Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

Comprehensive Investigation and Comparative Analysis of Machine Learning-Based Small-Signal Modelling Techniques for GaN HEMTs

Abstract: A number of machine learning (ML) algorithm based small signal modeling of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) have been reported in literature. However, these ...
IEEE

Short-Term Metro Passenger Flow Prediction Based on Random Forest and LSTM

Abstract: Rapid and accurate short-term passenger flow prediction plays an important and far-reaching role in passenger flow control and early warning. In fact, the short-term passenger flow presents ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
News-Medical.Net

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

AI post-training startup Bespoke Labs raises $40M in funding

Bespoke Labs Inc., a startup working to streamline the post-training phase of artificial intelligence projects, has raised ...
Journal of Medical Internet Research

Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models ...

Differences and corresponding 95% CIs were estimated on the held-out test set using 2000 bootstrap samples. Results: Zero-shot application reduced the AUPRC in most settings, and any marginal ...
GitHub

Bootstrap Your Own Latent (BYOL), in Pytorch

Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state of the art (surpassing SimCLR) without contrastive learning and having to designate ...
Frontiers

Sport Performance Analysis: from the Laboratory to the Field

Research in sport science has historically been done in controlled laboratory conditions, as the analytical tools available were not portable or not adapted to field conditions. With the recent ...