I Built a Self-Improving AI, and So Can You

These days, the frontier AI labs are all racing to build self-improving models. Some believe it’s the surest route to ...

Five-agent AI team could speed clinical trial design using real-world patient records

An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial ...
GitHub

HyST: A Source Transformation and Translation Tool for Hybrid Automaton Models:

HyST started during a 2014 Visiting Faculty Research Program visit by Taylor to AFRL, and is based on an initial project that provided a SpaceEx parser by Christopher Dillo and Sergiy Bogomolov. THIS ...
GitHub

DynareOBC: A toolkit for handling occasionally binding constraints with Dynare, by Tom Holden.

Please read the theory paper from here: https://github.com/tholden/dynareOBC/raw/master/TheoryPaperBody.pdf (Or here for citations: https://ideas.repec.org/p/zbw ...
Frontiers

Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions

In this paper, we present a novel means of control design for probabilistic movement primitives (ProMPs). Our proposed approach makes use of control barrier functions and control Lyapunov functions ...
Frontiers

EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking

Eye-trackers are widely used to study nervous system dynamics and neuropathology. Despite this broad utility, eye-tracking remains expensive, hardware-intensive, and proprietary, limiting its use to ...
PNAS

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Ordinary differential equations are a ubiquitous tool for modeling behaviors in science, such as gene regulation, biological rhythms, epidemics, and ecology. An important problem is to infer and ...