First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

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 ...

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

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

Market research is shifting to real-time, AI-native workflows. Here are seven trends that will redefine insights in 2026 and ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

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

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