Computer Science

Common sense has been viewed as one of the hardest challenges in AI. That said, ChatGPT4 has acquired what some believe is an impressive sense of humanity. How is this possible? Listen to this week’s “The Joy of Why” with co-host Steven Strogatz.

Neural networks and other forms of machine learning ultimately learn by trial and error, one improvement at a time.

After decades of uncertainty, a motley team of programmers has proved precisely how complicated simple computer programs can get.

Computational complexity theorists have discovered a surprising new way to understand what makes certain problems hard.

Computer scientist Lance Fortnow writes that by embracing the computations that surround us, we can begin to understand and tame our seemingly random world.

Researchers have proved that secure quantum encryption is possible in a world without hard problems.

Optical neural networks, which use photons instead of electrons, have advantages over traditional systems. They also face major obstacles.

By making use of randomness, a team has created a simple algorithm for estimating large numbers of distinct objects in a stream of data.

Researchers are drawing on ideas from game theory to improve large language models and make them more consistent.