Developing Human-In-The-Loop Models That Drive Profit Optimization

The companies doing this well are architecting systems where people and machines interact in designed ways, augmenting human ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Devdiscourse

AI in water management: Breakthrough tool or overstated innovation?

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...
BioProcess International

Doing More with Less: Multifidelity Optimization in the Biopharmaceutical Industry

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.
Morning Overview on MSN

Machine learning is turbocharging cheap lithium-ion battery design

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Becker's Hospital Review

AI models struggle to detect patient deterioration

A new study led by researchers at Virginia Tech has found “serious deficiencies” in machine learning models’ ability to detect when a patient’s condition is worsening. The study, published March 11 in ...
Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...