Databases Evolved: How AI is Rewriting the Rules of Performance

A new approach to artificial intelligence is driving significant gains in database optimization by simultaneously developing both solutions and the methods used to evaluate them.

A new approach to artificial intelligence is driving significant gains in database optimization by simultaneously developing both solutions and the methods used to evaluate them.
Researchers have developed a gesture-based interface that allows users to seamlessly select objects for robotic manipulation, paving the way for more natural human-robot collaboration.
A new study unlocks the investigative challenges of agentic AI by meticulously analyzing the inner workings of the OpenClaw personal assistant.
A new approach empowers users to program robots using natural language and intuitive interactions, unlocking automation for those without specialized robotics expertise.

A new framework seeks to formalize the very structure of mathematics, opening pathways for AI to independently explore and expand mathematical knowledge.

Researchers have developed a new system that allows users to instruct domestic robots with simple, free-form sketches, bridging the gap between human intention and robotic action.
![Through iterative refinement guided by benchmark performance, a zero-shot program evolves into a robust causal estimator, demonstrating an ability to not only surpass initial generation but also achieve competitive results against human-engineered solutions, as evidenced by improvements in both root mean squared error [latex]RMSE[/latex] and empirical 90% interval coverage.](https://arxiv.org/html/2604.04274v1/x1.png)
A new framework, InferenceEvolve, uses the power of artificial intelligence to automatically discover and refine methods for determining cause and effect.

A new framework explores how ongoing human involvement is critical to shaping perceptions and fostering successful coexistence with robots in healthcare settings.

Researchers have developed an artificial intelligence capable of independently analyzing complex datasets and generating insightful visualizations without human guidance.
New research explores how different communication methods – from gestures to lights and sounds – help humans understand and predict the actions of robots sharing our spaces.