Explore the innovative collaboration between Ross Lovegrove and Google DeepMind in designing an AI-generated, 3D printed ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Engel Austria GmbH is accelerating its growth strategy at K 2025, unveiling a portfolio of new technologies and announcing ...

University researcher uses simulations and machine learning to reshape infrastructure resilience to withstand rare, ...

Abstract: This paper introduces a tool for simulating electro-magnetic interference (EMI) reduction in switching devices using digital spread spectrum modulation techniques. The proposed tool enables ...

To bring this super-alloy to life, the team turned to 3D printing. Unlike traditional casting, where molten aluminum cools slowly, allowing precipitates to grow too large, 3D printing offers rapid ...

MIT engineers have developed a printable aluminum alloy that can withstand high temperatures and is five times stronger than ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Abstract: Successive approximation register analog-to-digital converters (SAR ADCs) are one of the most common ADC architectures due to their high energy efficiency in the medium-to-high resolution ...

From stunning presentations to app development, these AI tools are game-changers for anyone looking to work smarter, not ...