mackenzie, Consulting Vice President of Human Resources and Organization Development.


New Findings Show Artificial Intelligence Software Improves Breast Cancer Detection and Physician Accuracy

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A New York City based large volume private practice radiology group conducted a quality assurance review that included an 18 month software evaluation in the breast center comprised of nine (9) specialist radiologists using an FDA cleared artificial intelligence software by Koios Medical, Inc as a second opinion for analyzing and assessing lesions found during breast ultrasound examinations. Over the evaluation period, radiologists analyzed over 6,000 diagnostic breast ultrasound exams. Radiologists used Koios DS Breast decision support software (Koios Medical, Inc.) to assist in lesion classification and risk assessment. As part of the normal diagnostic workflow, radiologists would activate Koios DS and review the software findings with clinical details to formulate the best management. Analysis was then performed comparing the physicians' diagnostic performance to the 18-month period prior to the introduction of the AI enabled software.


CyberLink CEO Dr. Jau Huang Shares Insights on Edge Computing and Showcases FaceMe AI-based Facial Recognition Engine at Intel Edge Computing Solution Summit - Business Wire - UrIoTNews

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TAIPEI, Taiwan–(BUSINESS WIRE)–CyberLink Corp. (5203.TW), a pioneer of AI and facial recognition technologies, participated in the Intel Edge Computing Solution Summit. The summit brought together leaders from the IoT industry who shared insights on AI edge computing's latest breakthroughs and the opportunities that this technology will bring in the future. Dr. Jau Huang, CyberLink's founder and CEO, was invited to speak about the benefits of edge computing and how it enables precise, fast, affordable and secure AIoT use cases including facial recognition, such as the company's FaceMe AI-based engine. With FaceMe, CyberLink has leveraged edge-based technology and AI to deliver one of the world's most precise, flexible and best performing facial recognition engines. Compared with cloud-based solutions, edge computing is much cheaper, greatly enhances flexibility and provides real-time response, helping system integrators quickly develop and add new functionalities into existing systems and new AIoT products.


New Oracle Exadata Builds in Machine Learning Advances, Supercharges Performance, Improves Cost Effectiveness

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Delivering extreme performance and availability, Oracle Exadata is the foundation for Oracle Autonomous Database, the world's first self-driving database, and Oracle Cloud Applications. In fiscal year 2018, Exadata set all-time product sales records with continued adoption across multiple workloads such as OLTP, Analytics, and IoT, and multiple verticals, including finance, retail, electronics, and telecommunications. "For the past 10 years, Exadata has been running the most critical workloads for thousands of customers around the world. Exadata now powers Oracle Autonomous Database and Oracle Cloud Applications," said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle. "Today, we are improving the performance and capacity of the platform, and adding a broad range of capabilities based on artificial intelligence and machine learning to further increase Exadata's advantages."


Mass General team detects Alzheimer's early using electronic health records

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The most exciting thing is that we are able to predict risk of new dementia diagnosis up to eight years in advance. BOSTON – A team of scientists from Massachusetts General Hospital (MGH) has developed a software-based method of scanning electronic health records (EHRs) to estimate the risk that a healthy person will receive a dementia diagnosis in the future. Their algorithm uses machine learning to first build a list of key clinical terms associated with cognitive symptoms identified by clinical experts. Next, they used national language processing (NLP) to comb through EHRs looking for those terms. Finally, they used those results to estimate patients' risk of developing dementia.