Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Scientists use string theory to crack the code of natural networks

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

McKinsey and General Catalyst execs say the era of ‘learn once, work forever’ is over

Calacanis, General Catalyst's Taneja, and McKinsey's Sternfels discussed how AI is reshaping technology and the labor force.

How neuron groups team up to embed memories in context

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
MIT Technology Review

Deploying a hybrid approach to Web3 in the AI era

Against a backdrop of insatiable demand for compute, Web3 principles and technologies offer enterprises transparent, flexible ...
Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...