5 AI Use Cases from A Delhi Public School Surat Student
Today, I will be telling you about how AI is used in some surprising ways that you may have never heard of before.
AI Bees Helping Pollinating Crops
When you first see this you might think that this is not a very practical AI use case. I mean we have real-life bees, why do we need robotic ones? This is true for most places but in farms, the plants need to be sprayed with pesticides to kill the harmful pests. But this has a side effect and ends up killing all the organisms, even bees that are indispensable to the ecosystem.
This is where robotic bees come in. Scientists worked to develop an artificial bee with an incorporated AI system that mimics bees. The bee drones come with a GPS to locate a specific location and a high-resolution camera working similar to the eye of a honeybee. Bees are functional in playing their ecological role; they support farmers by pollinating the crops for proper germination. Now the artificial bee is ready to locate the crop area for adequate pollination.
AI Instagram Influencers!?
Another popular AI use case has been in the realm of social media. AI has even infiltrated an app that is a large part of any kid’s social life today: Instagram. There are hundreds of AI models on Instagram today that are almost a hundred percent artificial. They used machine learning to analyze patterns of common Instagram posts and create their own in a similar theme. They use deepfake models to create photos of themselves on various occasions such as birthdays, galas, balls, etc. Several designing companies also sponsor and collab with them to show their clothing pieces digitally. Apart from designers, companies from various different industries often sponsor these AI influencers. The fact that AI has advanced so much that it can mimic a human being in what is considered today as social interaction is just mind-boggling to me!
AI May Decide What Job You Get (and how to make an impression!)
Today, companies are using AI more and more to streamline the applicants for a job. It reduces their work sufficiently and allows them to shortlist candidates without taking even one look at their resumé. But this AI can sometimes make mistakes while evaluating your resumé and this can even lead you to lose your job. So, how do you ensure this never happens? Ditch conventional advice about résumés. Instead of choosing a unique design or color scheme and including robust job descriptions, focus on making it as simple and straightforward as possible, says Ian Siegel, co-founder, and CEO of ZipRecruiter.
“Conventional wisdom will kill you in your search for a job,” Siegel says. “You want the simplest, most boring résumé template you can find. You want to write like a caveman in the shortest, crispest words you can.”
In most cases, when candidates apply for jobs their résumés will first be processed by an automated applicant tracking system (ATS), Siegel says. To increase your chances of advancing to an interview, you should submit a résumé that the AI will interpret accurately. Use short, descriptive sentences to help an AI parse your résumé, Siegel says. Clearly list your skills. If possible, include details about where you learned them and how long you’ve used them, plus any licensing or certification numbers that verify your expertise. “You want to be declarative and quantitative because software is trying to figure out who you are and decide whether you will be put in front of a human,” he says.
AI Making AI?
Talking about AI making itself just creates this nightmare of Skynet and a world under the control of AI in anyone’s(who has watched terminator) mind. But don’t worry, AI making itself is still a few decades away. Right now we have just started to take small baby steps in that direction.
One of the first such projects was POET started by Wang. An artificial intelligence researcher at Uber, Wang likes to leave the Paired Open-Ended Trailblazer(POET) running on his laptop overnight. POET is a kind of training dojo for virtual bots. So far, they aren’t learning to do much at all. These AI agents are not playing Go, spotting signs of cancer, or folding proteins—they’re trying to navigate a crude cartoon landscape of fences and ravines without falling over. But it’s not what the bots are learning that’s exciting—it’s how they’re learning. POET generates the obstacle courses, assesses the bots’ abilities, and assigns their next challenge, all without human involvement. Step by faltering step, the bots improve via trial and error. “At some point, it might jump over a cliff like a kung fu master,” says Wang. So if AI ever makes itself, it will be in a process similar to POET; through trial and error!
AI Chameleon!
One of the most interest AI use case is from Researchers in South Korea who have created a robot chameleon capable of imitating its biological counterpart, paving the way for new artificial camouflage technology. Using color sensors, tiny heaters made of silver nanowires, and thermochromic materials, which change color when exposed to different temperatures, the team was able to re-create multiple high-resolution skin patterns that allowed the robot to transition between colors almost instantly.
