Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...

Learn about Robert F. Engle III, a Nobel laureate credited with developing the ARCH model for analyzing financial market ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Abstract: Model Predictive Control has emerged as a popular tool for robots to generate complex motions. However, the real-time requirement has limited the use of hard constraints and large preview ...

While generative AI has helped unlock creativity, agentic AI is now unlocking autonomy. However, the real transformation lies not in the technology, but in how enterprises design for it. As ...

⚠️ EXPERIMENTAL PROTOTYPE A research project testing if a background search process (MCTS) can steer a Mamba model's hidden states in real-time without stopping generation. System 1 Backbone A ...

Abstract: This work presents an unsupervised learning-based approach to approximate the controller of the Lyapunov-based Model Predictive Control (MPC) for a class of continuous-time nonlinear systems ...

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...

A few weeks ago, my ears perked up when a gaggle of middle school volleyball players in my car were talking about the teachers they don’t like; I have an unfortunate appetite for tweenage gossip, and ...