A new machine learning framework designed to detect malicious interference in unmanned aerial vehicles (UAVs), commonly known as drones, has shown strong performance in identifying both sudden and ...
Abstract: Illicit activities and coordinated manipulations in the Non-Fungible Tokens (NFT) market remain significant concerns, driven by the pseudonymous and publicly transparent nature of blockchain ...
Cancer claims more than 10 million lives every year globally. Research shows that detecting cancer early can greatly improve a patient’s chance of survival. And yet we lack reliable, affordable tools ...
Researchers at the School of Medicine at the University of California, Riverside have discovered previously unrecognized immune surveillance structures in the skin. Found within hair follicles, the ...
Don't go out wandering aimlessly looking for treasure. A little research can make your metal detecting hobby much more rewarding. By Eric Alt Published Apr 11, 2026 1:28 PM EDT Add Popular Science ...
Persistent cycles and network resilience: a hypernetwork-based framework for temporal graph analysis
Temporal networks capture systems whose interactions occur as time-stamped events, where resilience depends on whether time-respecting connectivity can be maintained under disruptions. Existing ...
Sleep Cycle and CMU's Delphi Group have announced a research collaboration focused on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement ...
Microsoft’s research shows how poisoned language models can hide malicious triggers, creating new integrity risks for enterprises using third-party AI systems. Microsoft has developed a scanner ...
Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
We have compared the four temporal modes of the gravity field with the six temporal modes of the magnetic field one by one. The main principal components of the core magnetic and gravity signals ...
Existing graph-based methods for anti-money laundering (AML) in blockchain systems primarily focus on structural connectivity or simple temporal encodings, yet they overlook a critical dimension: the ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
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