Researchers introduced a "wand mapping" method for controlling 6-DOF robotic manipulators, using a virtual rigid linkage between the user's hand and the robot's end-effector. This method, tested on 20 participants, showed comparable performance and user preference to traditional direct mapping methods, offering a promising alternative for enhanced control in medical and assistive applications.
By Muhammad Osama
19 Jun 2024
In a recent study published in the scientific journal Nature Sustainability, a team led by Moussa El Jarroudi from the University of Liège demonstrates how to overcome challenges and how artificial intelligence can be practically integrated into agricultural systems to meet the expanding needs of sustainable food production.
Creanord, a leading provider of network performance monitoring and service assurance solutions, and Lounea, a major Finnish broadband fiber connectivity provider and ICT specialist, today announced the successful completion of a joint research project focused on utilizing machine learning (ML) and artificial intelligence (AI) to predict network congestion before it occurs.
A new AI system that counts flowers on fruit trees is helping farmers to predict harvest sizes months in advance, making crop yields more efficient, sustainable, and profitable.
Researchers proposed a novel language-based navigation (LangNav) approach for vision-and-language navigation (VLN) by converting visual observations into natural language descriptions, utilizing language models to predict actions, and demonstrating improved performance in low-data and sim-to-real transfer scenarios.
By Muhammad Osama
18 Jun 2024
A study in Nature Communications details new autocharacterization tools utilizing computer vision to rapidly and accurately measure semiconductor properties, validated on high-throughput perovskite synthesis. This advancement promises to transform material discovery and optimization by drastically reducing characterization time.
By Muhammad Osama
17 Jun 2024
In a recent study published in the journal Nature Reviews Materials, an international group of researchers from EPFL developed RoboFood to monitor health, provide nutrients, and administer medications to people and animals in need.
In a study presented at ASM Microbe, Day Zero Diagnostics researchers revealed a revolutionary technique for antimicrobial susceptibility testing based on artificial intelligence (AI).
Flexiv, a global leader in general-purpose robotics solutions, is proud to announce the completion of its latest successful installation, an automated ironing system for car seat manufacturing.
Primech Holdings Limited, an established technology-driven facilities services provider in the public and private sectors operating mainly in Singapore, is pleased to announce the launch of Primech AI Pte. Ltd. (“Primech AI”) as an operating subsidiary that will focus on creating robotic-based solutions catering to the vast demands for efficient and autonomous cleaning technology.
Castor, a leader in clinical trial technology solutions, today announced the launch of Castor CoPilot, an innovative human-in-the-loop AI tool designed to replace manual data re-entry and source data verification (SDV) processes in clinical trials.
Researchers from North Carolina State University developed a method that uses two-dimensional images taken by multiple cameras to improve the mapping of three-dimensional spaces by artificial intelligence (AI) programs.
Researchers from the New Jersey Institute of Technology developed a technique to train robotic exoskeletons using AI and computer simulations that can assist users in conserving energy when running, walking, and climbing stairs.
Researchers from Mount Sinai Hospital are transitioning clinical deterioration models from byte to bedside, which involves deploying and assessing a machine learning intervention aimed at improving clinical care and patient outcomes, The study was published in the journal Critical Care Medicine.
Johns Hopkins University researchers introduced DELFI, an AI-powered blood test for early lung cancer detection, in a study published in Cancer Discovery. By analyzing DNA fragmentation patterns, DELFI significantly outperformed traditional methods, promising to enhance screening rates and reduce lung cancer mortality.
By Muhammad Osama
14 Jun 2024