Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...

A thermoelectric generator with a shape that no human designer would likely have imagined has now been created by a ...

From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity ...

SEED-SET enhances ethical evaluation of autonomous systems through a hierarchical Bayesian framework, optimizing alignment ...

In this work, we develop a new framework for designing experiments that are robust to model misspecification through generalised Bayesian inference. This repository contains the files needed to ...

Joint Modelling for Death and Quality of Life: Worthy as a Primary Endpoint Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Recent Trends and Patient Outcomes of Phase I Trials: A Single-Institution Experience in the Era of New Therapeutic Agents This study reviewed all industry-sponsored phase I clinical trial protocols ...

Bayesian One Year On: The Superyacht Disaster That Has Sparked Multiple Lawsuits One year on, and questions around the tragedy are no closer to being answered, neither is who could be liable—Law.com ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...