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 ...
TMCnet

Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery

NEW YORK, Feb. 24, 2026 /PRNewswire/ -- Fractal ( www.fractal.ai ), a publicly listed global enterprise AI company serving Fortune 500® organizations, today announced the launch of PiEvolve, an ...
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 ...
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 ...
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.

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 ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...