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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.ML
iON AI Synthesis
The search results for "stat.ML" highlight several advances in machine learning applications and quantum computing. Key developments include the use of deep learning in predicting CRISPR-Cas9 on-target effects (DeepFM-Crispr), and the exploration of funding and research dynamics within CRISPR innovation. Additionally, the results mention quantum computing advancements, such as quantum error correction using the toric code and the Piquasso platform for simulating photonic quantum computers, reflecting the integration of machine learning in cutting-edge technologies.
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arxiv.org
Quantum error correction with the toric code

Quantum computing platforms based on arrays of tweezer-confined neutral atoms have recently emerged as a competitive modality thanks to a direct path toward high qubit count, rapidly advancing operation fidelities, and their ability to execute circuits with arbitrary qubit connectivity. These featur…

quant-ph cond-mat.quant-gas physics.atom-ph
arxiv.org
Piquasso: A Photonic Quantum Computer Simulation Software Platform

We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. Piquasso can be programmed via a high-level Python programming interface enabling users to perform efficient quantum computing with di…

quant-ph
arxiv.org
DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning

Since the advent of CRISPR-Cas9, a groundbreaking gene-editing technology that enables precise genomic modifications via a short RNA guide sequence, there has been a marked increase in the accessibility and application of this technology across various fields. The success of CRISPR-Cas9 has spurred …

q-bio.QM cs.AI cs.LG
arxiv.org
Funding CRISPR: Understanding the role of government and philanthropic institutions in supporting academic research within the CRISPR innovation system

CRISPR/Cas has the potential to revolutionize medicine, agriculture, and biology. Understanding the trajectory of CRISPR research, how it is influenced and who pays for it, is an essential research policy question. We use a combination of methods to map, via quantitative content analysis of CRISPR p…

cs.DL cs.SI
arxiv.org
Exponential family measurement error models for single-cell CRISPR screens

CRISPR genome engineering and single-cell RNA sequencing have accelerated biological discovery. Single-cell CRISPR screens unite these two technologies, linking genetic perturbations in individual cells to changes in gene expression and illuminating regulatory networks underlying diseases. Despite t…

stat.ME stat.AP
arxiv.org
Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety

CRISPR-based genome editing has revolutionized biotechnology, yet optimizing guide RNA (gRNA) design for efficiency and safety remains a critical challenge. Recent advances (2020--2025, updated to reflect current year if needed) demonstrate that artificial intelligence (AI), especially deep learning…

q-bio.QM cs.AI cs.LG
semanticscholar.org
CRISPR-Cas12–based detection of SARS-CoV-2

An outbreak of betacoronavirus severe acute respiratory syndrome (SARS)-CoV-2 began in Wuhan, China in December 2019. COVID-19, the disease associated with SARS-CoV-2 infection, rapidly spread to produce a global pandemic. We report development of a rapid (<40 min), easy-to-implement and accurate …

semanticscholar.org
Past, present, and future of CRISPR genome editing technologies.

Genome editing has been a transformative force in the life sciences and human medicine, offering unprecedented opportunities to dissect complex biological processes and treat the underlying causes of many genetic diseases. CRISPR-based technologies, with their remarkable efficiency and easy programm…

arxiv.org
Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI

Artificial intelligence is observed to age not through chronological time but through structural asymmetries in memory performance. In large language models, semantic cues such as the name of the day often remain stable across sessions, while episodic details like the sequential progression of exper…

cs.CL cs.AI cs.IT cs.LG
arxiv.org
A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse

This paper leverages various philosophical and ontological frameworks to explore the concept of embodied artificial general intelligence (AGI), its relationship to human consciousness, and the key role of the metaverse in facilitating this relationship. Several theoretical frameworks underpin this e…

cs.AI cs.HC