A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
INOD's push into pretraining data is reshaping its strategy, unlocking tens of millions in contracts and positioning the firm ...
The Swiss minimal phone pioneer Punkt is back with another model, the MC03. The new handset continues Punkt's focus on ...
Regtechtimes on MSN
Securing access, building trust: What healthcare platforms can learn from the Kynect cybersecurity model
As government systems face growing pressure to deliver citizen services digitally, with trust, speed, and security, one truth ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Saudi Arabia's January 2026 foreign ownership law seeks to attract property investment amid Dubai's supply glut, focusing on ...
In the digital age, the data center is the world's beating heart, a critical, power-hungry nexus where every millisecond of ...
Tiiny AI has demonstrated a 120-billion-parameter large language model running fully offline on a 14-year-old consumer PC.
Perplexity AI CEO Aravind Srinivas warned that AI running directly on personal devices could undermine the centralized data ...
News Medical on MSN
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 ...
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