MarketScale

The End-to-End Model: Impact Consulting’s Strategic Approach to Work-Based Learning

How Impact Consulting helps universities scale work-based learning, strengthen student employability, and enhance the overall ...
InfoQ

Wayve's End-to-End Deep Learning Model for Self-Driving Cars

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
The American Journal of Managed Care

Multitask Learning Model Outperforms Traditional Machine Learning Models in RCTs, Developers Say

The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.
The Next Web

Deep learning models DON’T need to be black boxes — here’s how

Deep neural networks can perform wonderful feats thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...
Forbes

The Five Major Platforms For Machine Learning Model Development

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...

Scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.
ascopubs.org

Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...