Neural Network News and Research

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A neural network is a computational model inspired by the structure and function of the human brain. It consists of interconnected artificial neurons that process and transmit information, enabling machine learning tasks such as pattern recognition, classification, and regression by learning from labeled data.

NdLinear Reinvents Neural Layers To Boost Accuracy And Slash Parameters In AI Models

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts across neural networks — from CNNs to Transformers. It outperforms standard layers in accuracy, efficiency, and scalability.

24 Mar 2025

New Memristor Mimics Brain Function to Prevent AI From Forgetting

Researchers from Jülich have developed a robust new memristor that mimics brain-like learning and memory. Its novel switching mechanism could overcome the “catastrophic forgetting” problem in neural networks.

21 Mar 2025

Researchers Cut AI Energy Use by 90% with Smarter, Leaner Models

Researchers at Saarland University and the German Research Center for Artificial Intelligence have developed techniques to reduce AI energy consumption by up to 90%, making AI models smaller, more efficient, and more accessible to businesses. Their approach, showcased at Hannover Messe, aims to revolutionize sustainable AI.

19 Mar 2025

AI-Powered Vision System Enables Safe Autonomous Aircraft Landings in Emergencies

Researchers have developed a monocular vision-based system that enables autonomous aircraft to identify and land safely in unknown environments, improving emergency response and flight safety.

18 Mar 2025

AI Decodes Neutron Star Mergers in Seconds, Transforming Gravitational Wave Astronomy

A new neural network called DINGO-BNS analyzes gravitational waves from neutron star mergers thousands of times faster and more accurately than traditional methods, enabling near-instant alerts for telescopes to capture critical signals. This breakthrough could revolutionize multi-messenger astronomy and our understanding of extreme physics.

12 Mar 2025

Los Alamos AI Breakthrough Neutralizes Adversarial Attacks and Restores Trust in Neural Networks

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11 Mar 2025

Meet DIDACT: The AI System That Learns and Improves Scientific Computing Daily

Researchers at Jefferson Lab developed an AI-based system, DIDACT, to optimize high-performance computing clusters by continually learning and selecting the best-performing model daily, reducing system downtime and costs.

3 Mar 2025

AI Rewrites Social Media Posts but Subtly Changes Their Emotional Tone

Large language models subtly shift the sentiment of text they rephrase, making content more neutral and altering conclusions drawn from sentiment-based research.

25 Feb 2025

AI Model Tracks Brain Aging Speed to Predict Cognitive Decline

Researchers at USC have developed a groundbreaking AI model that measures the speed of brain aging using MRI scans. This tool could revolutionize early detection, prevention, and treatment of cognitive decline and dementia.

24 Feb 2025

AI Breakthrough: Synaptic Device Array Achieves Human-Like Visual Processing

Researchers have developed a 28×28 synaptic device array that mimics the human visual system, achieving 96.5% digit recognition accuracy and paving the way for advanced neuromorphic artificial vision.

18 Feb 2025

AI Model Deciphers Hidden Brain Patterns Across Individuals

Researchers developed MARBLE, a geometric deep learning method that identifies shared brain activity patterns across different individuals and experimental conditions, advancing our understanding of neural computations.

17 Feb 2025

MIT’s New AI Compiler Speeds Up Machine Learning by 30x Using Data Redundancies

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in data, significantly reducing computational costs and energy use.

3 Feb 2025

Explainable AI Boosts Wind Power Forecasting for Smarter Energy Grids

Researchers at EPFL's WiRE Lab have integrated explainable AI (XAI) into wind power forecasting models, improving transparency and reliability in predicting wind energy generation. Their study shows that XAI can identify key input variables, reducing uncertainty and making wind power more competitive in the energy market.

29 Jan 2025

AI Transforms Fuel Cell Materials Discovery, Boosting Efficiency and Innovation

AI is revolutionizing fuel cell research by accelerating material discovery, optimizing system parameters, and overcoming traditional trial-and-error limitations.

28 Jan 2025

AI Struggles Where Rats Excel: A New Look at Vision and Intelligence

Rats outperform artificial neural networks in object recognition, using superior generalization strategies that remain stable across transformations.

28 Jan 2025

Embodied AI Model Learns Like a Toddler, Revealing Secrets of Cognitive Development

Researchers at OIST have developed an embodied intelligence model that mimics how children learn to generalize by combining sensory inputs and language, offering insights into cognitive development and AI transparency.

22 Jan 2025

Predicting the Unpredictable: The New Era of Reservoir Computing

Researchers introduced a novel reservoir computing framework with a generalized readout, leveraging higher-order nonlinearities to enhance accuracy and robustness in predicting chaotic systems.

16 Jan 2025

AI Unlocks Catalytic Secrets with Infrared Spectroscopy

Research integrates infrared spectroscopy with machine learning to map spectroscopic fingerprints to atomistic structures, enabling precise monitoring of C–C coupling processes on catalytic surfaces. The model demonstrates broad applicability, including on doped Cu surfaces, advancing AI-driven chemical reaction insights.

16 Jan 2025

Researchers Use AI to Craft Drug-Responsive Proteins

Researchers have used a groundbreaking geometric deep learning method, MaSIF, to design proteins that bind specifically to drug-induced surfaces, paving the way for innovative therapies in synthetic biology and disease treatment.

15 Jan 2025

Harnessing AI to Decode and Combat Harmful Algal Blooms

Researchers developed an explainable AI model to predict harmful algal blooms, uncovering key environmental drivers and offering scalable solutions for data-scarce regions.

15 Jan 2025