Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Ineffable Intelligence Ltd., a startup led by former Google DeepMind principal research scientist David Silver, is reportedly raising $1 billion in funding.
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Abstract: Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
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