How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

These inventions weren’t built in laboratories or classrooms. They started with simple observations, small frustrations, and curiosity. Using basic materials, these kids created devices that solve ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Following months of rumors, Valve finally announced the new Steam Machine earlier this week. And while I might question the company's decision to ship a system with only 8GB of VRAM in 2026, I believe ...

In this snippet from Podcast Unlocked Episode 715, Valve's new Steam Machine will seemingly be competing directly with Xbox's next-gen console/PC hybrid efforts, is this a potential problem for the ...