According to Heather Vescent, cybersecurity futurist at The Purple Tornado, a quantum computer that can crack widely used ...

Explaining how artificially intelligent (AI) neural networks (NNs) arrive at their conclusions—especially deep neural networks (DNNs)—is still a scientific challenge.

The exponential growth of big data has powered a multitude of technology innovations. Yet, it was the mass adoption of ...

The integration of generative artificial intelligence (GenAI) tools into higher education has sparked considerable discussion ...

Few jobs look more ripe for robotization than those of the guide dogs used by blind and sight-impaired people. While the ...

LLMs are widely used in crowd work. We also find that responses written with the help of LLMs are high-quality but more ...

Self-correction is one approach that could improve the responses generated by the large language models (LLMs) that power ...

According to Shattuck, CNI cyber events often coincide with geopolitical events such as elections and international ...

Artificial intelligence (AI) is not a panacea for effortlessly solving the planet’s environmental problems. AI still sparks ...

Answering SPJA queries under differential privacy (DP), including graph-pattern counting under node-DP as an important ...

In this article, we survey recent progress on designing algorithms with strong refutation guarantees for smoothed instances ...

After 40,000 years of making tools for computing and reasoning, it is time for Homo Ratiocinator to live up to its ...