If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Artificial Intelligence (AI) is changing the world. Many industries have already been impacted by the integration of AI technology to improve business processes, but that's only the beginning. Through the use of big data, machine learning, and the Internet of Things (IoT), AI captures the ability to think and make decisions like a human would -- but on a massive scale. Correspondingly, this technology has found a use in almost every sector of industry. Education, healthcare, human resources, marketing, and supply chain management have changed and continue to develop through the use of AI technology.
Healthcare is on the brink of revolution, owing to the rapid industrialisation of medicine. We are not talking about'global challenges', but far from meeting them. Healthcare is very splintered across the geography that it would be impractical to implement "technological advances" without giving due cognisance to socio-cultural issues. I find it surprising, because investors' "money (either in the form of grants or venture capital) can be better used by working on modest goals, thereby scaling them. Academia is highly risked averse in several ways; grant committees find it easier for a group think and there's no funding of a breakout idea.
WellAI data scientists Daniel Satchkov and Sergei Polevikov will present their most recent research entitled "Reading 25 Million Studies in Seconds: Implications for Fighting COVID-19 and Managing a Portfolio" at a free webinar on August 25, 2020. The webinar will take place from 12pm to 1pm EST, and is jointly organized by the Society of Quantitative Analysts (SQA) and WellAI. Discussion will be partly based on a study "Artificial Intelligence-powered search tools and resources in the fight against COVID-19″ published in the Journal of the International Federation of Clinical Chemistry and Laboratory Medicine in June 2020, and is currently available through the PubMed database of the National Institutes of Health (NIH). Sergei Polevikov, CEO of WellAI and a board director at SQA, explained: "We wanted to share our unique experience as we believe our work is relevant to both medical researchers and finance professionals. WellAI data scientists had built a free COVID-19 analytical tool for medical researchers around the world in early April 2020, to help fight the pandemic.
In the era of digital transformation, more organizations across industries are looking to leverage artificial intelligence (AI) to enhance day-to-day operations. In recent weeks, a number of organizations have tapped AI to help mitigate the spread of the coronavirus. These applications range from using AI systems to monitor social distancing and contact tracing to identifying potential treatments for COVID-19. Earlier today, Microsoft announced a series of updates to the Azure AI system to help with everything from enhanced healthcare data management to leveraging the latest voice-enabled technologies for enhanced customer engagement experiences. In partnership with the Allen Institute of AI and other research groups, Microsoft developed the COVID-19 Open Research Dataset.
Amazon Web Services held an online panel discussion Thursday that looked at how the company's cloud infrastructure is supporting the COVID-19 response, from outbreak prediction to vaccine development. The rapid progression from viral outbreak in China to full-blown global pandemic has magnified the role of clinical researchers, biotech companies and drug manufacturers in the global response to the virus. For the key players in this space, the COVID-19 pandemic has become a high stakes data challenge and cloud technology case study. AWS customers BlueDot, Lifebit, AbCellera, Moderna, UC San Diego Health System, and Babylon are using a range of cloud technologies to increase the pace of innovation, accelerate development timelines and help improve outcomes during the COVID-19 pandemic. From cancelled conferences to disrupted supply chains, not a corner of the global economy is immune to the spread of COVID-19.
Healthcare has often been sat on the sidelines when it comes to digital innovations. Part of that is because these services are often under-funded and what resources they do have are channelled into front-line care as much as possible. But it's becoming increasingly clear that technology can play a role in helping doctors deal with the ever-rising pressure to deliver more services. The response to the cornonavirus crisis, which has seen the broad adoption of everything from video conferencing to AI, is unlikely to be undone; expect the future of healthcare to feature more data analysis and automation. With many of those contracting COVID-19 picking up the disease in hospital and medical staff suffering significant levels of infection themselves, robots could offer a way of delivering hospital care while reducing the chances of person-to-person transmissions. Prior to COVID-19, robots were mostly used in operating theatres, under the control of surgeons.
The practice to include Artificial Intelligence in industry application is skyrocketing for a decade now. It is evident since, AI and its constituent applications Machine Learning, computer vision, facial analysis, autonomous vehicles, deep learning form the pillars of modern digital empowerment. The ability to learn the data it is trained up to understand the binary, quantum computation of the world, and make decisions derived from its insights makes AI unique than earlier technologies. Leaders believe that possessing AI-based technologies equate to future industry successes. From healthcare, research, finance, logistics to military, law enforcement department AI holds the key to massive competitive edge and up-gradation with monetary benefits too.
With some even suggesting machines will lead the future of care. But with the risk of error still too high, and covid19 highlighting how much we need a human touch, is the future of Artificial Intelligence salutogenic rather than pathogenic? In 1979 the medical sociologist Aron Antonovsky proposed an approach termed'salutogenesis,' a theory of how and why certain people stay healthy. The word'salutogenesis' comes from the Latin word salus, meaning health, and the Greek word genesis meaning origin. As a medical approach, it focuses on factors that support human health and well-being, rather than on factors that cause disease (pathogenesis).
According to news, Machine Learning is one of the most prominent technology for the future of the Healthcare industry. Is there any significant value, or is it just optimistic forecasts? In this article, you will learn on some practical implementations of the technology, as well as some on-point predictions. Today, technology-enabled healthcare is a reality as smart medical devices become a widespread thing. The healthcare industry welcomes the innovation; that's why the future of AI in healthcare is very bright.
Artificial intelligence has long caused fear of job loss across many sectors as companies look for ways to cut costs, support workers and become more profitable. But new research suggests that even in STEM-based sectors like cybersecurity, AI simply can't replace some traits found only in humans, such as creativity, intuition and experience. There's no doubt, AI certainly has its place. And most business leaders agree that AI is important to the future success of their company. A recent survey found CEOs believe the benefits of AI include creating better efficiencies (62 percent), helping businesses remain competitive (62 percent), and allowing organizations to gain a better understanding of their customers, according to Ernst and Young.