In her first six months, Donald Trump’s second agriculture secretary has altered the course of the U.S. Department of ...

It’s an interesting study, to be sure — if only the headlines actually described it. Turns out, only about 6 percent of the ...

If you ever been curious about how to unlock powerful game development secrets and take your indie projects from zero to hero, then you definitely need to ...

INDIANAPOLIS — The Vision Zero Task Force is one step closer to making sure Indianapolis streets are safer for pedestrians and cyclists. On Wednesday, the task force reviewed and discussed the ...

Uncertainty is a constant. This isn’t an argument against planning. It’s a call to rethink what planning is for.

The City of Indianapolis’s Vision Zero Task Force unveiled a lofty new strategy that aims to eliminate traffic fatalities and injuries by 2035.

Robotic task planning using temporal logic specifications has emerged as a pivotal research area that integrates formal methods with the dynamic complexities of multi-robot systems.

The Indianapolis Vision Zero Task Force has unveiled a draft of its Action Plan to reduce traffic fatalities to zero by 2035, and is working with a consultant to finalize the plan.

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.