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AI Fills Missing Traffic Data to Power Smarter Cities

A new review in Artificial Intelligence and Autonomous Systems outlines how AI methods can fill critical gaps in traffic data caused by sensor failures and communication dropouts. By classifying and comparing leading imputation techniques, researchers provide a roadmap to strengthen smart city traffic management.

27 Aug 2025

AI Transforms Inverse Lithography Technology To Overcome Semiconductor Manufacturing Bottlenecks

A Tsinghua University team reviewed the progress of inverse lithography technology (ILT) in semiconductor manufacturing, highlighting how artificial intelligence improves lithography modeling, mask optimization, and computational efficiency. The paper also discusses challenges in scalability, interpretability, and mask fabrication.

26 Aug 2025

AI Framework Learns Cellular Rules To Predict And Control Organ Growth

Harvard researchers have developed a computational framework that learns the genetic and physical “rules” guiding how cells self-organize into tissues and organs. Using automatic differentiation, the system models and predicts morphogenesis, offering a path toward engineering organs or controlling cell growth.

22 Aug 2025

AI Predicted Fusion Ignition Days Before Historic 2022 Breakthrough

Lawrence Livermore National Laboratory researchers used an AI-driven cognitive simulation model to successfully predict fusion ignition days before the historic Dec. 5, 2022 shot at the National Ignition Facility. Trained on 150,000 simulations, the model forecasted a 74% chance of surpassing energy breakeven.

22 Aug 2025

AI Tracks Tropical Waves To Boost Hurricane Forecast Accuracy

Researchers at the University of Miami developed an AI tool that can automatically track tropical easterly waves (TEWs) and distinguish them from the Intertropical Convergence Zone and the monsoon trough. This innovation improves hurricane forecasting accuracy and provides forecasters with real-time tracking data.

21 Aug 2025

AI-Powered Imaging Breaks Frame-Rate Barriers To Capture High-Speed 3D Motion

Researchers at Nanjing University of Science and Technology and Warsaw University of Technology developed DFAMFPP, a deep learning-enabled 3D imaging system that breaks sensor frame-rate limits. The method reconstructs multiple high-precision 3D frames from a single image, enabling ultrafast visualization of high-speed phenomena.

21 Aug 2025

AI Transforms Scientific Workflows With PegasusAI To Boost Discovery

Researchers from USC, UT, and partner universities are developing PegasusAI, a $5 million NSF-funded project that integrates AI into scientific workflow management, making data processing more intelligent, adaptive, and accessible. The system aims to democratize advanced computing across disciplines, from space science to public health.

19 Aug 2025

New AI Method Cleans Dirty Data Before Training And Boosts Model Accuracy

Researchers at Florida Atlantic University have developed an automated method to detect and remove mislabeled data before training machine learning models, significantly improving their reliability and performance. The approach uses L1-norm principal component analysis to identify outliers without manual tuning or assumptions.

17 Jun 2025

Brain-Inspired AI Design Adds a New Dimension to Smarter, Greener Neural Networks

Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically structured design could make AI systems more efficient, adaptive, and accessible while offering insights into human cognition.

17 Jun 2025

Aaron Courville Champions Collaborative AI To Solve Society’s Biggest Challenges

Aaron Courville, incoming director of IVADO and co-founder of Mila, champions an optimistic and pragmatic vision for artificial intelligence, emphasizing its potential to solve societal challenges. Rather than fearing AI, Courville advocates for responsible, collaborative development to maximize its benefits across fields from climate action to public policy.

28 May 2025

PNNL Scientists Build Trustworthy AI That Knows Its Limits in Materials Discovery

Researchers at Pacific Northwest National Laboratory have developed a method to measure how well AI models, specifically neural network potentials, are trained to predict material properties. The approach quantifies uncertainty to enhance model trust and identifies areas where additional training is required.

25 Apr 2025

Penn Engineers Unleash Programmable Photonic Chip That Trains AI at the Speed of Light

Penn Engineers have unveiled the first programmable chip capable of training nonlinear neural networks using only light, revolutionizing photonic AI. This innovation promises rapid, energy-efficient AI training and marks a significant step toward fully light-powered computing.

16 Apr 2025

AI-Powered Nanophotonics Revolutionizes Computing and Sensing for a Smarter Future

This paper reviews the convergence of artificial intelligence and nanophotonics, highlighting how optical neural networks and metasurfaces are revolutionizing fast, energy-efficient computing and advanced sensing. The authors analyze current challenges and future opportunities for integrating intelligent photonics into real-world AI technologies.

16 Apr 2025

AI Predicts Nuclear Reactor Failures 1,400 Times Faster With Virtual Sensors

Researchers at the University of Illinois Urbana-Champaign developed a deep-learning tool that acts as a virtual sensor, predicting critical conditions in nuclear reactors up to 1,400 times faster than traditional simulations. This AI-driven approach improves safety by enabling real-time system monitoring.

14 Apr 2025

New AI Method Boosts Accuracy By Learning From Incomplete Data

Researchers developed LR-GCN, an AI method that improves decision-making by identifying hidden patterns in incomplete data. It boosts predictive accuracy by up to 17%, making AI systems more reliable across real-world applications.

10 Apr 2025

AI Slashes Ocean Simulation Time While Preserving Accuracy

Researchers at Osaka Metropolitan University developed a machine learning-powered fluid simulation model that slashes computation time from 45 minutes to 3 minutes. Using graph neural networks, their model retains high accuracy across diverse fluid behaviors, aiding ocean energy and ship design.

3 Apr 2025

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