Facial recognition technology was a product of fiction for most people just about 20 years ago. However, it’s not new – the first solution was made around the 60s. What started as a technology that recognized faces from newspapers and drawings evolved into today's greatest surveillance and personalization tool. At this point, facial recognition is widely implemented by different companies...
Read moreHave you ever wondered how smartphones alert people with auditory impairments to critical sounds like smoke alarms, baby cries, or doorbells? That is sound recognition technology in action, powered by machine learning (ML). The tech enables computers to accurately identify and categorize music, human speech, and environmental noises. A recent study found that an AI audio recognition model could correctly...
Read moreYou have probably heard about the rapid progress in AI for analyzing human faces. Facial recognition, emotion detection, age estimation – the list goes on. At first glance, these technologies seem incredibly useful, even magical. However, it is important to understand the limitations of face recognition accuracy to avoid potentially harmful misuse. As a person interested in artificial intelligence, you might...
Read more2024 is the year of the Olympic Games in Paris. Millions of tourists will gather to watch top athletes competing, and image recognition will be a special guest at the events for the sake of security. You can experience image recognition even if you are not visiting Paris this year. The technology has many applications in healthcare, retail, and transportation....
Read moreImage recognition revolutionizes many business sectors, from retail to agriculture. It is actively spreading across the globe. By 2030, the technology market is expected to become a USD 134 billion industry, transforming many sectors as we know them today. The growing adoption of machine learning and artificial intelligence is a key factor fueling this trend. Yet, image recognition has its...
Read moreThe more we rely on gadgets, the more passwords we need. And let us admit: it gets tedious. In fact, 60% of people walk away from buying something because the login process is too annoying. How can you make it less complicated for users without compromising security? The answer might be biometrics, like using fingerprints, facial features, or voice recognition. ...
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