Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

MicroCloud Hologram ’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an end ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...

Delve into the world of crypto forensics companies and blockchain investigations, exploring techniques for tracking illicit ...