At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...

Think about the name, TensorFlow. It gives us a pretty good idea about how it works. A tensor is a multi-dimensional data ...

Algerian researchers have built a single-stage solar and battery desalination system for brackish water that uses a hybrid spotted hyena optimizer and maximum power point tracking (MPPT) algorithm to ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.

GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...

As consumers shift from browsing to being briefed by AI, Adobe’s Mark Szulc explains why the next era of brand discovery will ...

See why last-click attribution falls short in complex B2B journeys and how multitouch attribution models provide clearer ...