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Discover the latest trends in Cyber Security, Data Science, Artificial Intelligence, UX/UI Design and Web Development. Find advice and practical guidance from our team by reading through our articles.

Federated Learning vs Centralized Training in Healthcare: Cost, Compliance, and MLOps Considerations
February 1, 2026

Federated Learning vs Centralized Training in Healthcare: Cost, Compliance, and MLOps Considerations

Deep dive on federated vs centralized healthcare ML: cost trade-offs, HIPAA/GDPR compliance, MLOps, monitoring, and security risks, with drift monitoring.
federated learning
centralized training
Evaluating Hallucinations and Clinical Safety in LLM‑Generated Summaries of Electronic Health Records
February 1, 2026

Evaluating Hallucinations and Clinical Safety in LLM‑Generated Summaries of Electronic Health Records

Learn how to evaluate LLM‑generated EHR summaries for hallucinations and clinical risk using claim-based metrics, risk weighting, and production safety gates.
LLM evaluation
clinical NLP
Data Science Bootcamp Prerequisites: Math, Python, and ‘Readiness’ in Plain English
January 29, 2026

Data Science Bootcamp Prerequisites: Math, Python, and ‘Readiness’ in Plain English

Learn data science bootcamp prerequisites, math basics, Python skills, and readiness tips. Follow a prep roadmap and explore Code Labs Academy online.
data science
data science bootcamp
Evaluating Privacy–Utility Trade‑Offs on Small Clinical Datasets with PyTorch and Opacus
January 29, 2026

Evaluating Privacy–Utility Trade‑Offs on Small Clinical Datasets with PyTorch and Opacus

Train clinical ML models with differential privacy using PyTorch and Opacus. Tune clipping and noise, track ε/δ, and plot AUROC vs privacy loss.

differential privacy
opacus
Monitoring and Incident Response for Deployed Healthcare ML Models: Drift, Abuse, and Data Leaks
January 29, 2026

Monitoring and Incident Response for Deployed Healthcare ML Models: Drift, Abuse, and Data Leaks

Ops-focused guide to monitoring deployed healthcare ML models that detect drift, track calibration, spot API abuse, and respond to PHI leaks.

healthcare machine learning
MLOps
UX/UI Bootcamp for Career Changers: Timeline, Portfolio, and First Job Strategy
January 28, 2026

UX/UI Bootcamp for Career Changers: Timeline, Portfolio, and First Job Strategy

UX/UI bootcamp for career changers: timeline, portfolio roadmap, and first job strategy. Learn what to build and how to get hired, explore programs.

UX/UI bootcamp
UX design
Prompting, Guardrails, and Redaction: Safe LLM Workflows for Clinical Psychologists
January 25, 2026

Prompting, Guardrails, and Redaction: Safe LLM Workflows for Clinical Psychologists

Learn safe LLM workflows for clinical psychology: prompting patterns, PII/PHI redaction, schema guardrails, and production controls aligned with HIPAA/GDPR.
clinical psychology
healthcare AI
Designing Evaluation Protocols for Clinical AI: Beyond ROC AUC to Utility and Harm
January 25, 2026

Designing Evaluation Protocols for Clinical AI: Beyond ROC AUC to Utility and Harm

Learn to evaluate clinical AI beyond ROC AUC with calibration, cost-sensitive metrics, and decision curves to measure utility, harm, and workflow impact.
clinical ai
model evaluation
UX Designer vs Product Designer: Responsibilities, Tools, and Portfolios
January 24, 2026

UX Designer vs Product Designer: Responsibilities, Tools, and Portfolios

UX Designer vs Product Designer: responsibilities, tools, and portfolio tips to choose your path. Explore Code Labs Academy bootcamps and build skills.
UX design
product design
Cybersecurity vs Software Engineering: Skills, Jobs, and Who Thrives in Each
January 24, 2026

Cybersecurity vs Software Engineering: Skills, Jobs, and Who Thrives in Each

Compare cybersecurity vs software engineering skills, jobs, and fit. Choose your best path and explore Code Labs Academy bootcamps to get job-ready.

cybersecurity
software engineering
Handling Non‑IID Clinical Data in Federated Learning: Algorithms, Pitfalls, and PyTorch Examples
January 21, 2026

Handling Non‑IID Clinical Data in Federated Learning: Algorithms, Pitfalls, and PyTorch Examples

Deep dive into federated learning on non‑IID clinical data: FedAvg vs FedProx, personalization strategies, pitfalls, and PyTorch code for hospital datasets.
federated learning
non-iid data
Greece’s Upskilling Boom: How ΔΥΠΑ (ex-OAED) Vouchers and EU Programs Can Open Tech Pathways
January 20, 2026

Greece’s Upskilling Boom: How ΔΥΠΑ (ex-OAED) Vouchers and EU Programs Can Open Tech Pathways

Learn how ΔΥΠΑ training vouchers and EU-funded programs work in Greece and how to stack them with a bootcamp to move into tech. Explore options today.
ΔΥΠΑ vouchers
OAED