Science

New research tackles the problem of accurately estimating the mean of data when information is severely limited by quantization and complicated by adversarial attacks.

A new quantization technique significantly improves the efficiency of running massive AI models on NVIDIA hardware.

Researchers have developed a new method to detect malicious intent hidden within visually complex QR codes, offering a critical defense against a growing wave of ‘quishing’ attacks.

A new approach to detecting vulnerabilities in Ethereum smart contracts leverages the power of Transformer networks to improve accuracy and generalization.

New research demonstrates a successful simple power analysis attack against the core multiplication function of the HQC post-quantum cryptosystem, highlighting critical implementation vulnerabilities.

New research reveals that increasing exploration can unexpectedly undermine cooperative behavior in multi-agent systems using shared policies, even with well-designed learning algorithms.

Researchers have demonstrated the 3D consistency of a novel lattice equation and developed a new quadrilateral system extending the framework of integrable lattice models.

A new quantization technique intelligently reduces the size of large language models without sacrificing accuracy, offering significant speed and memory benefits.

New research reveals how carefully tuned barriers can selectively block or transmit electron flow in bilayer graphene, uncovering unexpected quantum phenomena.

A new approach enables secure change-point detection in time series data, protecting data privacy through fully encrypted computation.