Many high-performing teams look stable on the surface. But engagement is quietly breaking down, even in environments where ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

The brain’s hemispheres are specialized for efficiency. Modern neuroscience shows lateralization enhances function without ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a combination of symbolic programs and neural networks. These concepts are grounded ...

As memory prices keep climbing, understanding AI-driven demand, US–China controls, and input costs is essential for ...

If your AI outputs sound generic — your inputs probably are too. In part two of "Selling with AI", Apollo.io breaks down the exact structure for writing AI sales prompts that drive results with real ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

This paper proposes a framework for benchmarking the new product development process of individual companies. The company’s market environment and the internal capabilities (resources) it allocates in ...

Meet Anthropic’s Opus 4.6 with a 1 million token window in beta. Allowing you to analyze huge repos faster and cut manual ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...