Machine learning
Researchers at the University of Osnabruck, Germany, have made a significant discovery in the field of machine learning, revealing that human brain activity aligns with large language models (LLMs) in understanding complex visual information extracted from natural scenes. The study found that LLM embeddings of scene captions can successfully characterize
Machine learning
Research conducted by scientists at the Xinjiang Institute of Engineering in Urumqi, People's Republic of China, has led to the development of MedAlmighty, a knowledge distillation-based framework designed to improve disease diagnosis performance in medical imaging tasks. By leveraging the strengths of both large and small models, MedAlmighty
Machine learning
Chronic low back pain is a global health issue with significant socioeconomic burdens, affecting millions of people worldwide. Researchers at Griffith University have made a breakthrough in developing an automated method for segmenting and analyzing lumbar paraspinal muscles (LPM) using artificial intelligence. This innovative approach has the potential to improve
Artificial intelligence
The K-12 makerspace materials market has experienced significant growth, with the market expanding from $1.02 billion in 2024 to an anticipated $1.1 billion in 2025, driven by increased parental demand, sustainability focus, regional market expansion, private funding, and curriculum integration. Looking forward, the market is expected to swell
Artificial intelligence
Artificial intelligence (AI) has revolutionized the field of medicine by providing accurate and rapid diagnosis of various diseases. A recent study conducted by researchers at Boston University has utilized AI to develop predictive models for differentiating COVID-19 from adenoviral respiratory infections using tongue image analysis. The study aimed to improve
Artificial intelligence
As we move beyond the confines of research labs, robotics and AI are becoming increasingly integral to tackling some of the world's most pressing real-world challenges. From reimagining industrial automation, water management, and farming to transforming healthcare, transport, and digital workflows, deeptech startups are pioneering solutions that blend
Artificial intelligence
Virginia Tech researchers, led by Professor Myounghoon "Philart" Jeon, have been awarded a grant worth more than $500,000 from the National Science Foundation to expand their innovative robot theater program, which combines robotics, arts, and performance-based learning for children. The program, launched in 2016, has been refining
Machine learning
Robotic cell microinjection systems have revolutionized the field of life sciences by enabling the precise injection of biological cells. However, detecting cells and microinjector tips in real-time has proven to be a significant challenge due to their transparency and varying sizes. Researchers from the School of Automation have proposed a
Multinational corporations
Comau, a multinational company based in Songjiang, Shanghai, has launched its new collaborative robot series, MyCo, designed to meet the global demand for versatile, safe, and easy-to-use collaborative automation. The MyCo robot is designed for key industries such as warehousing, internal logistics, packaging, arc welding, and light assembly. With a
Artificial intelligence
Uganda is struggling with an unemployment crisis, with a growing labour force and a rising number of unemployed individuals. The country is facing a perfect storm, with the emergence of artificial intelligence (AI) and robotics threatening to deepen the challenge. The World Bank estimates that the total labour force will
Artificial intelligence
A team of researchers from the University of Freiburg Medical Center has developed a new deep learning approach for electroencephalogram (EEG) decoding, overcoming the limitations of traditional methods that are often trained to solve only one specific task. The new method, called EEG-CLIP, uses a contrastive learning framework to align
Machine learning
Research from College of Mechanical and Electronic Engineering in Qingdao, People's Republic of China has proposed a novel adaptive optimal clearance compensation tracking control method for dynamic manipulator systems with joint clearance. The method utilizes an adaptive dynamic programming (ADP) approach and a performance index function to compute
