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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

AI’s Blind Spot: Machines Fail to Capture the Full Bloom of Human Experience

A new study finds that artificial intelligence, even with advanced training, cannot represent human concepts grounded in sensory and motor experiences, such as “flower,” with the same richness as humans do. AI language models excel at abstract terms but fall short when concepts require multisensory and embodied understanding.

5 Jun 2025

Viam Brings AI-Driven Automation To Yacht Manufacturing With Viking

Viam has partnered with Viking Yachts to automate the labor-intensive fiberglass sanding process in yacht manufacturing using adaptive robotics. This collaboration aims to improve efficiency, consistency, and worker safety, signaling a major step forward in marine industry automation.

4 Jun 2025

Germany Launches Landmark AI Graduate Center to Train Tomorrow’s Innovators

Karlsruhe Institute of Technology (KIT) and the universities of Stuttgart and Tübingen have launched the LGZ, a state graduate center in Heilbronn, Germany, dedicated to applied artificial intelligence. The center will focus on pioneering AI-related fields such as chip design, robotics, and cybersecurity, aiming to train top doctoral talent and facilitate knowledge transfer from academia to industry.

3 Jun 2025

Clustered Reinforcement Learning Transforms How AI Explores And Learns

Clustered Reinforcement Learning (CRL) gives AI a smarter, more human-like way to learn by grouping similar situations into clusters and rewarding both exploration and proven success. This approach enables faster, safer, and more efficient learning, outperforming existing methods in robotics and gaming benchmarks.

3 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

AI Breakthrough Empowers Autonomous Systems to Make Safer Decisions by Uncovering True Causality

Researchers from Nanjing University and Carnegie Mellon University have developed a new AI method that improves offline reinforcement learning by focusing on true cause-and-effect relationships in historical data. This breakthrough enables autonomous systems, like driverless cars and healthcare AI, to make safer and more accurate decisions without real-time interaction.

28 Apr 2025

Machine Learning Unlocks Record-Breaking Force in Light-Responsive Crystals

Researchers at Waseda University used machine learning to optimize the molecular design and experimental conditions of photo-actuated organic crystals, dramatically increasing their mechanical output. Their approach achieved up to 3.7 times greater blocking force and was 73 times more efficient than traditional methods.

16 Apr 2025

AI Gives Robots Human-Like Perception and Planning Skills for High-Stakes Missions

Johns Hopkins APL researchers are advancing robotic perception with AI-powered Full Scene Extraction, enabling autonomous agents to understand complex environments and reason like humans. This breakthrough holds promise for high-risk missions like search and rescue or military operations.

3 Apr 2025

AI Robot Masters Coffee-Making, Paving the Way for Smarter Machines

Researchers at the University of Edinburgh have developed an AI-powered robotic arm that can prepare coffee in a busy kitchen, showcasing human-like adaptability. The breakthrough combines AI, sensitive sensors, and refined motor skills, enabling the robot to navigate unpredictable environments and respond dynamically to real-world interactions.

19 Mar 2025

inait and Microsoft Join Forces to Revolutionize AI with Digital Brain Technology

inait partners with Microsoft to scale its digital brain AI, leveraging neuroscience-driven intelligence for fintech and robotics transformation.

18 Mar 2025

AI-Powered Digital Twins Can Now Think, Learn, and Act in Real Time

Scientists have developed an AI-powered Intelligent Acting Digital Twin (IADT) that can autonomously control real-world machines in real-time, marking a shift from passive monitoring to active decision-making.

17 Mar 2025

AI Tracks Students' Eyes to Personalize Math Learning and Boost Performance

Researchers from TUM and the University of Cologne have developed an AI-powered system that uses webcam-based eye tracking to analyze how students approach math problems and tailor learning materials accordingly. This affordable technology allows teachers to provide individualized math support to more students simultaneously.

12 Mar 2025

AI-Powered Labs of the Future Will Supercharge Scientific Breakthroughs

Scientists at ORNL and leading institutions have mapped a vision for AI-driven autonomous research labs, aiming to revolutionize scientific discovery through automation and interconnected systems.

26 Feb 2025

Brain-Inspired BIG Framework Revolutionizes Autonomous Navigation with Smarter Exploration

Researchers have developed the BIG framework, a brain-inspired navigation system that enhances efficiency and reduces computational demands for autonomous exploration in complex environments.

24 Feb 2025

Smarter Fins: AI Optimizes Biohybrid Rays for Peak Efficiency

Researchers at Harvard SEAS and NTT Research used machine-learning-directed optimization (ML-DO) to design biohybrid mini-rays that swim twice as efficiently as conventional biomimetic models, marking a breakthrough in biohybrid robotics.

16 Feb 2025

Torque Clustering Revolutionizes AI by Mimicking Natural Intelligence

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.

11 Feb 2025

AI and Automation Transform Catalyst Discovery, But Humans Remain Crucial

Self-driving laboratories (SDLs) integrate AI and automation to accelerate catalyst discovery, but human scientists remain essential for guiding AI-driven experiment planning. Instead of full automation, breakthroughs will come from redesigning experiments, using proxy tests, and keeping humans in the loop.