OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact. We believe AI should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible.The outcome of this venture is uncertain and the work is difficult, but we believe the goal and the structure are right. We hope this is what matters most to the best in the field.
Rapid Healthcare Inc., a mobile medical apps software company based in Irvine, California, is proud to announce an important alliance that will increase growth strategies for improved access to health care professionals through funding provided by Watermark Venture Capital. Watermark is a privately held California firm currently deploying its services to support large national companies to start-ups. Watermark Venture Capital selects award candidates for capital infusion, based in key technology growth areas such as the healthcare, artificial intelligence, SaaS and more...
It is 2018 everywhere, but not every country is treating being in the 21st century equally. China is rushing into it, even in healthcare, while the United States is tip-toeing its way towards the future. Especially in healthcare. Ready or not, the future is here...and the U.S. may not be ready...Artificial Intelligence: Yes, the U.S. has been the leader in A.I., with some of the leading universities and tech companies working on it. That may not be enough. A year ago China announced that it intended to be the world leader in A.I. by 2025. The Next Web recently concluded that China's progress since then "remains unchecked." China is far outspending the U.S. on A.I. research and infrastructure, coordinating efforts between government, research institutes, universities, and private companies. Dr. Steven White, a professor at China's Tsinghua University, "likens the country's succeed at all costs AI program to Russia's Sputnik moment." We have yet to have that wake-up call...
Cacophony Project uses the latest technology to monitor and protect endangered bird populations against predators. The Cacophony Project's broad vision is to bring back New Zealand's native birds using the latest technology to monitor bird populations and humanely eliminate the introduced predators that are endangering them. The project started in our founder's backyard to measure the effectiveness of his efforts to protect the birds on his property. From this simple beginning, the project has quickly grown into a system that includes two edge devices, a cloud server, and automatic identification of animals using machine learning. The project has been completely open source from the beginning and sees regular contributions from a wide variety of volunteers.
King College London, along with partner hospitals and university collaborators, unveiled new details today about one of the first projects on Cambridge-1, the United Kingdom's most powerful supercomputer. The Synthetic Brain Project is focused on building deep learning models that can synthesize artificial 3D MRI images of human brains. These models can help scientists understand what a human brain looks like across a variety of ages, genders, and diseases. The AI models were developed by King's and NVIDIA data scientists and engineers as part of The London Medical Imaging & AI Centre for Value Based Healthcare research funded by UK Research and Innovation and a Wellcome Flagship Programme (in collaboration with University College London).
Rescue teams descended on the destruction left by Hurricane Michael in October, frantically searching for survivors. But a week later, more than 1,000 people were still not accounted for, leaving families to wait and hope.Drone assistance in natural disaster response now is simplistic at best with a number of hurdles. But new research led by Purdue University professors is working to use artificial intelligence and learning algorithms to create a platform allowing multiple drones to communicate and adapt as mission factors change.
This idea of an iterative engaged learning environment (we can call it a “Learning Health Community”) is not far-fetched. Such a system would require quality evidence-based data and information delivered in real-time based on the real-world experiences of millions of patients. As new verified information and data develop, these would be incorporated and then deployed. We would harness the power of existing and future knowledge in a form that is usable by both medical professionals and the patients they serve. The questioning fathers and others similarly situated could access the Internet for augmented and personalized health information.
This article is the first in a three-part series that will discuss how machine learning impacts healthcare. The first article will be an overview defining machine learning and explaining how it fits into the larger fields of data science and artificial intelligence. The second article will discuss machine learning tools available to the average healthcare worker. The third article will use a common open source machine learning software application to analyze a healthcare spreadsheet. Part I was written to help healthcare workers understand the fundamentals of machine learning and to make them aware that there are simple and affordable programs available that do not require programming skills or mathematics background...
Ever seen the new TV show 'Pure Genius'? Probably not; its ratings are dismal. I've seen it, and, well, it isn't very good. But what I like is the premise: a young tech billionaire builds a hospital using only the latest technology, and treats patients regardless of cost. Gotta give the creators props for trying to re-imagine hospitals. The health care industry could do with some serious attempts at re-imaging, and not just for hospitals. What made me think about this were two stories about the auto industry, which is desperately trying to remain relevant in a world of Uber, self-driving cars, and our love affair with our various digital devices...
The Open Source Initiative has served as the key steward of open source software since its formation in 1998. In September 2021, the Open Source Initiative board hired Stefano Maffulli as its first Executive Director. I recently interviewed Stefano to learn more about him and his vision for the Open Source Initiative.