When you hear news about artificial intelligence (AI), it can be easy to assume that it has nothing to do with you. You can imagine that AI is something that the big tech giants focus on and that AI does not affect their daily lives. In reality, most people encounter AI in the morning tonight. Here are
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One of the many things many public do each morning is reach for their smartphones. And, when your device will unblock using biometric data, like with Face ID, you’re using AI to enable that functionality. Apple’s FaceID can see in 3D. Illuminate your face, place 30,000 invisible infrared points on it, and capture an image. It then uses machine learning algorithms to compare the scan of your face with what it has stored about your face to determine whether or not the person trying to unlock the phone is you. Apple claims that the chance of cheating FaceID is one in a million.
After unlocking your phones, what’s next? Many people check their social media accounts, including Facebook, Twitter, Instagram and more, to get updates on what happened overnight. AI is not only working behind the scenes to personalize what you see in your feeds (because it’s learned which types of posts resonate with you the most based on history) but also discovering friend suggestions, identifying and filtering out fake news
Every day, most of us will send an email (or several). Tools like Grammarly and spell checking kick in when you compose your email to help you write error-free messages. These tools use AI and usual language dispensation. On the receiving end of your messages, spam filters use AI to block suspected spam emails or identify an email as something the recipient wants to receive in their inbox. Antivirus software also uses machine learning to protect your email account.
Most of us can’t go a day without Googling for an answer or a product we can’t live with. Search engines couldn’t scan the entire internet and deliver what you want without the help of AI. Yes, those are AI-enabled, based on your search history, and personalized to you to fetch items the algorithms think you’ll value.
From getting directions to your lunch spot to asking about the weather for your weekend getaway, digital voice assistants are fast becoming our co-pilots who life can’t live. From Siri and Alexa to Google Home and Cortana, these tools use natural language processors and AI-powered generators to return answers to you.
Our house is becoming more and more “intelligent”. At present, many of us have “smart” thermostats, like the Nest, that study our heating/cool preferences and daily habits to adjust the heat to our liking in time for our return home. There are smart refrigerators that create lists of what you need based on what is no longer in your fridge and offer wine recommendations to go with your dinner. Of course, intelligent devices will continue to become more common.
AI-enabled travel aids include more than maps. Google maps and other travel apps use AI to monitor traffic, give you real-time traffic and weather conditions, and suggest ways to avoid gridlock. The car you drive to work can have driver-assist technology, and in places like Mountain View, California, you can order a self-driving vehicle through Google’s sister company Waymo to get you to and from work.
There are many ways AI will implement in our banking system. It is highly involved in the security of our transactions and in detecting fraud. Whether you deposit a check by scanning it with your phone, getting a low balance alert, or even logging into your online bank account, AI works behind the scenes. Visit a store during lunch and buy a new pair of pants. The AI will verify the purchase to determine if it’s a “normal” transaction and validate or decline the trade for fear that someone unauthorized is using your credit card.
When it’s time to unwind at the end of the day, many turn to streaming services like Netflix. AI powers the company’s recommendation engine. It makes recommendations based on your previous watching history (including genres, actors, periods, and more). Your tool becomes as detailed as the time of day you viewed and the types of things you usually enjoyed. Netflix suggestions account for 80 per cent of what we watch.
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