Artificial Intelligence
Two AI trailblazers win the 2024 Nobel Prize in physics
John Hopfield and Geoffrey Hinton used brain-like networks based on principles of physics to jump-start machine learning.
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John Hopfield and Geoffrey Hinton used brain-like networks based on principles of physics to jump-start machine learning.
A technique from astronomy could help detect deepfakes by spotting unrealistic reflections in the eyes of AI-generated images.
Being controlled by reinforcement learning — a type of AI — helps robots navigate tough terrain. This could bring computer smarts to the real world.
With AI image generators on the scene, artists see both power and peril ahead.
The racism, sexism, ableism and other biases common in bot-made images may lead to harm and discrimination in the real world.
Experts worry that by making it harder to tell what’s true, AI can threaten people’s reputations, health, fair elections and more.
Unlike people, this type of artificial intelligence isn’t good at learning concepts that it can apply to new situations.
Today’s bots can’t turn against us, but they can cause harm. “AI safety” aims to train this tech so it will always be honest, harmless and helpful.
Researchers break chatbots in order to fix them. This so-called red-teaming is an important way to improve AI’s behavior.
Scammers can use AI to create deepfake mimics of people’s voices. AntiFake could make that type of trick much harder to pull off.