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) …
"Some of the deep learning neural networks require tremendous amounts of computing power to train the systems," Elliot said. Properly planning for and designing an infrastructure that can support your specific environment's computational processing and storage requirements is critical to attaining AI's benefits. Furthermore, organizations may start too big, have the wrong data, or have a lot of data that's unusable, he said. Getting data assets and capabilities in place will deliver a huge lift to any planned AI project. Take a look at your talent.
Why has machine learning become so critical to cybersecurity? With machine learning, cybersecurity systems can analyze patterns and learn from them to help prevent similar attacks and respond to changing behavior. Machine learning helps cybersecurity teams be more pro-active in preventing threats and responding to active attacks in real time. Machine learning can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, machine learning can make cybersecurity simpler, more proactive, less expensive and far more effective.
AI is rocking medical diagnosis with its potential to incite drastic improvements to hospital processes. AI can process images and patient health records with more accuracy and expediency than humans are capable of, lessening physician workload, reducing misdiagnosis, and empowering clinical staff to provide more value. While early moving hospitals are already extracting value from AI in medical diagnosis, most US hospitals are at the very early stage of the AI transformation curve -- and they risk falling behind if they don't move now. In this report, Business Insider Intelligence examines the value of AI applications in three high-value areas of medical diagnosis -- imaging, clinical decision support, and personalized medicine -- to illustrate how the tech can drastically improve patient outcomes, lower costs, and increase productivity. We look at US health systems that have effectively applied AI in these use cases to illustrate where and how providers should implement AI.
It seems like artificial intelligence is taking over the world, leaving many of us non-techies feeling terrified. Yet when you stop to think about it, we all use artificial intelligence (AI) every day. When we Google something, use Siri on our smartphones or ask Alexa a question, we are using AI. Hollywood has certainly featured AI in many movies from "The Terminator" series to "Robocop" and "I, Robot." In "Minority Report," algorithms predict who is going to commit a crime, and the person is arrested before the crime can be committed.
Do you know why your CMO needs artificial intelligence NOW? Because: CMOs must show measurable financial results for the budget they invested! Wonder how AI relates to financial results? I'm not surprised since the answer may not be obvious. With an ever-increasing number of smart devices, apps and methods, consumers have more and more ways to get information and create content digitally. In the process, they create an explosion of data for marketers to track and analyze.
The US labor market looks markedly different today than it did two decades ago. It has been reshaped by dramatic events like the Great Recession but also by a quieter ongoing evolution in the mix and location of jobs. In the decade ahead, the next wave of automation technologies may accelerate the pace of change. Millions of jobs could be phased out even as new ones are created. More broadly, the day-to-day nature of work could change for nearly everyone as intelligent machines become fixtures in the American workplace. Until recently, most research on the potential effects of automation, including our own, has focused on the national-level effects. Our previous work ran multiple scenarios regarding the pace and extent of adoption. In the midpoint case, our modeling shows some jobs being phased out but sufficient numbers being added at the same time to produce net positive job growth for the United States as a whole through 2030.
For the Vision AI Developer Kit, Microsoft and Qualcomm have partnered to simplify training and deploying computer vision-based AI models. Developers can use Microsoft's cloud-based AI and IoT services on Azure to train models while deploying them on the smart camera edge device powered by a Qualcomm's AI accelerator. Let's take a close look at Vision AI Developer Kit. The Vision AI Developer Kit not only looks stylish and sophisticated, but also boasts of an impressive configuration. The kit is powered by a Qualcomm Snapdragon 603 processor, 4GB of LDDR4X memory and 16GB of eMMC storage.
Central Learning, a web-based coding assessment and education application, released the results of the 4th annual nationwide ICD-10 coding contest. Central Learning is part of the Pena4, Inc. suite of health information and revenue cycle technology solutions for healthcare organizations. Manny Peña, RHIA, Founder and CEO of Pena4, Inc., announced today that Kristin Iovino from Lexington, Massachusetts, received $1,000 for achieving the highest average accuracy and productivity scores for outpatient cases. This year's contest focused on outpatient coding performance to address some of the challenges associated with the surge in outpatient reimbursement, coding errors and claim denials, with the goal of helping HIM, coding and revenue cycle teams pinpoint opportunities for improvement. Four years of coding contests have resulted in over 10,000 real medical record cases using Central Learning, a real-time, online coder assessment tool for HIM.
Uncertainty involves making decisions with incomplete information, and this is the way we generally operate in the world. Handling uncertainty is typically described using everyday words like chance, luck, and risk. Probability is a field of mathematics that gives us the language and tools to quantify the uncertainty of events and reason in a principled manner. In this post, you will discover a gentle introduction to probability. Photo by Emma Jane Hogbin Westby, some rights reserved.
Places at the workshop are limited, please, contact us if you are interested in attending the event. Within the framework of the CEU ITI Comparative Populism Project this one-day workshop brings together CEU faculty and international scholars working on topics related to populism, technology, law, and governance within different disciplinary traditions. The aim is to explore the technological challenges to the rule of law, and to analyze the contribution of various emerging technologies to the increasing manifestation of populism. In order to arrive at more generalizable conclusions about the function of populism in public policy, party politics, public administration, the law, and foreign policy, this workshop focuses on the role of technology and governance. The workshop seeks to answer two pressing questions: What is the relationship between populist politics and new digital technologies, like artificial intelligence and machine learning?