If you want to break into data science, a portfolio of completed projects is your most powerful asset. From analyzing Titanic passenger data to creating interactive dashboards, beginner-friendly ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Text detection and recognition in natural scene imagery pose formidable challenges due to variations in orientation, distortions, intricate backgrounds, and inconsistent illumination.

Abstract: With the growing sophistication of large language models, distinguishing between human-written and machinegenerated text has become increasingly challenging. Deepfake text—content that ...

Is Poke an OpenClaw for the rest of us? That’s the idea coming from a new startup offering an AI agent that you can access via iMessage, SMS, Telegram, and, in some markets, WhatsApp. The AI agent ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

If you got a sketchy text last year about an unpaid toll or parking ticket, you weren't alone. Those DMV and E-ZPass phishing scams swept across the country in 2025, targeting drivers in states like ...

💡 Insights: • Month-to-month contracts increase churn risk • Higher monthly charges lead to higher churn • Key features influencing churn identified using ML ...