Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Yet when researchers examine how individuals are drawn in, influenced, and ultimately controlled, clear similarities begin to emerge. Both rely on subtle, psychologically sophisticated methods that ...

_____________________________________________________________________________________________________ __________________________________________________________________________________________________ ...

When the Mac arrived in 1984, it introduced a new way to use computers—visual, intuitive, and accessible. On Apple's 50th, we look back in awe at the entire line.

A computer language created to spot errors in mathematical theorems has uncovered a fundamental error in a widely cited physics paper for the first time. The ...

Early in the Covid-19 pandemic, the governor of New Jersey made an unusual admission: He’d run out of COBOL developers. The state’s unemployment insurance systems were written in the 60-year-old ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

The course aims at students acquiring a basic linguistic conceptual apparatus and developing a basic understanding of the analysis of language structures with examples taken from typologically ...

Learning a new language used to mean thick textbooks, awkward classroom drills, and the inevitable moment when you realized you’d memorized vocabulary but still couldn’t order lunch. Modern language ...

What would it mean to simulate a human brain? Today’s most powerful computing systems now contain enough computational firepower to run simulations of billions of neurons, comparable to the ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

Top AI researchers like Fei-Fei Li and Yann LeCun are thinking about AI beyond LLMs. At World Labs, Li is focused on building world models. LeCun is building them at his new startup. World models ...