Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...

Scientists’ Side Hustle? Using AI and Quantum Computing to Generate New Peptides

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...
IGN

The Steam Machine Costs $1049, Is That Too Much?

After months of speculation, the Steam Machine is finally here, starting at $1049 for the 512GB version. If that price is still within your budget, you can reserve it now on Steam. That $1049 is just ...
Polygon

How to pre-order the Steam Machine

Valve opened Steam Machine pre-orders on the back of its price and release date announcements for the PC-console hybrid. The situation is much like it was for the Steam Deck, with limited availability ...
Polygon

Valve confirms Steam Machine price and release details

Valve's new Steam Machines will arrive this summer and start at $1,049, the company announced Monday. Valve, which released its new Steam Controller in May and has a new VR headset coming called Steam ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
GitHub

Implementation Guide for the LOINC Ontology

The SNOMED CT Implementation Guide for the LOINC Ontology offers comprehensive guidance for implementing and using the LOINC Ontology; an extension to SNOMED CT that bridges structured clinical ...
IEEE

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
Journal of Medical Internet Research

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...
IEEE

Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques

Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...