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) …
Can you get pregnant using Artificial Intelligence? One American startup is trying to make it so. Mira Care, which SHACK15 News met up at CES 2018, has designed a gadget that harnesses machine learning to track hormone levels, and suggest how likely a user is to conceive a baby at a given time. Users just need to pee on a test stick and insert it in the device; then, Mira's algorithm will blend data from the sample with information about each user's fitness and life habits in order to calculate a fertility score, which will be shown on a mobile app. Mira's AI-powered device and its linked app showing a user's fertility score (via Mira Care) "One difference with any other menstrual cycle tracker is personalization," company CEO Zheng Yang said."It
Conditions which affect our mental health often affect the way we use language; and treatment often involves linguistic interaction. This talk will present work on three related projects investigating the use of computational natural language processing (NLP) to help understand and improve diagnosis and treatment for such conditions. We will look at clinical dialogue between patient and doctor or therapist, in cases involving schizophrenia, depression and dementia; in each case, we find that diagnostic information and/or treatment outcomes are related to observable features of a patient's language and interaction with their conversational partner. We discuss the nature of these phenomena and the suitability and accuracy of NLP techniques for detecting them automatically.
If the business community has learned anything over the last 10 years, it's how to prevail in a difficult market environment. Driven by economic challenges, organizations have learned how to work leaner, cut costs and use digital technologies to survive. But, in a time when a wealth of new opportunities are emerging, many still are not thriving because they're ignoring the human factor -- people, a highly irreplaceable resource in the digital age. More than ever, businesses are contending with constant, disruptive change. While enhanced processes and new technologies can help, there's no substitute for people.
Health care providers enter into dozens of contracts with outside companies, like medical record disposal or storage entities, that have access to patients' medical information. Dan Mulholland, senior partner at the health law firm Horty Springer, said these contracts come and go so frequently that they're not always reviewed by a lawyer because of cost and time constraints. But even tiny errors in the documents can create huge liabilities if patient information is mishandled. "There have been some fines for privacy breaches, imposed under HIPAA, that have been in the millions of dollars," said Mulholland. Mulholland said AI software created by local start-up LegalSifter could provide a sort of advanced spell check to clients.
Startups from around the world are innovating in the ways artificial intelligence can be brought to bear in the healthcare space, with clinical, financial and operational applications, as evidenced by new launches from two AI companies with roots in Israel. This week, Netanya-based CLEW Medical, launched its predictive analytics platform, which crunches real-time data with machine learning technology to drive quality and safety improvement and help control costs. The company, formerly known as Intensix, said the AI platform can help health systems prevent life-threatening complications across settings. It's been deployed in intensive care units already, and CLEW aims to expand the technology's applications, giving staff insights to help streamline medical care. Officials pointed out that inpatients often come with some 300 unique data elements to be tracked, some measured every few milliseconds.
Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 "The Year of AI." AI outperformed professional gamers and poker players in new realms. Access to deep learning education expanded through various online programs. The speech recognition accuracy record was broken multiple times, most recently by Microsoft. And research universities and organizations like Oxford, Massachusetts General Hospital and GE's Avitas Systems invested in deep learning supercomputers. These are a few of many milestones in 2017.
Google released a new AI tool on Wednesday designed to let anyone train its machine learning systems on a photo dataset of their choosing. The software is called Cloud AutoML Vision. In an accompanying blog post, the chief scientist of Google's Cloud AI division explains how the software can help users without machine learning backgrounds harness artificial intelligence. All hype aside, training the AI does appear to be surprisingly simple. First, you'll need a ton of tagged images.
While the use of artificial intelligence to predict deaths may sound ludicrous, researchers are trying to establish the technology's potential in alerting physicians and medical professionals of patients that are at greater risks of dying in the near future. This way, doctors can administer the right end-of-life approach in dealing with the patients and their loved ones. A team at Stanford University has examined the use of artificial intelligence in palliative care in their paper "Improving Palliative Care with Deep Learning" published on the arXiv preprint server. Researchers used the machine learning technique called deep learning, which utilizes neural networks to filter and learn from massive data, in the study. What they did is come up with a model and fed its deep learning algorithm with data from the Electronic Health Records of 2 million adult and child patients admitted to either Stanford Hospital or Lucile Packard Children's hospital.
Artificial intelligence is starting to play a transformational role in the healthcare industry, even if opportunities for using it are just beginning to be explored. That's an initial finding of a new report from JASON, an independent group of scientists advising the federal government on science and technology issues. The Department of Health and Human Services and the Robert Wood Johnson Foundation commissioned the report; the names of the scientists who developed the report are not being released. Computers can match human competence in image recognition and, in some studies, can make diagnostic decisions on medical images that match or exceed the ability of clinicians. Technology is also getting better at speech recognition and natural language processing.
AI has become "ALL IN" and pervading at a rapid speed. Technology moves at breakneck speed, and we now have more power in our pockets than we had in our homes in the 1990s. Artificial intelligence (AI) has been a fascinating concept of science fiction for decades, but many researchers think we're finally getting close to making AI a reality. NPR notes that in the last few years, scientists have made breakthroughs in "machine learning," using neural networks, which mimic the processes of real neurons. Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society.