The last few years have seen breakthroughs in machine learning—using neural networks, which imitate the processes of real neurons. Artificial intelligence is slowly becoming part of the technology and services we use on a daily basis. Here are a few areas in which you’ll increasingly notice AI applications.
#1 Health care
Health professionals have to review reams of data manually before they diagnose or treat a patient. Today, high-performance computing in combination with graphic processing units have become key tools for deep learning and AI platforms, due partly to their parallel processing power. Deep learning platforms quickly provide real-time insights and, combined with the explosion of computing power, are helping healthcare professionals to diagnose patients faster and more accurately, develop innovative new drugs and treatments, reduce medical and diagnostic errors, predict adverse reactions, and lower the costs of healthcare for providers and patients.
Google’s Launchpad Studio, for instance, is creating an ecosystem of applied machine learning startups and has begun by focusing on healthcare. For example, one of the first companies to join the studio earlier this month, Byteflies, is building a plug-and-play platform for wearables that other software developers could use to harness machine learning to transform raw data into actionable insights.
Eldercare is a growing concern for many families. Elderly relatives who can’t easily care for themselves but who do not want to leave their homes could be assisted by in-home robots. That solution offers family members more flexibility in managing a loved one’s care. The at-home robots could very soon help seniors with everyday tasks and allow them to stay independent and in their homes for as long as possible, which improves their overall well-being.Related: Three Ways Technology Can Help Seniors Live Independently
Stanford University is working on this type of robot solution. Medical and AI researchers have piloted systems based on infrared cameras that can detect when an elderly person falls. Researchers are monitoring the activities of elderly subjects, including: eating, sleeping, falls, slowed movements, unstable transfers, front door loitering, day and night reversals, fluid intake, chair and bed immobility, urinary frequency, restlessness, fever, substance abuse, and pill, and consumption of alcohol and food.
People who work in finance need to derive insights from their data. AI can help them streamline operations, improve product offerings and enhance customer experiences. Banks and other financial service organizations have collected a treasure trove of data, resulting in large data sets. They also have extensive experience with analytical tools, so they have a head start with the application of AI, which can make many banking services more powerful. Related: AI Might Soon Replace Hedge Fund Managers
Using location data and other intelligence, AI can help banks and credit issuers, for example, identify fraudulent behavior while it is happening. It can also detect what the next pattern of suspicious behavior will be. Furthermore, AI can help with meeting regulatory requirements on a real-time basis. Issues can, therefore, be flagged—and addressed—earlier.
The impact of AI systems comes down to the manner in which they are deployed. By using them to augment human intellect, every-day or mundane tasks will be eliminated or made much easier, freeing people up to accomplish tasks they consider more fulfilling.
Content sponsored by Digi-Key Electronics.