AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, journal editors struggled to control the quantity and quality of submitted work ...

ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

For this test, we’re comparing the default models that both OpenAI and Google present to users who don’t pay for a regular ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

The algorithms, cameras and sensors allow drones to navigate in space, while the built-in neural network analyzes the video stream and detects people ...