Abstract: From the seventh to the tenth century, historical Indian rural inscriptions are challenging but valuable materials for historical study. These texts, inscribed on sturdy materials like stone ...
Abstract: The Paper explores different aspects of deep learning techniques and neural networks in the fields of healthcare, time-series forecasting, agriculture, and other relevant sectors through ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
The deep sea, the planet’s most expansive and least understood ecosystem, remains largely unexplored. Yet while the deep sea may seem a dark and distant space, events underwater directly impact our ...
Orla Mining (TSX: OLA) is well on their way to having a third operating mine within their portfolio, with the company last night announcing that the South Railroad project in Nevada has advanced along ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
U.S. District Judge Eric Komitee dismissed the lawsuit against TMC The Metals Co. on Friday, finding that the company hadn’t deceived investors with statements that it could mine the minerals used in ...
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Green Minerals (GEM), a Norwegian deep-sea mining firm, said Wednesday it bought four bitcoin BTC $112,873.59 in its first purchase following Monday's announcement of a $1.2 billion treasury strategy ...
With the rapid development of deep mining and geothermal exploitation, the influence of high-temperature environment on the mechanical properties of rocks has become a core challenge for engineering ...
This new transition to more renewable forms of energy is increasing the demand for many critical minerals, which is in turn increasing the interest in the deep sea as a source of these minerals.