Researchers have developed a new AI model called ADAPT for controlling heating, ventilation, and air conditioning (HVAC) systems in buildings. The mod...
Researchers have developed a method for creating educational videos using AI that incorporates two levels of review. The first level involves educator...
Researchers have proposed a new framework called bipartite graphical causal models (BGCMs) for representing complex causal relationships in systems wi...
Researchers have proposed a new approach to data governance in lakehouse platforms, focusing on the 'spec-delta' as the unit of change. This concept t...
Researchers have proposed SAPO (Single-Rollout Autoregressive Policy Optimization), a new framework for agentic reinforcement learning that addresses ...
Researchers have developed PolicyGuide, a system to ensure that large language model (LLM) agents comply with organizational policies. This is achieve...
Researchers have proposed a new system called EnvHarness to create dynamic environments for AI agents. This system is designed to adapt to an agent's ...
Researchers have developed a new testing framework called TESTNAV to identify vulnerabilities in deep learning models. The framework uses a Pareto-gui...
Researchers have developed a new domain-specific language called Axon that allows for the creation of language models that can run on multiple framewo...
Researchers from the University of Freiburg and the Max Planck Institute for Intelligent Systems have proposed an algorithm called EXIMO to efficientl...
A new platform called Brain Researcher has been developed to improve the rigor of artificial intelligence (AI) in scientific research, specifically in...
Researchers have developed a brain-like control algorithm that uses spike-based dynamics to make decisions in uncertain environments. The algorithm co...