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 ...

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 ...

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 ...

If schools want to prepare young people for a future shaped by technology, they must act now to ensure that computer science is not a privilege for a few but a foundation for all. The time to begin is ...

Quantum computing promises extraordinary power, but that same power may expose new security weaknesses. Quantum computers are expected to deliver dramatic gains in processing speed and capability, ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Quantum computing will pose a serious threat to vehicle safety and federal agencies are searching for answers. At Rochester Institute of Technology, cybersecurity researchers are helping improve the ...