In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
Today, Mirai is developing a framework for models so they can perform better on devices. The company has built an inference ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Denver, CO, Feb. 17, 2026 (GLOBE NEWSWIRE) -- GeoCue will unveil four new add-ons for its LP360 Drone point cloud processing software at Geo Week 2026 in Denver: AI Ground+, AI Forestry, AI Utilities ...
A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
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