MicroCloud Hologram stock rises after unveiling quantum spectral filter tech

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 ...

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

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 ...
IEEE

Nonzero Bound on Fiedler Eigenvalue Causes Exponential Growth of H-Infinity Norm of Vehicular Platoon

Abstract: We consider platoons composed of identical vehicles and controlled in a distributed way, that is, each vehicle has its own onboard controller. The regulation errors in spacing to the ...

Deadly 'cancer-like' fungus with no treatment spreading rapidly across the country

Since the fungus was first detected in hospitals in 2016, when 52 infections were reported that year, cases have increased ...

Bitwise CIO: Bitcoin Futures Four-Year Cycle Is Being Replaced by a “10-Year Grind”

Fed rate-cut odds reportedly dropped to around 14% after Donald Trump praised tariffs as a source of US “wealth,” and crypto ...
IEEE

New Approaches for Network Topology Optimization Using Deep Reinforcement Learning and Graph Neural Network

Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...
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Exponential moving averages in deep learning explained

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...