Cyber-physical systems in this context are engineered to be fully autonomous. They consist of physical infrastructure, embedded sensors, and intelligent computational components that interact in real ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

Traditional control systems like Nonlinear Dynamic Inversion (NDI) rely heavily on precise mathematical models. While this worked well for ...

In high-stakes domains like healthcare or finance, even a single mislabelled data point can distort model behavior in ways that are difficult to detect and costly to correct. TELUS Digital works with ...

Solusi Village-Connect Hub atasi krisis energi & digital di 3T Indonesia. Kombinasi mikrohidro-surya AI, hemat biaya, 95% ...

Blackbeard could give the Army a way to quickly strike dynamic targets hundreds of miles away, and also shake its acquisition processes.

It brings together researchers, farmers, advisors, and technology developers from around the world to explore cutting-edge advancements in automation, sensors, robotics, and data-driven insights ...

Developed by U of T Engineering researchers, the tool uses early-stage data to predict the potential real-world use for a new ...

Forecasting and tracking wildfires and flooding is extremely complicated as multiple variables are involved. Weather, topography and groundwater flows are just some of the elements that need to be ...