A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, ...
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...
The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
The Ability Machine has already completed brand work for Mercedes and Kind.
The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.
This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
Abstract: In this paper, a reconfigurable intelligent surface(RIS)-assisted millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication system is considered, where the RIS is ...
The Expanding Universe of CNC Applications and Market Drivers The demand for sophisticated CNC solutions is fueled by several ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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