Abstract: Creating real-time indoor environment digital twins (DTs) is challenging when integrating diverse datasets with Building Information Models (BIMs). This study compares four machine learning ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Elliptic curve cryptography (ECC) is an asymmetric encryption approach that relies on the algebraic structure of elliptic curves defined over finite fields. By offering equivalent security to ...

The quantum attack Bitcoin has spent years treating as tomorrow's problem just got a little less theoretical. Quantum security startup Project Eleven said it awarded its 1 bitcoin BTC $78,243.94 Q-Day ...

Abstract: Efficient elliptic curve point multiplication (ECPM) with minimal hardware resources is a crucial requirement in elliptic curve cryptography (ECC) for secure communication. To address this, ...

Browser/Node benchmarking harness comparing barretenberg's BN254 MSM against competing state-of-the-art multi-scalar-multiplication (MSM) implementations, specifically targeting the web execution ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...