Artificial intelligence
NVIDIA has announced the Jetson AGX Thor developer kit and production modules, setting a new benchmark for intelligent machines. Designed to power millions of robots across industries, Jetson Thor combines unmatched AI performance, energy efficiency, and multi-model generative AI support. This innovation has significant implications for various sectors, including manufacturing,
Artificial intelligence
Researchers have developed an AI-based framework, MaskHybrid, that enhances the accuracy and efficiency of anatomical structure recognition and segmentation in abdominal ultrasonography. The framework uses a hybrid architecture combining mamba-transformer and deep neural networks (DNNs) to capture long-range spatial dependencies and contextual information. The study used a private dataset of
Robotics
The service robotics market is poised to experience significant growth, driven by increasing investments in robotics technology research and development, as well as a growing emphasis on automation across various sectors. According to a recent report by SkyQuest Technology Consulting, the market was valued at USD 36.83 Billion in
Artificial intelligence
Apera AI, the leader in 4D Vision for industrial robotic automation, has been honored with the 2025 Frost & Sullivan Technology Innovation Leadership Award for the global robotic automation software industry. Frost & Sullivan's rigorous analytical process recognized Apera AI's groundbreaking advancements in 4D vision-guided robotics,
Artificial intelligence
A new study published by researchers from Virginia Polytechnic Institute and State University (Virginia Tech) reveals a 12-week afterschool program designed to promote science, technology, engineering, and mathematics (STEM) education for elementary students using social robots. The program, which incorporates art elements (STEAM), was found to effectively maintain children'
Management consultants
The service robotics market is poised to experience significant growth in the long run, driven by the high demand for robotic automation across various verticals. According to a report by SkyQuest Technology Consulting, the market was valued at USD 36.83 Billion in 2024 and is expected to reach USD
Artificial intelligence
Ghana's education system is set for a major overhaul with the introduction of the Basic Science, Technology, Engineering and Mathematics (STEM) project, which aims to integrate Artificial Intelligence, Robotics, Coding, and Electronics into the basic school curriculum. The project, launched in Sunyani, promises to equip Ghanaian children with
Machine learning
Research in China has made significant advancements in crop breeding with the introduction of the Breeding 5.0 framework, leveraging artificial intelligence (AI) and robotics to improve crop yields and resilience to environmental challenges. Investigators have developed a new system that decodes the architecture and interactions of germplasm, enabling predictive
Artificial intelligence
Tanzanian researchers have made a groundbreaking discovery in the fight against common bean diseases, utilizing artificial intelligence to develop an early detection system. The Vision Transformer (ViT)-based deep learning model, enhanced with adversarial training, has proven to be highly effective in detecting bean rust and bean anthracnose under real-world
Machine learning
Researchers at the Department of Electrical and Communication Engineering have developed a novel image denoising model, combining Improved Convolutional Neural Network (ICNN) with the Self-Improved Orca Predation Algorithm (SI-OPA), to overcome noise distortions in medical images. The proposed model demonstrates superior noise suppression, achieving 94% accuracy, 0.91 Structural Similarity
Machine learning
A team of researchers at the University of Padua has proposed a novel approach to estimate human pose in real-time, even in the presence of occlusions, which is crucial for facilitating advanced Human-Robot Collaboration (HRC) applications. The approach combines information from RGB-D cameras and inertial measurement units, leveraging a multimodal
Machine learning
A recent study proposes a new method for predicting sentence severity in traffic accident cases using large language models (LLMs) in the Korean legal system. The researchers from Soonchunhyang University have developed a traffic accident criminal sentencing prediction method based on LLMs, called TRACS-LLM, which analyzes legal texts related to
