Multifunction radar systems have evolved to perform a host of tasks from surveillance to target tracking, realising complex electronic support measures with high precision. At the heart of these ...

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

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 ...

Software-defined ISP replaces fixed hardware with neural networks, promising real-time image quality gains and over-the-air ...

Naqi’s planned acquisition of Wisear accelerates Naqi’s efforts towards commercialization and to establish a global standard for non-invasive neural interfaces. This acquisition marks a defining ...

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 ...

Long-term and precise intracellular signal detection is critical for advancing our understanding of brain diseases and developing effective diagnostic tools. A breakthrough method has been introduced ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A research team has made a major discovery by designing molecules that could revolutionize computing. A research team at University of Limerick has made a major discovery by designing molecules that ...

AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...