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 ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

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 ...