Okay, ChatGPT can't cure COVID, but using AI to develop vaccines has shown promising results.
Even though COVID vaccines ultimately saved lives, many were lost in the early days of the disease because scientists couldn’t develop the vaccine faster than the virus spread, and they had to update it when the virus mutated. Now, a team at the University of Cambridge has a way to get ahead of things.
They took the genetic blueprint of multiple coronaviruses related to the one that caused COVID-19 (think: the guest list to the worst family reunion ever) and are using artificial intelligence to work on a vaccine that would protect against a range of the viruses. It’s the first time a vaccine’s key component has been designed by AI and tested on people, but the trial’s work could open up a world of possibilities. Success would signify that we can use an AI antigen that’s safe and, importantly, can represent a whole group of viruses. That would mean we could move away from chasing a particular infection when it happens and towards preventing a whole family of viruses.
It’s too soon to know for sure, but scientists are hopeful that this technology can be implemented to replace the flu vaccine, prepare for bird flu, or protect against hemorrhagic fevers like Ebola.
Shhh! We're going inside Amazon's super-secret chip design lab! But not the kind where they invent new potato chips. Amazon gave the BBC a rare look inside Annapurna Labs, where engineers design custom computer chips that power artificial intelligence.
Their teams oversee the entire process, from testing newly built silicon chips to making sure they're ready to be installed in massive data centers. These chips are the brains behind AI tools that millions of people use every day — from chatbots and translation apps to online shopping recommendations and voice assistants. Each chip can perform more than 1,000 trillion calculations every second. If you solved just one calculation every second without ever stopping, it would take about 80 million years to do the same amount of work!
There are companies that specialize in making chips, but Amazon designs its own to help make AI systems faster, more energy-efficient, and less expensive to operate. As AI becomes more powerful and more common, Amazon is competing with companies like Google, Microsoft, and Nvidia to build the chips that will power the next generation of AI.
If you’ve ever wanted to ask Brussels sprouts… just… why? Well, you may be able to get pretty close. There’s an exhibition called Talking Plants at Cambridge University Botanic Garden, where visitors can talk to plants! Well, anyone can always talk to plants. But, in this greenhouse, artificial intelligence is being used to get the plants to respond.
The exhibit features a variety of plant life to go with 20 AI personalities a Cambridge professor, Sam, and his team created for the garden. With a QR code and a phone, visitors can come in and engage with the plants, ask them questions, and listen to their responses. Each plant has its own name, personality, and based on where in the world it's from, and some can speak multiple languages. They can even tell jokes!
If you’re ever scrolling online and find that you can’t believe your eyes, you might just want to trust your instinct. Deepfakes are AI-generated or AI-manipulated content (such as pictures, videos, or audio clips) that is designed to look or sound real. Nowadays, making them is a lot easier than it used to be, thanks to access to free, public tools online.
To make a deepfake of someone speaking, the AI only needs a picture and about 10 seconds of audio recording. The AI identifies facial landmarks (such as the eyes, nose, and mouth), predicts how those features would move while speaking, then synchronizes those movements with the generated audio to create a pretty realistic-looking video.
The results aren’t perfect. There are often repetitive face movements and mispronunciations, but they’re still close enough to be dangerous and spread misinformation. But, deepfakes can be great if used correctly! For instance, if someone has lost their voice, deepfake technology can recreate it.
Fact or fake? Introduce your students to the role of social media in spreading accurate news as well as inaccurate news and rumors. In this lesson, they’ll investigate questions they should ask before sharing news on social media and then design a flowchart for evaluating whether a news story is “shareworthy.”
In What About Social Media?, host Radzi Chinyanganya looks at what makes a story go viral, and explains how to evaluate whether or not the story is real before sharing it. Stories can be evaluated by asking if they’ve been reported elsewhere, if the organization that published it is reputable, and if the website the story was on is official. Deep fake videos that use AI to alter faces allow people to create realistic digital versions of themselves. The ability to swap faces has creative possibilities, but it can also be used to mislead people, so it’s crucial to look for clues that something might be false. This video is excerpted from BBC’s My World, a program created for teenagers eager to learn more about the important stories shaping our world.
In Is Digital Media Reliable?, host Radzi Chinyanganya explores the emerging technology of deep fakes and its implications for the media, politics, and society. This video explains how deep fake videos, which use artificial intelligence to manipulate images and sound, can create realistic yet entirely fabricated content. Learn how deep fakes are made, discuss their potential uses (both harmful and harmless), and examine the dangers they pose in spreading misinformation. This video is excerpted from BBC’s My World, a program created for teenagers eager to learn more about the important stories shaping our world.
“I’ll ask ChatGPT” is probably something you hear (and say) more and more these days. With AI here to stay, schools are thinking about how to handle the situation.
AI tools like ChatGPT may seem like a quick fix to homework you don’t want to do, but it struggles with the kind of higher-level thinking that students need to be demonstrating. It also has giveaways like repeating questions, offering surface-level answers, and even giving fake or inaccurate references!
But, instead of flat-out banning AI, universities are teaching students how to use it properly. You shouldn’t (and probably can’t) get answers straight from ChatGPT, but there’s a way to use it for initial brainstorming, or as a starting point. After that, students still need to go the extra mile. The goal is to encourage students to learn how to use AI to work with, not instead of, their brains.
