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Nym Health raises $16.5 million for its auditable machine learning tools for automating hospital billing – TechCrunch

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A little less than two years after raising its seed round, the Israeli-based Nym Health has added another $16.5 million to its cash haul so it can roll out its technology developing auditable machine learning tools for automating hospital billing. The new financing came from investors, including GV (the investment arm of Google previously known as Google Ventures), and will be used by the company to expand its technology development and sales and marketing efforts across the U.S. Billing has been a huge problem for healthcare systems in the U.S., thanks to complicated coding that needs to be entered to ensure insurance providers pay for the services medical professionals give to patients. Nym claims to have solved the problem by developing technologies that can convert medical charts and electronic medical records from physician's consultations into proper billing codes automatically. The company uses natural language processing and taxonomies that were specifically developed to understand clinical language to determine the optimal charge for each procedure, examination and diagnostic conducted for a patient, according to Nym. The company was founded in 2018 by two former members of Israel's 8200 cybersecurity unit of the army.


Edge Computing: Chip Delivers High Performance Artificial Intelligence

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The Hailo-8TM inference chip expands the number of industrial Artificial Intelligence (AI) applications possible for a wide range of industrial applications including optimization of production, processes, track & trace, logistics, quality, machine functions, and predictive maintenance by eliminating inherent limitations of server and cloud solutions with processing at the edge. The Hailo-8TM inference chip expands the number of industrial Artificial Intelligence (AI) applications possible for a wide range of industrial applications including optimization of production, processes, track & trace, logistics, quality, machine functions, and predictive maintenance by eliminating inherent limitations of server and cloud solutions with processing at the edge. Server and cloud AI solutions are suitable for a wide range of applications, but compute costs, network communication speed and latency factors pose limitations for many real time industrial and process applications. The Hailo-8TM inference chip and plugin modules expand the number of feasible applications. Hailo was established in Israel in 2017 by members of the Israel Defense Forces' elite technology unit, Hailo developed AI processors for edge devices.


Self-driving cars can be forced to brake by hijacked billboards

ZDNet

Security researchers have demonstrated how hijacked billboards could be used to confuse self-driving cars -- forcing them to slam on the brakes, or worse. Autonomous driving systems have come on leaps and bounds in recent years, but not without mistakes, confusion, and accidents occurring. Vehicle intelligence has a long way to go before it could be considered fully autonomous and safe to use without the supervision of a human driver, and as technology firms continue to refine their platforms, the focus tends to be on weather conditions, mapping, and how cars should respond to hazardous objects -- such as people in the road or other cars. See also: Tesla's Elon Musk: Some'expert, careful' drivers get beta Full Self-Driving next week However, as reported by Wired, there may be other, unseen hazards that humans cannot detect with the naked eye. New research conducted by academics from Israel's Ben Gurion University of the Negev suggests that so-called "phantom" images -- such as a stop sign created from flickering lights on an electronic billboard -- could confuse AI systems and prompt particular actions or movements.


AI is the next national security frontier, but Israel may be losing its edge

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Developing a national strategy for artificial intelligence, including its ethical aspects, is critical for Israel's future security, a study published last week by the Institute for National Security Studies argued. "Proper management of the field of artificial intelligence in Israel holds great potential for preserving and improving national security," wrote Dr. Liran Antebi, an INSS research fellow, in the Hebrew-language study, which was prepared with assistance from experts in the high-tech industry, the defense establishment, the government and academia. Titled "Artificial intelligence and Israeli national security," the study starts from the assumption that AI will eventually be of decisive importance worldwide in terms of both economics and security, especially if predictions that AI's capabilities will someday exceed human ones prove accurate. "Artificial intelligence will create a new industrial revolution of the greatest scope in history," Antebi wrote. And this will naturally widen the gaps between countries with high technological capabilities and those that are left behind. One example is autonomous weapons systems like robots and drones that are capable of searching for, identifying and attacking targets independently, with almost no human involvement.


Nym Health raises $16.5 million for its auditable machine learning tools for automating hospital billing

#artificialintelligence

A little less than two years after raising its seed round, the Israeli-based Nym Health has added another $16.5 million to its cash haul so it can roll out its technology developing auditable machine learning tools for automating hospital billing. The new financing came from investors including GV (the investment arm of Google previously known as Google Ventures) and will be used by the company to expand its technology development and sales and marketing efforts across the U.S. Billing has been a huge problem for healthcare systems in the U.S., thanks to complicated coding that needs to be entered to ensure insurance providers pay for the services medical professionals give to patients. Nym claims to have solved the problem by developing technologies that can convert medical charts and electronic medical records from physician's consultations into proper billing codes automatically. The company uses natural language processing and taxonomies that were specifically developed to understand clinical language to determine the optimal charge for each procedure, examination and diagnostic conducted for a patient, according to Nym. The company was founded in 2018 by two former members of Israel's 8200 cybersecurity unit of the army.


Split-Second 'Phantom' Images Can Fool Tesla's Autopilot

WIRED

Safety concerns over automated driver-assistance systems like Tesla's usually focus on what the car can't see, like the white side of a truck that one Tesla confused with a bright sky in 2016, leading to the death of a driver. But one group of researchers has been focused on what autonomous driving systems might see that a human driver doesn't--including "phantom" objects and signs that aren't really there, which could wreak havoc on the road. Researchers at Israel's Ben Gurion University of the Negev have spent the last two years experimenting with those "phantom" images to trick semi-autonomous driving systems. They previously revealed that they could use split-second light projections on roads to successfully trick Tesla's driver-assistance systems into automatically stopping without warning when its camera sees spoofed images of road signs or pedestrians. In new research, they've found they can pull off the same trick with just a few frames of a road sign injected on a billboard's video. And they warn that if hackers hijacked an internet-connected billboard to carry out the trick, it could be used to cause traffic jams or even road accidents while leaving little evidence behind.


Israel's Use of Artificial Intelligence Will Change the Future of War

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War is always going to be fought with people and weapons. It is also always going to involve "platforms," such as tanks and the capabilities they have. It is important to understand that in discussions of the future of warfare the issue is not just about the person or the platform but also tying it all together. At the heart of that effort today are attempts to develop better algorithms and artificial intelligence. This will play an increasing role in war, especially in hi-tech militaries, in the future.


Global Artificial Intelligence in Aviation Market : Industry Analysis and Forecast (2019-2026) _ by Offering (Hardware, Software), by Technology (Natural Language Processing (NLP), Context Awareness Computing, and Others), by Application, and by Geography - re:Jerusalem

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Artificial Intelligence in Aviation Market has been segmented on the basis of technology, offering, application, and geography. Based on offering market is split into Hardware & Software. Technology is divided into Natural Language Processing (NLP), Context, Awareness Computing, Machine Learning, and Computer Vision. Application of the market is Flight Operations, Smart Maintenance, Training, Virtual Assistants, Surveillance, Dynamic Pricing, and Manufacturing. Artificial intelligence in aviation sort the information and provide the pilot with the best possible options for operation, which is impossible for human being to perform.



This AI removes the water from underwater images!

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Underwater photography is a challenging task. It requires expensive cameras, lights, all sorts of equipment, and a lot of skills. Even then, there is still a blue-greenish tint from the water covering the objects, or animals in any pictures or video you will take. Fortunately for all the underwater enthusiasts, researchers from the University of Haifa were able to remove the water from these pictures and videos by using computer vision and machine learning algorithms. They called their new algorithm: Sea-thru.