Gaurav Gupta leads enterprise efficiency by integrating intelligent automation and CRM modernization to optimize costs while ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Global enterprises adopt AI contact center AI as virtual agents and automation reshape operations and customer experience. BERKELEY, CA, UNITED STATES, January 5, 2026 /EINPresswire.com/ — AI Contact ...

Abstract: Reinforcement learning (RL)-based low-power wide-area networks (LPWANs) such as Long Range (LoRa) enable the access point (AP) to optimize the uplink power and channel of user equipment (UE) ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Talent to mention or do these in the video: "A website where students can improve learning efficiency to achieve better grades"; "It’s free!"; main functions: (talent can choose two to three to talk ...

Abstract: Learning-based methods, such as reinforcement learning (RL), have shown advantages over rule-based methods in energy-efficient strategies for autonomous electric vehicles (AEVs), showing the ...

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important trend in AI today. Last week, Mark Zuckerberg declared that Meta is aiming to ...

Under increased scrutiny to do more with less, government agencies are grappling to streamline operations, reduce their footprint, and slash expenditures while embracing transformative technologies.