The Applicant Illusion
How organizations can strengthen trust, reduce fraud, and balance security with candidate experience in an era of synthetic identities.
The art of the possible with AI—empowering AI startup founders, product managers, and builders to act decisively and seize opportunities based on newly published AI research.
How organizations can strengthen trust, reduce fraud, and balance security with candidate experience in an era of synthetic identities.
Deepfake detector evaluation reveals the limits of accuracy-driven approaches and the importance of measuring calibration, generalization, and adversarial robustness.
Why tackling transaction bias is critical to trader experience, market integrity, and institutional adoption across blockchain systems.
Secret random oracle technology enforces fairness in transaction ordering, reduces hidden costs, and builds trust in decentralized systems.
Why solving data fragmentation and improving coaching workflows is key to scaling home-based care programs.
How personal health multi-agent technology turns fragmented data into accurate, personalized, and actionable wellness guidance.
How organizations can transform agentic AI workflows into reliable, cost-efficient systems that consistently meet SLOs.
With Murakkab, organizations can transform agentic AI from a costly experiment into an optimized portfolio.
How biologically inspired speech frameworks unlock accuracy, reduce costs, and create competitive advantage.