Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...
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Biology-based brain model matches animals in learning, enables new discovery
A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
The introduction of AI technologies into weather forecasting marks a significant evolution in the field. As NOAA Administrator Neil Jacobs stated, the strategic application of AI represents a leap ...
We think it won't be long until there's a corner of business that isn't touched by artificial intelligence (AI). The UK ...
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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...
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