Machine-learning methods are gaining traction in the design of aqueous zinc-ion battery (AZIB) cathodes, yet they remain hampered by the inefficiency and high cost of ...
AI Asset Setup helps engineering and operations teams build more reliable, structured asset data, giving them greater confidence in maintenance decisions and long-term capital planning. 4.7.2026 ...
Conventional computational modeling of human body and tissue relies on time-consuming reconstruction from medical images. Instead, generative artificial intelligence synthesizes novel samples with few ...
Abstract: This study presents a data-driven framework integrating sensitivity analysis with hybrid multi-objective optimization to improve both the physical performance and design efficiency of ...
Abstract: Shape reconstruction from measured far-field data is a long-standing problem. It has a range of applications in a number of different areas, from radar to medical applications. Typically, ...
Finance Minister Nirmala Sitharaman said the changes are intended to make the framework more efficient and effective, with a focus on reducing delays and maximising value for stakeholders. During ...
As enterprises rush to integrate artificial intelligence‑driven identity and verification solutions, it is tempting to be swept up in their operational elegance and apparent efficiency. But as I have ...
Multimodal Large Language Models (MLLMs) have achieved remarkable advances by integrating text, image, and audio understanding within a unified architecture. However, existing distributed training ...
In the rapidly evolving field of precision oncology, systematically identifying and prioritizing actionable drug targets remains a critical and persistent challenge. The complexity and heterogeneity ...
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