neural networks News
Latest articles and news about neural networks on AXL Media.
Latest Articles
- Nanophotonics Breakthrough Achieves 99.9% Accuracy in Structural Color Design via Novel Sampling Network
Published: Apr 8, 2026
Section: Research
Researchers from Tongji University and the National University of Singapore have developed a Mixture Probability Sampling Network to solve the complex inverse design challenges of...
- Chinese Academy of Sciences identifies sender and receiver subregions within brain’s default mode network to explain cognitive shifts
Published: Apr 8, 2026
Section: Research
A study led by the Institute of Psychology of the Chinese Academy of Sciences has uncovered a dual-functioning architecture within the brain's default mode network (DMN). By distin...
- Georgia Tech and Emory University Develop Label Free Deep UV Microscopy for Nondestructive T Cell Characterization and Subtyping
Published: Apr 3, 2026
Section: Research
A breakthrough imaging technique using deep ultraviolet light at 255 nanometers allows researchers to identify T cell states and subtypes without traditional fluorescent dyes. This...
- Physicist Ido Kanter Reveals Why AI Follows "More is Different" Rule While Traditional Physics Remains "More is the Same"
Published: Apr 3, 2026
Section: Research
New research from Bar-Ilan University challenges the idea that Artificial Intelligence gains power simply through scale. By applying a 50 year old physics philosophy to modern neur...
- New AI Neural Networks Predict Human Biological Age Using Routine Blood Markers and Gut Microbiota Species
Published: Mar 24, 2026
Section: Science & Tech
Researchers have developed two distinct gender-specific models capable of forecasting biological age with high accuracy by analyzing seven clinical blood markers and 45 gut bacteri...
- Dual Neural Networks Utilizing Blood Biomarkers and Gut Microbiota Forecast Human Biological Age with High Precision
Published: Mar 23, 2026
Section: Science & Tech
A new study published in Aging-US by a Russian research team has introduced two explainable neural network models for predicting biological age. By analyzing seven routine clinical...
- Jilin University Researchers Launch Physics-Informed Deep Learning Model For Global High-Precision Nuclear Charge Density Prediction
Published: Mar 21, 2026
Section: Science & Tech
A research team from Jilin University has developed a Deep Neural Network (DNN) capable of predicting nuclear charge density distributions with unprecedented accuracy across 1,014...
- New neuro-symbolic AI models cut energy consumption by 99 percent while tripling task accuracy
Published: Mar 21, 2026
Section: Science & Tech
Researchers at Tufts University have developed a proof-of-concept AI system that integrates symbolic reasoning with neural networks to achieve massive reductions in power usage. Th...
- Japanese Researchers Develop Digital Twin Brain Framework to Predict Individual Psychiatric Responses Through Connectome Mapping
Published: Mar 18, 2026
Section: Health
A collaborative team from Tohoku University and the National Center of Neurology and Psychiatry has created a digital twin system that translates brain connectomes into precise beh...
- MIT Neuroscientists Resolve Cocktail Party Problem Using Computational Model of Human Auditory Attention
Published: Mar 17, 2026
Section: Science & Tech
Researchers at MIT have identified a specific neural mechanism that allows the human brain to isolate a single voice within a crowded environment. By using a computational model th...
- Inside the Black Box: MIT Researchers Develop Method to Expose and ‘Steer’ Hidden Personas in Large Language Models
Published: Feb 26, 2026
Section: Science & Tech
A research team from MIT and UC San Diego has developed a groundbreaking method to identify and manipulate abstract concepts—such as moods, biases, and personalities—hidden within...
- New AI Model Breakthrough Enables Real-Time Autonomous Navigation for Deep Space Missions
Published: Feb 21, 2026
Section: Innovations in Space
Researchers have unveiled a sophisticated AI model designed to push the boundaries of deep space exploration by enabling spacecraft to make autonomous decisions without Earth-based...