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fromMedium
1 month ago

Digital twin modeling: a vision of an AI future with UX at the helm

"UX in AI" has become one of the most confusing buzzwords in our industry. Jakob Nielsen has famously talked about how UX is desperately needed for AI, but few can define what this means (or how to do it). Is it about designing chat interfaces and chatbots? Is it about working with algorithms or vibe coding? Is it about using Replit and Bolt instead of Figma?
UX design
Artificial intelligence
fromInfoQ
1 month ago

Agentic AI Expands Into SecOps to Ease Human Workloads

Agentic AI is automating low-value security tasks—triage, reverse-engineering, phishing analysis, and forensic workflows—producing evidence-rich outputs that improve analyst efficiency while prioritizing explainability.
#medicare-fraud
more#medicare-fraud
fromHackernoon
1 year ago

Can AI Explain a Joke? Not Quite - But It's Learning Fast | HackerNoon

We empirically study how several baseline models perform on the task of explainable visual entailment, investigating both off-the-shelf and finetuned model performances.
Artificial intelligence
#remote-sensing
more#remote-sensing
Data science
fromHackernoon
3 months ago

How Few-Shot Learning Enhances UAV-Based Image Analysis | HackerNoon

Few-shot learning enhances deep learning applicability in remote sensing by enabling effective learning with limited labeled data.
Artificial intelligence
fromHackernoon
4 months ago

As AI Advances, Researchers Push for Models That Reason Like Humans | HackerNoon

Explainable AI (XAI) is evolving to better interpret increasingly complex AI systems, emphasizing the need for clarity and accountability.
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