Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...
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 ...
The potential for everyday wireless signals to be used to spot common respiratory diseases without scans, needles or physical contact has been evaluated in a recent study, showing that changes in ...
Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) ...
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 ...
Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study ...
Add Yahoo as a preferred source to see more of our stories on Google. The main difference between hand wash and delicate cycles has to do with the agitator. With both cycles, use cold water and a ...
As more hospitals and medical practices assess AI applications to improve medical bill collection and revenue cycle management more broadly, it’s a good opportunity to discuss what healthcare ...
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