Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
IEEE

Exploring Factors Influencing Crash Occurrence Involving Autonomous Vehicle: Random Parameters Model With Heterogeneity in Means and Variances Approach

Abstract: Autonomous vehicle (AV) technologies are expected to play a crucial role in reducing traffic crashes occurred by human factors; however, foreseeable coexistence of AVs with human-driven ...
BMJ

Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and ...

2 State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China 3 Chongqing Key Laboratory of Hematology and Microenvironment, Chongqing, China Participants This study analysed 471 newly ...
VentureBeat

Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
Forbes

Trillion Parameter Models, Tiny Software Kernels, And The Future Of AI

Forbes contributors publish independent expert analyses and insights. Founder WQ Foundry, SkyGrid (acq. Boeing), SparkCognition (AI Unicorn) In the late 1990s, as an undergrad at The University of ...
Network World

Perplexity’s open-source tool to run trillion-parameter models without costly upgrades

TransferEngine enables GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models to run on older systems. Perplexity AI has released an open-source software tool that ...
Virtualization Review

Large Language Model Selection -- Why the Parameter Count Isn't Everything

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...
VentureBeat

Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...
Frontiers

Prediction of hemorrhagic transformation after thrombolysis based on machine learning models combined with platelet distribution width-to-count ratio

Hemorrhagic transformation (HT) is a common and potentially serious complication following intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS). Despite its high incidence, ...
EurekAlert!

Scientists target key parameters of MJO simulation bias to improve climate models

The Madden–Julian Oscillation (MJO), as a key driver of global weather and climate anomalies, is an important source of subseasonal predictability. However, most climate models still struggle to ...
Interesting Engineering

China’s Alibaba releases trillion-parameter AI model to rival OpenAI, Google

Chinese giant Alibaba launched its latest AI model, the Qwen-3-Max-Preview, with over 1 trillion parameters on its official cloud-services platform and the large language model marketplace OpenRouter ...