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 ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Every day, every CNC program, every sensor reading, every tool change, every quality inspection report contributes to a ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.