An artificial intelligence (AI) neural network identified congestive heart failure with 100% accuracy, according to the findings of a study published in Biomedical Signal Processing and Control Journal. Just one raw electrocardiogram (ECG) heartbeat was what the AI needed to identify the condition, according to the paper. "Enabling clinical practitioners to access an accurate (congestive heart failure) detection tool can make a significant societal impact, with patients benefiting from early and more efficient diagnosis and easing pressures on (National Health Service) resources," said Leandro Pecchia, Ph.D., assistant professor of biomedical engineering at the University of Warwick in England. Typical congestive heart failure detection methods focus on heart variability and are time consuming and prone to errors, according to researchers. Instead, the research team developed a model which uses a combination of advanced signal processing and machine-learning tools on raw ECG signals.

Today, education doesn't stop after students graduate; many continue learning throughout their life. And in addition to adult learning courses at colleges and universities, a lot of courses are now offered online – ranging from MOOCs ("massive open online course") to many apps. At the Global Education & Skills Forum in March, two of the 10 finalists were lifelong learning startups. Here are four of the most promising EdTech startups around. Don't have time to read a book a day?

Kartik Hosanagar was ready to turn his home into one of the future. He was looking forward to connecting his thermostat, television, light bulbs and other Internet-enabled smart devices and control all of them with a phone, tablet or just his voice. Hosanagar, a technology and digital business professor at the Wharton School of the University of Pennsylvania, had everything hooked up and the new arrangement went fine for several months -- until one day his television started turning itself on and off. It turned out that a friend who had helped Hosanagar set up his smart home still had access to his home and was inadvertently controlling his TV from his home. "Sometime during the setup, we switched to his phone and used the TV app to set it up," Hosanagar said.

Enterprises and startups alike are working to harness the power of artificial intelligence (AI) and machine learning to solve issues across a broad range of industries. The socioeconomic impact of AI is already being felt, from self-driving cars to improving medical diagnosis and even ensuring the safety of workers on construction sites. Unfortunately, a lot of these advancements go unnoticed to help improve our quality of life. With that in mind, MissingLink.ai is excited to present a series of events on how "AI is changing the world." The focus of this event is to provide a platform to companies currently on the cutting edge of developing new AI-powered technologies.

Kheiron Medical Technologies (Kheiron), a machine learning startup that's setting out to help radiologists detect early signs of cancer, has raised $22 million in a series A round of funding led by European VC firm Atomico, with participation from Greycroft, Connect Ventures, Hoxton Ventures, and Exor Seeds. Founded out of London in 2016, Kheiron offers a breast-screening product called Mia, which serves as a "second reader" to help radiologists decide whether to recall a patient for further evaluation. It's designed as a supportive tool rather than to replace medical professionals -- an automated second opinion, if you like. Mia's machine learning and data-processing smarts integrate directly into existing radiology workflows and software and look at areas of interest in full-field digital mammography (FFDM) images from breast cancer screenings, which can be difficult to read with the naked human eye if the tumors are small. This difficulty is often compounded by other distracting "noise" in a scan.

What is the Microsoft Azure AI Conference? Artificial Intelligence is more than the hot new buzz word – it's the future of software. Microsoft is positioned to be the key player in AI providing services through the Azure platform. The Microsoft Azure AI Conference brings together the best and brightest from Microsoft and the broader cloud and AI industry in the late fall of 2019 in Las Vegas, Nevada. Azure is becoming a key competitive advantage for all sizes of businesses, and your customers are keen to get onboard the cloud train.

AI development has morphed into a geopolitical race with China and the United States in a dead heat to be the victor. While the 20th century may be widely thought of as the American century, the 21st will be defined by the leader in this pivotal technology. At least, that's the impression given by most commentators and echoed in Kai-Fu Lee's recent book, AI Superpowers: China, Silicon Valley, and the New World Order. Lee's book fits into the common Cold War narrative, framing the development of this technology as a new space race, even going so far as calling AlphaGo's victory over Ke Jie in 2017 China's "Sputnik moment." His chapters discuss the advantage of the US vs.

In recent times, regulators have begun to explore the use of technology to help them perform their regulatory and supervisory functions. Known as RegTech (a contraction of the terms "regulatory" and "technology") and also SupTech (a contraction of the terms'supervision' and'technology"), innovation in this area includes the use of natural language processing (NLP) – a form of artificial intelligence – to facilitate and enhance the review of documents by regulators to assess compliance with disclosure requirements. There is a broad range of documents to which such technology might be applied, including corporate accounts, corporate announcements, company prospectuses and financial product disclosure documents. Developments in RegTech have accompanied developments in FinTech (for a discussion about FinTech and smart contracts, see China Business Law Journal volume 7 issue 8: FinTech and smart contracts). This column explores the potential that NLP offers in the area of corporate disclosure, and the legal and regulatory implications that arise as a result. These implications include the following: (1) whether technology will change the way in which the language of corporate disclosure and disclosure standards are interpreted by regulators; (2) whether regulators will be able to maintain transparency in relation to how technology is used to monitor and review corporate disclosure; and (3) how to maintain an appropriate degree of human involvement and guarantee trust in the process.

Infinitec Solutions is reinventing software development for Banks and Enterprises to create a compelling Financial Customer Experience for their Small and Medium Enterprise (SME) clients across Europe. Our innovation platform allows our partners to deliver financial management solutions (banking and non-banking) as a mix of internal and third-party financial solutions. We are a tech startup located in Berlin with 40 people from 15 countries working mainly in Engineering and Product Management. Our Management team combines years of experience in Tech, banking and the SME space.

Ethics is, without a doubt, one of the most important topics to emerge in machine learning and artificial intelligence over the last year. While the reasons for this are complex, it nevertheless underlines that the area has reached technological maturity. After all, if artificial intelligence systems weren't having a real, demonstrable impact on wider society, why would anyone be worried about its ethical implications? It's easy to dismiss the debate around machine learning and artificial intelligence as abstract and irrelevant to engineers' and developers' immediate practical concerns. Ethics needs to be seen as an important practical consideration for anyone using and building machine learning systems.