Okay, ChatGPT can't cure COVID, but using AI to develop vaccines has shown promising results.
Even though COVID vaccines ultimately saved lives, many were lost in the early days of the disease because scientists couldn’t develop the vaccine faster than the virus spread, and they had to update it when the virus mutated. Now, a team at the University of Cambridge has a way to get ahead of things.
They took the genetic blueprint of multiple coronaviruses related to the one that caused COVID-19 (think: the guest list to the worst family reunion ever) and are using artificial intelligence to work on a vaccine that would protect against a range of the viruses. It’s the first time a vaccine’s key component has been designed by AI and tested on people, but the trial’s work could open up a world of possibilities. Success would signify that we can use an AI antigen that’s safe and, importantly, can represent a whole group of viruses. That would mean we could move away from chasing a particular infection when it happens and towards preventing a whole family of viruses.
It’s too soon to know for sure, but scientists are hopeful that this technology can be implemented to replace the flu vaccine, prepare for bird flu, or protect against hemorrhagic fevers like Ebola.
Shhh! We're going inside Amazon's super-secret chip design lab! But not the kind where they invent new potato chips. Amazon gave the BBC a rare look inside Annapurna Labs, where engineers design custom computer chips that power artificial intelligence.
Their teams oversee the entire process, from testing newly built silicon chips to making sure they're ready to be installed in massive data centers. These chips are the brains behind AI tools that millions of people use every day — from chatbots and translation apps to online shopping recommendations and voice assistants. Each chip can perform more than 1,000 trillion calculations every second. If you solved just one calculation every second without ever stopping, it would take about 80 million years to do the same amount of work!
There are companies that specialize in making chips, but Amazon designs its own to help make AI systems faster, more energy-efficient, and less expensive to operate. As AI becomes more powerful and more common, Amazon is competing with companies like Google, Microsoft, and Nvidia to build the chips that will power the next generation of AI.
If you’ve ever wanted to ask Brussels sprouts… just… why? Well, you may be able to get pretty close. There’s an exhibition called Talking Plants at Cambridge University Botanic Garden, where visitors can talk to plants! Well, anyone can always talk to plants. But, in this greenhouse, artificial intelligence is being used to get the plants to respond.
The exhibit features a variety of plant life to go with 20 AI personalities a Cambridge professor, Sam, and his team created for the garden. With a QR code and a phone, visitors can come in and engage with the plants, ask them questions, and listen to their responses. Each plant has its own name, personality, and based on where in the world it's from, and some can speak multiple languages. They can even tell jokes!
If you’re ever scrolling online and find that you can’t believe your eyes, you might just want to trust your instinct. Deepfakes are AI-generated or AI-manipulated content (such as pictures, videos, or audio clips) that is designed to look or sound real. Nowadays, making them is a lot easier than it used to be, thanks to access to free, public tools online.
To make a deepfake of someone speaking, the AI only needs a picture and about 10 seconds of audio recording. The AI identifies facial landmarks (such as the eyes, nose, and mouth), predicts how those features would move while speaking, then synchronizes those movements with the generated audio to create a pretty realistic-looking video.
The results aren’t perfect. There are often repetitive face movements and mispronunciations, but they’re still close enough to be dangerous and spread misinformation. But, deepfakes can be great if used correctly! For instance, if someone has lost their voice, deepfake technology can recreate it.
Fact or fake? Introduce your students to the role of social media in spreading accurate news as well as inaccurate news and rumors. In this lesson, they’ll investigate questions they should ask before sharing news on social media and then design a flowchart for evaluating whether a news story is “shareworthy.”
In What About Social Media?, host Radzi Chinyanganya looks at what makes a story go viral, and explains how to evaluate whether or not the story is real before sharing it. Stories can be evaluated by asking if they’ve been reported elsewhere, if the organization that published it is reputable, and if the website the story was on is official. Deep fake videos that use AI to alter faces allow people to create realistic digital versions of themselves. The ability to swap faces has creative possibilities, but it can also be used to mislead people, so it’s crucial to look for clues that something might be false. This video is excerpted from BBC’s My World, a program created for teenagers eager to learn more about the important stories shaping our world.
In Is Digital Media Reliable?, host Radzi Chinyanganya explores the emerging technology of deep fakes and its implications for the media, politics, and society. This video explains how deep fake videos, which use artificial intelligence to manipulate images and sound, can create realistic yet entirely fabricated content. Learn how deep fakes are made, discuss their potential uses (both harmful and harmless), and examine the dangers they pose in spreading misinformation. This video is excerpted from BBC’s My World, a program created for teenagers eager to learn more about the important stories shaping our world.
“I’ll ask ChatGPT” is probably something you hear (and say) more and more these days. With AI here to stay, schools are thinking about how to handle the situation.
AI tools like ChatGPT may seem like a quick fix to homework you don’t want to do, but it struggles with the kind of higher-level thinking that students need to be demonstrating. It also has giveaways like repeating questions, offering surface-level answers, and even giving fake or inaccurate references!
But, instead of flat-out banning AI, universities are teaching students how to use it properly. You shouldn’t (and probably can’t) get answers straight from ChatGPT, but there’s a way to use it for initial brainstorming, or as a starting point. After that, students still need to go the extra mile. The goal is to encourage students to learn how to use AI to work with, not instead of, their brains.