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Machine learning identifies brain patterns that predict antidepressant success

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

How Recommender Systems Like Google Discover May Work

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...
Semiconductor Engineering

Addressing Critical Tradeoffs In NPU Design

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

It’s pointless asking AI to ‘explain’ itself: But here’s an effective way we humans could hold it accountable

As governments push for ‘explainable’ AI, the realization must sink in that this approach won’t get us anywhere. But that ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
IEEE

Matrix-Based Representations and Gradient-Free Algorithms for Neural Network Training

Abstract: This paper presents a compact, matrix-based representation of neural networks. Although neural networks are often understood pictorially as interconnected neurons, they are fundamentally ...
IEEE

Research on Avalanche Effect of Neural Network Data Processing Algorithm

Abstract: The avalanche effect of feedforward neural networks used for data encryption is studied in this paper. The selection regulation of the key elements of the neural network encryption algorithm ...