Abstract: This research proposes the use of machine learning (ML) to predict and optimise titanium alloys with low Young's modulus for applications in additive manufacturing of bone prostheses. From a ...

Abstract: An accurate data-driven predictive model is crucial to obtain the continuous profile of formation modulus of elasticity which is also a promising study in the area of rock modeling for gas ...

Which exercise machine burns the most calories? The one you enjoy and will use the most. Here are our all-time favorite cardio machines we have tested at Live Science. When you purchase through links ...

A cheap rod catches fish, but a cheap reel breaks hearts.” Fishing can be as expensive or as budget-friendly as you make it.

Pressure sensors are essential for a wide range of applications, including health monitoring, industrial diagnostics, etc.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

For a Happy New Year, Pez has the first Gear Break of 2026 with bikes, AI for maximal performance and recovery guidance.

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...

Ever thought about, or dreamt of, racing the Rolex Sydney Hobart? Or taking on the ultimate challenge of double-handed offshore sailing?

Cecilia Van Cauwenberghe explains how to measure the future using nanoscale metrology and discusses the global competition ...