In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...

Planthoppers and leafhoppers not only feed on rice plants but also act as highly efficient vectors for plant viruses, causing ...

A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...

A slow turn in a hallway can feel meaningless. Over a decade, it may tell a deeper story about your brain. A collaborative ...

Centralized remote monitoring is reshaping power plant operations, enabling specialized teams to oversee multiple facilities ...

Predictive analytics, learning management systems, and behavior-monitoring tools now operate continuously, producing ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...

While not as mature as its use in other areas, health systems across the U.S. are beginning to adopt predictive analytics tools for labor cost forecasting. Many organizations have automated ...

Meta's family of apps boasts over 3.5 billion daily active users, which creates powerful network effects and an advertising goldmine. Meta's AI integrations are already enhancing user engagement and ...

AI models use data, not luck, to spot the next 100× crypto tokens. By analyzing price trends, wallet flows, and sentiment, crypto prediction tools reveal breakout projects before the crowd. Every bull ...

Abstract: Nonlinear model predictive control (MPC) and reinforcement learning (RL) are two powerful control strategies with complementary advantages. This work shows how actor-critic RL techniques can ...