Beyond Minds: Rethinking Social Robotics
A new perspective argues that truly social robots require moving past modeling internal states and focusing on collaborative meaning-making through interaction.
Science
Decoding Life’s Logic: AI Explains Cellular Behavior
Researchers are developing artificial intelligence systems capable of constructing and validating mechanistic explanations for how virtual cells function.
The Art of Subtraction: How AI Writing Mirrors Found Poetry
A new framework reinterprets AI-assisted writing not as generation, but as a curated process of ‘subtractive authorship’ akin to blackout poetry.
Can AI Predict Scientific Experiments?
![A research workflow integrating large language model predictions into experimental design demonstrably accelerates scientific discovery by prioritizing high-potential experiments-identified through [latex]LLM[/latex]-based outcome forecasting-and preemptively filtering resource-intensive investigations unlikely to yield significant results, thereby optimizing the allocation of empirical validation efforts.](https://arxiv.org/html/2604.10718v1/x2.png)
A new benchmark reveals the surprising limitations of large language models when it comes to forecasting the results of real-world scientific studies.
Reading Between the Lines: Robots Learn to Decode Human Interaction
New research details a framework enabling robots to better understand the complex interplay of intent and emotion in human social dynamics.
Can AI Truly Do Science? A New Benchmark Puts Problem-Solving to the Test
Researchers have unveiled a rigorous evaluation framework designed to assess the scientific reasoning capabilities of artificial intelligence agents.
Robots That Feel: Bridging the Perception Gap with Multimodal Learning
A new framework combines vision, touch, and force sensing to enable robots to learn complex manipulation skills with human-like adaptability.
Beyond Black Boxes: Governing AI in Scientific Discovery
A new framework aims to make AI a transparent and accountable partner in research, focusing on the entire workflow rather than just the results.
Let the Agents Explore: AI Teams Tackle Cosmic Mysteries
A new approach uses collaborative artificial intelligence to accelerate research in astrophysics, pushing the boundaries of cosmological understanding.
Can AI Truly Do Biology?
A new benchmark reveals that while large language models are improving, significant challenges remain in automating complex biological research tasks.