Kennesaw State researcher receives American Heart Association grant to study heart valve disease
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Updates every hour. Last Updated: 24-Jun-2025 06:10 ET (24-Jun-2025 10:10 GMT/UTC)
MIT researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.
Overview:
A research group from the Institute for Research on Next-generation Semiconductor and Sensing Science (IRES²) at Toyohashi University of Technology developed an innovative in vivo electrophysiological neural recording technology that minimizes neuronal death and allows stable recordings for over a year.
This breakthrough involves a 5-µm-diameter microneedle electrode fabricated on a flexible film using silicon-growth technology. Through experiments using mice, the team demonstrated significantly reduced neuronal death and stable neuronal activity recordings compared with traditional electrode technologies, overcoming long-standing challenges in neural recording.
A recent study by Kaunas University of Technology (KTU) Lithuania management scholars underscores the importance of organisations’ dynamic capabilities for greener business practices. Analysing data from 139 manufacturing companies, the research reveals that financial and technological expertise combined with adaptability to regulations and evolving consumer demands, are key to advancing the green transition.
The work could help produce more effective future anti-aging treatments.
MIT engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments.