When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

How can artificial intelligence (AI) help astronomers identify celestial objects in the night sky? This is what a recent ...

The University of Washington’s Allen School is tackling six “grand challenges” in computer science — from AI and education to ...

Climate change has become “that” topic – like evolution of species, plate tectonics, or AI – where the public has heard so ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, agent-based models (ABMs) proliferated across many fields, including economics ...

In the 1990s, climate scientists made bold forecasts about carbon, heat, and storms. Read what science predicted and what ...

What scientific knowledge is and is not presumed in legal reasoning, and what are the differences between what is and what is ...

Value-based care is changing the healthcare equation, rewarding providers for quality and real-world results rather than ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new opportunities for chipmakers, EDA companies, and IP vendors.

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...