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Found 7 papers, 2 papers with code
Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)
Hence, this paper presents the concept of Adaptable CNC (ACNC) as an autonomous Machine Learning (ML)-aided mechanism crafted for the joint orchestration of computing and network resources, catering to dynamic and voluminous user requests with stringent requirements.
The Invisible Map: Visual-Inertial SLAM with Fiducial Markers for Smartphone-based Indoor Navigation
We present a system for creating building-scale, easily navigable 3D maps using mainstream smartphones.
Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications
The Metaverse is a new paradigm that aims to create a virtual environment consisting of numerous worlds, each of which will offer a different set of services.
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
We leverage this finding to study how human programmers interact with these tools, and develop an human-AI based software engineering workflow for building embedded systems.
Stable Object Reorientation using Contact Plane Registration
We present a system for accurately predicting stable orientations for diverse rigid objects.
Forecasting Future World Events with Neural Networks
We test language models on our forecasting task and find that performance is far below a human expert baseline.
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
Learning robotic manipulation tasks using reinforcement learning with sparse rewards is currently impractical due to the outrageous data requirements.
