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.

GE Healthcare has secured 510k clearance from the Food and Drug Administration (FDA) for its Ultra Edition package of Vivid cardiovascular ultrasound systems. The Vivid Ultra Edition includes new features based on artificial intelligence (AI) to enable clinicians to obtain quick and more repeatable exams with consistency. It delivers improved efficiency to the scanning process by providing reduced exam time through up to 80% fewer clicks, 99% accuracy and lower inter-operator variability. A methodical evaluation of heart function is considered vital in echocardiography while high-quality data acquisition and operator skills are important elements to obtain accurate and complete exams. Utilising AI-driven, neural network-based algorithms, Vivid Ultra Edition features enable repeatable and faster measurements in 2D echo imaging.

How will AI strategy in the enterprise be changed by the widespread attention to systemic racism? Like a lot of complicated topics, the discussion of racism in AI systems tends to be filtered through events that make headline news -- the Microsoft chatbot that Twitter users turned into a racist, the Google algorithm that labeled images of Black people as gorillas, the photo-enhancing algorithm that changed a grainy headshot of former President Barack Obama into a white man's face. Less sensational but even more alarming are the exposés on race-biased algorithms that influence life-altering decisions on who should get loans and medical care or be arrested. Stories like these call attention to serious problems with society's application of artificial intelligence, but to understand racism in AI -- and form a business strategy for dealing with it -- enterprise leaders must get beneath the surface of the news and beyond the algorithm. "I think that racism and bias are rampant in AI and data science from inception," said Desmond Upton Patton, associate professor of sociology at Columbia University. "It starts with how we conceive a problem [for AI to solve]. The people involved in defining the problem approach it from a biased lens. It also reaches down into how we categorize the data, and how the AI tools are created. What is missing is racial inclusivity into who gets to develop AI tools."

"A Google Maps for surgeons" is how Perimeter Medical Imaging AI Inc. (TSXV: PINK) President and CFO Jeremy Sobotta described the AI software currently being developed by the company to complement its FDA-cleared medical imaging system at a recent investment conference. Perimeter is a medical technology company working to transform cancer surgery by creating ultra-high-resolution, real-time, advanced imaging tools to address unmet medical needs. The imaging tools have already been developed and are approved in ophthalmology and cardiology (optical coherence tomography or OCT). Perimeter is using this imaging technology (OTIS or Optical Tissue Imaging Console) to assess the tissues surrounding the known cancerous target area to determine whether more tissue should be removed during the ongoing surgery. The imaging technology has the ability to rapidly image large and complex surfaces.

Two menacing men stand next to a white van in a field, holding remote controls. They open the van's back doors, and the whining sound of quadcopter drones crescendos. They flip a switch, and the drones swarm out like bats from a cave. In a few seconds, we cut to a college classroom. The students scream in terror, trapped inside, as the drones attack with deadly force. The lesson that the film, Slaughterbots, is trying to impart is clear: tiny killer robots are either here or a small technological advance away. And existing defences are weak or nonexistent.

Saturday deliveries of ordinary mail from Japan Post may soon be a thing of past. During a Diet session set to begin on Oct. 26, the government plans to submit a bill scrapping such deliveries, sources have said. If the bill is enacted during the session, Saturday deliveries are expected to be abolished as early as autumn next year, the sources said. The government has been refraining from submitting the bill to revise the postal law in order to prioritize responses to sales irregularities involving postal life insurance products. The postal law currently requires Japan Post Co. to deliver ordinary mail six days a week or more.

With the proliferation of information technologies and data among us, cybersecurity has become a necessity. Machine learning helps organisations by getting insights from raw data, predicting future outcomes and more. For a few years now, such utilisation of machine learning techniques has been started being implemented in cybersecurity. It helps in several ways, including identifying frauds, malicious codes and other such. In this article, we list down the top eight books, in no particular order, on machine learning In cybersecurity that one must-read.

In a recently released report, an independent federal commission on artificial intelligence -- National Security Commission on Artificial Intelligence mentioned that the US should build a formal tech alliance with India. This move has been called to help develop a comprehensive Indo-Pacific strategy that will be focused on emerging technologies. This newly-created US body in its report has clearly stated that the Department of State and the Department of Defence should negotiate formal cooperation agreements with countries like India, Australia, Japan, New Zealand, South Korea and Vietnam, with regards to artificial intelligence. The same report has been submitted to the Congress and President Donald Trump, where it has been underlined that the US must build on the strength of its allies and partners to win the global technology competition and preserve free and open societies. According to the Commission, it is required to grow support for the Quadrilateral Security Dialogue, which is a strategic forum among the US, Australia, India, and Japan, which will help in creating a formal relationship with nations in the Indo-Pacific region to concentrate on AI cooperation for defence and security purposes. The Commission further recommended that to achieve this goal, it is required to create a comprehensive strategic framework to marshal international multilateral and bilateral cooperation.

The Fair Trade Commission has conducted on-site inspections of 14 companies on suspicion of repeated big-rigging for contracts to supply personal computers to public schools in Hiroshima Prefecture, it was learned Wednesday. The firms raided by the commission for their alleged violations of the anti-monopoly law included Nippon Telegraph and Telephone West Corp., Otsuka Corp., Fujitsu Leasing Co., Solcom Co., Hi-Elecom Co., Hokushin-Eiden and Shinsei Kogyosha Corp., according to sources with knowledge of the matter. The antitrust watchdog plans to search the firms' offices in the prefecture. NTT West, a unit of Nippon Telegraph and Telephone Corp., is based in Osaka, while Otsuka and Fujitsu Leasing are based in Tokyo. Solcom, Hi-Elecom, Hokushin-Eiden and Shinsei Kogyosha have their head offices in the city of Hiroshima, the capital of Hiroshima Prefecture.

The Black Square is an iconic painting by Russian artist Kazimir Malevich. The first version was done in 1915. The Black Square continues to impress art historians even today, however it did not impress the then Soviet government and was kept in such poor conditions that it suffered significant cracking and decay. Complex machine learning algorithms can be mathematical work of art, but if these black box algorithms fail to impress and build trust with the users, They might be ignored like Malevich's black square. Dramatic success in machine learning has led to a surge of Artificial Intelligence (AI) applications.