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Machine Learning
The quiet transfer of human agency in the age of artificial intelligence.
By treating the human body as an information system, scientists are using AI to simulate cells, visualize hidden biology, and detect disease at its earliest — and most preventable — stages.
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Writer and media theorist Bogna Konior connects cosmos and computer by reconsidering our eerily silent Universe.
The case for why AI systems are not merely "stochastic parrots."
Researcher and Google CTO Blaise Agüera y Arcas joins us to discuss his new book, "What Is Intelligence?"
A preview of the latest novel by the Hugo- and Nebula-winning author.
Behind the plateau in corporate AI lies a surge in personal and agentic use.
The conversation you're having with an LLM about groundbreaking new ideas in theoretical physics is completely meritless. Here's why.
In "Raising AI," De Kai argues that today's AIs are already more like us than we think they are.
Just 10 years ago, humanity had never directly detected a single gravitational wave. We're closing in on 300 now, with so much more to come!
By looking outside the current wave of hype, we can create a framework for weighing up the practical impact of AI on any business.
A look inside Mindstate Design Labs' effort to design drugs that reliably produce specific states of mind.
OpenAI has become a household name in artificial intelligence — but back in 2018 things looked very rocky. Here’s what happened.
Cognitive neuroscientist and AI researcher Christopher Summerfield explores the differences, and similarities, of how AI and humans make meaning of the world.
Philosopher and author Christopher DiCarlo outlines the key areas where AI continues to reshape the labor landscape.
Motility was suggested as a promising "biosignature" as early as the 1960s, but the technology was insufficient — until now.
Chetan Dube — founder and CEO of Quant — tells Big Think why a pivotal and monumental year for agentic AI has just begun.
With no reliable way to discern the author of an artwork, we may eventually abandon the question of whether something was made by humans or not.
“We can build AI scientists that are better than we are… these systems can be superhuman,” says the FutureHouse co-founder.
AI software is rapidly accelerating chip design, potentially leveling up the speed of innovation across the economy.
A crowdsourced "final exam" for AI promises to test LLMs like never before. Here's how the idea, and its implementation, dooms us to fail.
Artificial intelligence is much more than image generation and smart-sounding chatbots; it's also a Nobel-worthy endeavor rooted in physics!
When AI eats its own product, it gets sick.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
Such discoveries help researchers better understand the development of molecular complexity in space during star formation.
It's knowledgeable, confident, and behaves human-like in many ways. But it's not magic that powers AI though; it's just math and data.
"How long someone thinks about [a] problem is a really good proxy of how humans behave."
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
Finally, an AI that can drive a digital car as a goat.
Google’s “Genie” could be used to create a wide range of interactive environments for more than just games.