Machine learning
The patent 12353206, titled "Vehicle Rider Satisfaction Promoting Systems Based on Adjusting Operating Parameters of the Vehicle," has been granted to Strong Force Tp Portfolio 2022 LLC. This invention, filed on October 8, 2023, and published online on July 8, 2025, describes a system that uses artificial intelligence
Machine learning
A recent research study has made a breakthrough in detecting thermal faults in high-voltage isolating switches, a critical component in the power grid. The study, conducted by a team of researchers at Kunming University in China, employed a novel approach that combines natural language processing, knowledge graph technology, and machine
Machine learning
A team of inventors, including Chakra, Al; Chung, David-Jude; Duzenli, Emre; and Fazzone, Davide, has filed a patent application for a system, method, and computer program product to detect and mitigate inappropriate behavior in virtual environments. The system uses natural language processing to analyze discussions between users and calculate a
Machine learning
Artificial intelligence is transforming the landscape of men's health by improving diagnostic accuracy, personalizing treatment strategies, and enhancing clinical efficiency. A recent study published in the International Journal of Impotence Research explores the applications and ethical considerations of AI technologies in key areas of men's health,
Artificial intelligence
Researchers at the Institute of Artificial Intelligence have made significant strides in applying computational linguistics to personality research, revealing hidden patterns and emotional states in digital language data. The study, published in Azyk i tekst, concludes that computational linguistics provides powerful tools for understanding language and human behavior, requiring careful
Machine learning
The cognitive media market has experienced rapid growth, driven by increasing demand for AI-based content generation, personalized media experience, and audience analytics in real-time. The market was valued at USD 1.70 billion in 2024 and is projected to reach USD 10.07 billion by 2032 at a compound annual
Machine learning
The artificial intelligence toolkit market is experiencing rapid growth due to increasing adoption of AI across various sectors, including healthcare, finance, retail, and manufacturing. The market is driven by the need for automated workflows, data-driven insights, and intelligent decision-making. Key players in the market include Google, Microsoft, IBM, and Amazon
Machine learning
The global market for Tensor Processing Units (TPUs) is expected to undergo substantial growth, driven by the increasing demand for high-performance computing solutions. TPUs, originally developed by Google, are specialized application-specific integrated circuits (ASICs) designed to accelerate tensor operations, which are the core of neural network training and inference. With
Artificial intelligence
As the private equity industry rapidly embraces artificial intelligence (AI), a common bottleneck hindering its full potential is the lack of structured and usable data. This is where Navatar's newly launched AI-powered CRM comes in, designed to capture and provide intelligence automatically, streamlining deal workflows and enabling firms
Artificial intelligence
The Silicon Valley Summit in Early June 2025 brought together over 300 startups, 4,300 participants, and corporate partners to explore cutting-edge ideas and collaborative networking. The summit highlighted the growing influence of Artificial Intelligence (AI) in various sectors, from healthcare and education to governance and finance. AI is transforming
Artificial intelligence
A new systematic review of the current state of Artificial Intelligence (AI) applications in early warning systems (EWS) for infectious disease surveillance has revealed promising tools to enhance crucial disease surveillance. The research, funded by the National Institute of General Medical Sciences, used Semantic Scholar to search for relevant studies
Machine learning
Researchers from the Beijing University of Chemical Technology have made significant strides in applying artificial intelligence (AI) to advance polymer science and engineering. The study, published in the Journal of Chemical Information and Modeling, explores the influence of polymer composition and sequence structure on determining the physical properties of polymers.
