Artificial intelligence
Diligent Robotics has announced the launch of Moxi 2.0, its next-generation robot assistant built with NVIDIA AI and accelerated computing. The new platform is designed to expand autonomy and scale, leveraging three years of real-world deployment data from over 1.25 million deliveries in busy hospital environments. Moxi currently
Artificial intelligence
NVIDIA's CEO, Jensen Huang, announced the company's new partnership with the Department of Energy to develop advanced artificial intelligence and quantum computing capabilities at the national laboratory apparatus. This collaboration aims to bring scientists closer to stabilized qubits through NVIDIA's NVQLink architecture, which combines
Artificial intelligence
The global artificial intelligence in medical diagnostics market is expanding rapidly, driven by the growing incidence of chronic and infectious diseases. AI solutions enable early detection, accurate diagnosis, and tailored treatment by processing complex medical data and uncovering subtle patterns. The market is expected to grow at a CAGR of
Artificial intelligence
Nvidia, a leading artificial intelligence (AI) chip company, has announced plans to build seven new supercomputers for the United States Department of Energy (DOE). In a keynote address at the company's GTC event in Washington, DC, CEO Jensen Huang stated that the company has $500 billion in bookings
Algorithms
A new study published in the Journal of Management Studies challenges the conventional view of artificial intelligence (AI) as an independent entity within organizations. Researchers from the University of Ottawa argue that AI arises from the relations among human and algorithmic actors, rather than residing within algorithmic actors themselves. This
Artificial intelligence
Researchers from the Western Norway University of Applied Sciences have developed an efficient particle swarm optimization model for top-k high-utility itemset mining, which identifies valuable patterns within transactional data. The model, called TKU-PSO, outperforms existing algorithms in terms of speed and accuracy, achieving an overall accuracy of 99.8% compared
Artificial intelligence
Researchers from the Federal University of Ceara have developed a novel AI algorithm that combines advanced image processing with machine learning techniques to detect diabetic retinopathy with high accuracy. The algorithm, which utilizes classifiers such as SVM, decision tree, logistic regression, and kNN, was tested on 800 eye images and
Artificial intelligence
Yann LeCun, the chief AI scientist at Meta, has sounded the alarm on the burgeoning humanoid robot industry, stating that most companies focus on building hardware rather than developing the intelligence required to make robots useful. LeCun's warning came during the inaugural MIT Generative AI Impact Symposium, where
Artificial intelligence
Research has shown that heart failure (HF) is a leading cause of hospitalization and mortality worldwide, with significant management challenges due to its heterogeneity and frequent comorbidities. Despite advancements in treatment, HF poses significant burdens on healthcare, increased by the aging of populations and rising prevalence. Recent developments in artificial
Artificial intelligence
Researchers from Capital Medical University in Beijing have conducted a comprehensive study on the potential of artificial intelligence (AI) in preventing cardiovascular disease (CVD) in China. The study, published in Nature Reviews Cardiology, highlights the current challenges in implementing preventative strategies and identifies the core obstacles to achieving national goals
Artificial intelligence
Artificial intelligence has taken a significant leap forward with the development of a scalable machine learning solution for the ATLAS detector. Researchers from the University of Washington have created a tool called AthenaTriton that integrates the NVIDIA Triton Inference Server with the ATLAS software framework, Athena. This innovative solution enables
Artificial intelligence
Research conducted by Florida International University has presented an automated neural patent landscaping system that improves patent assessment and intellectual property context in a more efficient and effective manner. The system employs a minimal number of labeled examples, reducing the need for highly specialized knowledge and technical expertise. Funded by
