In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

In this paper we present a design methodology based on high-level synthesis that allows retargeting functional IPs in the form of C++ programs to technology optimized RTL implementations. We will ...

High-Level Synthesis (HLS) aims to further reduce design time by transforming C-based descriptions to RTL designs. In this paper, we introduce a new high-level, dataflow programming language called C~ ...

FILE - A sign marks the entrance to the federal Centers for Disease Control and Prevention (CDC) in Atlanta, on Oct. 8, 2013. (AP Photo/David Goldman, File) ...

Databricks calls its new approach Test-time Adaptive Optimization or TAO. “This method we're talking about uses some relatively lightweight reinforcement learning ... of Meta’s free AI models ...

With this transition information, the system can better estimate the states to assist the decision making." The new reinforcement learning framework Teng and his colleagues developed could soon open ...

Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen ...

Germinal centers are high-speed evolution machines ... which shed light on precise mechanisms shaping adaptive immunity, may have broader implications for vaccine design and immune therapies.

This paper aims to adaptively tune the MPC parameters for an optimal BTM system using reinforcement learning. To achieve this, the nonlinear MPC controller is linearized at nominal operating points ...

Abstract: This paper proposes a Learning-Enhanced Adaptive Decision-Making (LEAD ... To optimize the behavior model parameters, maximum entropy inverse reinforcement learning (IRL) is employed to ...

Climate-adaptive design is a revolutionary approach to architecture and ... Some systems even incorporate machine learning, improving response accuracy over time by analyzing past weather events. 2.