Artificial Intelligence
Don’t trust AI for help with citations, science-fair judges warn
Fake, AI-generated citations have begun disqualifying major science-fair projects. Such ‘ghost’ references even haunt research journals.
HS-ETS1-3
Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and aesthetics, as well as possible social, cultural, and environmental impacts.
More Stories in HS-ETS1-3
- Tech
This Band Aid-like device could let you ‘feel’ the virtual world
Using a grid of tiny, fast-moving dots, this device realistically renders virtual textures by mimicking the feel of real-world objects.
- Space
Artemis II just made a historic loop around the moon
The astronauts had a front-row view of the lunar farside and the first eclipse ever seen from the moon.
- Tech
These smart robots are smaller than a grain of salt
Such tiny robots could someday explore the cellular realm to study health and treat diseases.
- Agriculture
This engineer designed a device to make farm work easier
Juan Espinoza engineered a device to help ease physical demands on workers at citrus farms.
- Tech
New light-activated coating can kill stubborn germs
Based on graphene, this new material can knock out hard-to-kill germs on contact — even in your mouth.
- Artificial Intelligence
Bots have their own social network, and it’s worrying experts
Security experts warn that Moltbook, which launched last month, is a "nightmare" where people may get their bots to steal others’ identities and money.
- Health & Medicine
You need to eat protein — but the right mix really matters
All proteins are not equal, research is showing. So while most Americans get plenty of protein, they might not be eating the most nutritious blend.
- Chemistry
Explainer: What is chirality?
Chiral molecules are mirror images of each other. They might not seem all that different — but can have drastically different effects in medicine, materials and more.
- Animals
Lions have a second roar that scientists have only just discovered
This insight from machine-learning analyses of recordings of calls in the wild might help detect where lions are declining.
