eLife

A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level

Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

This Secret Pattern Predicts What’s Next in Your Market. Once You See It, You Can’t Unsee It.

Here’s the story of when I first encountered it. It happened in 2024, as I interviewed Notion cofounder and CEO Ivan Zhao for this magazine. Related: 5 Strategies for Leaders to ...
IEEE

FedCSL: Cyclic Sequential Federated Learning for Mitigating Distributional Shifts in Consumer Healthcare IoT Systems

Abstract: Medical imaging data, such as CT scans, MRIs, and pathology slides, are essential for developing robust Machine Learning (ML) models in consumer healthcare systems. However, the large size ...
IEEE

FGOSNET+: A Frequency-Guided Online Sequential Learning Framework for Robust Prediction of Nonstationary Gas Utilization Ratio

Abstract: Accurate prediction of the gas utilization ratio (GUR) is critical for ensuring the safe, stable, and efficient operation of the ironmaking process in a blast furnace. However, the complex, ...

Identifying potential drug candidates with deep learning virtual screening

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...
Scientific Research Publishing

Why Oracle-Based Quantum Search Cannot Use Deep Loops: Physical Limits on Sequential Operations ()

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...
eLife

Dynamics of mesoscale brain network during visual discrimination learning revealed by chronic, large-scale single-unit recording

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...
InfoWorld

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management. A new fine-tuning technique aims to solve ...