To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

For an increasing number of companies, reasoning models (AI that thinks through problems rather than just following commands) are making traditional prospecting look as outdated as a Rolodex.

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

This paper proposes a new Kalman-filter-based recursive frequency estimator for discrete-time multicomponent sinusoidal signals whose frequencies may be time-varying. The frequency estimator is based ...

What Are Autoregressive Models? Autoregressive models are statistical models used for time series analysis, where current values are predicted based on a linear combination of past values. These ...

Learn about the best moving companies before selecting a service for your next move, as well as their overall pricing, types of moves offered and more.

Catalytic cracking unit is a highly dynamic industrial process involving complex chemical reactions, catalyst circulation, temperature and pressure changes, and control system regulation. To address ...

Over the past 25 to 30 years, agile innovation methods have greatly increased success rates in software development, improved quality and speed to market, and boosted the motivation and ...

According to CIO’s State of the CIO Survey 2025, 42% of CIOs say AI and ML are their biggest technology priority for 2025. And while actions driven by ML algorithms can give organizations a ...