We study the dynamics of disentanglement of two qubits initially prepared in a Bell state and coupled at different sites to an Ising transverse field spin chain (ITF) playing the role of a dynamic spin environment. The initial state of the whole syst...
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly …
A class of stochastic vector-borne infectious disease models is derived and studied. The class type is determined by a general nonlinear incidence rate of the disease. The disease spreads in a highly random environment with variability from the disea...
Microbes thrive in diverse porous environments -- from soil and riverbeds to human lungs and cancer tissues -- spanning multiple scales and conditions. Short- to long-term fluctuations in local factors induce spatio-temporal heterogeneities, often le...
Departing from Larsen's concept of parameterized bisimilarity of processes with respect to interaction with environments, we start an exploration of its natural weakening: bisimilarity of unrestricted join interactions with environments. Parameterize...
# A daily Chronicle of AI Innovations August 22nd 2025: **Listen at** [**https://podcasts.apple.com/us/podcast/ai-daily-rundown-aug-22-2025-google-analyzes-geminis/id1684415169?i=1000723151588**](htt...
The technological transition of MacBook charging solutions from MagSafe to USB-C, followed by a return to MagSafe 3, encapsulates the dynamic interplay between technological advancement, environmental considerations, and economic factors. This study...
In this paper we present a Reinforcement Learning environment that leverages agent cooperation and communication, aimed at detection, learning and ultimately penalizing betrayal patterns that emerge in the behavior of self-interested agents. We provi...
In this paper we focus on the problem of learning an optimal policy for Active Visual Search (AVS) of objects in known indoor environments with an online setup. Our POMP method uses as input the current pose of an agent (e.g. a robot) and a RGB-D fra...
We present a statistical approach to assess the dust environment for a yet unknown comet (or when its parameters are known only with large uncertainty). This is of particular importance for missions such as ESA's Comet Interceptor mission to a dynami...
14 hours ago · Environment Canada's weather web site provides official weather warnings, current conditions, forecasts, and weather models, for public and marine areas in Canada. Canadian â¦
Points: 603 | Comments: 270 | Author: nijynot
Points: 917 | Comments: 329 | Author: madspindel
Tags: julia, anaconda, conda | Score: 49
Modern GPU applications, such as machine learning (ML), can only partially utilize GPUs, leading to GPU underutilization in cloud environments. Sharing GPUs across multiple applications from different tenants can improve resource utilization and cons...
Sep 21, 2018 · Administrative amendments to regulations under the Environmental Bill of Rights, 1993 (source: Environmental Registry) We have made administrative amendments to regulations 73/94 …
Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
There are numerous scenarios in which populations of cells migrate in crowded environments. Typical examples include wound healing, cancer growth and embryo development. In these crowded environments cells are able to interact with each other in a va...
Specifying a conda environment with `environment.yml` (⭐ 100)
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities (⭐ 3331)