Daniela Rus on humanoids, liquid networks, and academia’s essential role in helping them come to pass.

Interacting with a contemporary LLM-based conversational agent can create an illusion of being in the presence of a thinking creature. Yet, in their very nature, such systems are fundamentally not like us.

A Confucian cross-cultural exploration of the ethical treatment of robots.

Today's powerful, robust SAT solvers have become primary tools for solving hard computational problems.

The Communications website, https://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish selected posts or excerpts.

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In an increasingly digital world, how do you teach students cursive handwriting?

Combining neural networks with symbolic representations might make them more versatile and dependable.

From the intersection of computational science and technological speculation, with boundaries limited only by our ability to imagine what could be.

Why is it taking so long for autonomous vehicles to hit the road?

A focus on causality is promising to help researchers overcome shortcomings that have bedeviled more traditional approaches to artificial intelligence.

The Communications website, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish selected posts or excerpts.

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Why we need an IT accident investigation board.

Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on benchmarks may seem to suggest otherwise. In particular, the recent neural language models have reported above 90% accuracy on the Winograd Schema Challenge (WSC), a ...

As robots begin to interact closely with humans, we need to build systems worthy of trust regarding the safety and quality of the interaction.

How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?

Tracking the historical events that lead to the interweaving of data and knowledge.

Tracing the triumphs and challenges of two decades of Semantic Web research and applications.

Giving robots soft, artificial skin would enable them to work more closely with people.

The last decade has seen major advancements in technology for the blind and visually impaired, but problems remain.