This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

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~ ...

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.

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.

Reinforcement learning (RL) has become central to advancing Large Language ... thus ensuring a more consistent gradient signal. The “Token-level Policy Gradient Loss” offers a refined loss calculation ...

Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki-shi, Kanagawa-ken 214-8571, Japan ...