An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed ...

Abstract: This article presents an adaptive feedthrough cancellation and a closed-loop control method for micro electro mechanical system (MEMS) electric field sensor (MEFS). Based on the proposed ...

Q4 2025 earnings call recap: clonoSEQ MRD growth, 2026 revenue guidance, margins, cash burn and risks—read now.

Abstract: To address this issue, this paper presents an adaptive method for removing scattering media using a mask based on wireless communication fading models. We hypothesize a similarity between ...

Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near-zero risk.

ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits. The growing ...

Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to ...

Adaptive Biotechnologies has seen significant growth in its MRD segment, now contributing 85% of revenues and achieving segment profitability. Per my estimates, ADPT is priced for ~30% annual revenue ...

AQC25 unites academia, national labs, startups, and global tech leaders to present breakthroughs, debate challenges, and define the path toward scalable calibration ...