Hosted on MSN

AI Researchers Are Confronting the Gap Between Neural Network Power and True Generalization

In 2026, neural networks are achieving unprecedented capabilities across industries, yet large-scale tests reveal persistent struggles with generalization. Researchers are exploring adaptive ...
Hosted on MSN

AI Research in 2026 Shifts from Scaling to Efficiency and Reliability

In 2026, AI research is moving beyond raw scaling to focus on efficiency, adaptability, and operational robustness. Advances in architectures, benchmarks, and conferences reflect a growing emphasis on ...
InfoWorld

Ease into Azure Kubernetes Application Network

Microsoft has simplified service mesh scaling and management with an ambient-based service network for AKS. Here’s how to get started. If you’re using Kubernetes, especially a managed version like ...
AlphaGalileo

MFCN-DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction

In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...
IEEE

Graph Neural Networks for Graphs With Heterophily: A Survey

Abstract: Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most GNNs rely on the homophily assumption ...
IEEE

Application of Graph Neural Networks on ECG data: A Systematic Literature Review

Abstract: Geometric Deep Learning is a modern approach to deep learning that focuses on the assessment of the structure and inherent symmetry of the data. How to best represent Electrocardiogram (ECG) ...
Frontiers

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks

Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct ...
Frontiers

Complex-valued brain networks for neurodegenerative disease diagnosis via component-aware feature fusion

Recent advancements in brain network analysis have greatly improved the diagnosis of neurodegenerative diseases. However, most existing studies rely on single-frequency EEG representations and ...
Science Daily

Cornell researchers build first ‘microwave brain’ on a chip

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...
SiliconANGLE

Palo Alto Networks announces Cortex Cloud Application Security Posture Management

Palo Alto Networks Inc. kicked off the annual Black Hat USA security conference in Las Vegas this week with today’s announcement of its Cortex Cloud Application Security Posture Management solution.