Scientists have achieved a breakthrough by enabling artificial intelligence to ‘feel’ surfaces using quantum science. This innovative system, detailed in Applied Optics, uses laser-based sensing and AI to analyze surface topography with remarkable accuracy, promising diverse applications in medicine, manufacturing, and beyond.
Results for: AI Applications
The global artificial intelligence (AI) market is projected to skyrocket from USD 757.58 billion in 2025 to an astonishing USD 3,680.47 billion by 2034, according to Precedence Research. This explosive growth is fueled by rapid technological advancements, increasing data availability, and a surging demand for automation across various industries. As businesses recognize the transformative potential of AI, investments in AI technologies are booming, driven by the promise of enhanced efficiency, reduced operational costs, and improved customer experiences.
Indian startups are focusing on building domain-specific generative AI applications, rather than competing directly with giants like ChatGPT, as a more viable path to monetization. By leveraging their expertise in specific sectors, they are creating valuable tools for businesses and making AI more accessible to diverse populations.
Nvidia and Microsoft have collaborated to develop an API that will allow developers to run AI-accelerated applications on RTX graphics cards. This move will pave the way for more powerful AI applications and the ability to run them on PCs that currently do not meet the requirements for Copilot+ PCs. The partnership also introduces retrieval-augmented generation (RAG) capabilities to the Copilot runtime, enhancing the AI model’s ability to provide helpful solutions. Additionally, Nvidia unveiled the RTX AI Toolkit, a developer suite that provides tools and SDKs for optimizing AI models for specific applications.