Upsampling method sharpens AI vision with up to 16 times less GPU memory
- Published
- Source
- TechXplore:Robotics
A collaborative research team from KAIST and various international institutions has made significant advancements in computer vision technology, enhancing artificial intelligence's ability to perceive its surroundings. This new technology improves GPU memory efficiency by up to 16 times, allowing AI systems to operate with minimal memory usage. The breakthrough, announced recently, is expected to play a crucial role in advancing the development of humanoid robots and on-device AI, potentially transforming how these technologies are integrated into everyday life. The innovation underscores the growing importance of efficient AI systems in various applications, from smartphones to robotics.
Original report
Upsampling method sharpens AI vision with up to 16 times less GPU memory
TechXplore:RoboticsThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
BioRobotics Laboratory, Korea University of Technology and Education
Korea, Republic of (South)
South Korean university research laboratory focusing on haptics, exoskeletons, rehabilitation robotics, and autonomous ground vehicles.
McMaster Manufacturing Research Institute
Canada
Hamilton, Ontario applied manufacturing research center at McMaster University; runs a 21,000 sq ft facility with seven research labs.
Robotics Education & Competition Foundation
United States
The REC Foundation is a US nonprofit that runs VEX-based robotics and drone competitions reaching 1.1 million students across 70 countries.
Collaborative Robotics
United States
Maker of Proxie, a swerve-drive autonomous mobile manipulator that moves materials alongside people without facility changes.
Massachusetts Technology Collaborative
United States
Massachusetts state agency fostering technology and robotics innovation through funding, partnerships, and the MassRobotics Accelerator.
Azalea Robotics
United States
Berkeley-based YC-backed startup building fully-mobile collaborative robots for autonomous airport baggage handling on ramps and in terminals.
Chengdu Humanoid Robot Innovation Center Co., Ltd. 成都人形机器人创新中心有限公司
China
Chengdu-registered humanoid robot R&D company behind the Gongga-1 humanoid, the open-source RW-02OP wheeled-biped platform and Raydiculous-1 planning software
High Performance Humanoid Technologies Lab (H2T), Karlsruhe Institute of Technology
Germany
KIT research chair in Karlsruhe led by Prof. Tamim Asfour, developer of the ARMAR humanoid robot family from ARMAR-I (2000) to the household robot ARMAR-7.
Hubei Humanoid Robot Innovation Center 湖北人形机器人创新中心
China
Wuhan public platform opened in June 2025 to train humanoid robots and collect embodied-AI data in 23 simulated scenes; led by a Hubei state tech investor.
Ortelio Ltd
United Kingdom
Ortelio Ltd is a UK cloud robotics research company founded in 2011 that develops AI platforms giving robots intelligence for service and healthcare tasks.
Parata Systems
United States
Durham, North Carolina pharmacy automation maker acquired by BD in 2022; builds robotic vial-filling and packaging systems.
Pensa Systems
United States
Austin-based AI retail shelf platform using autonomous drones and CV to detect stockouts; customers include J&J, AB InBev, and Circle K.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
