Zaha Hadid Architects" at the Museum of Contemporary Art and Urban Planning (MOCAUP) in Shenzhen, China, presents ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Python has become the most popular language for using AI, and its creator believes that there’s an interesting reason why this is ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Valve has formally introduced the Steam Machine as part of its upcoming Steam Hardware lineup, confirming an early-2026 release window. The device sits alongside the new Steam Controller and Steam ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

💻 local machines, e.g., macOS (+ Apple Silicon/MPS) and Linux/Windows WSL (+ NVIDIA GPU). 🌐 Remote Linux servers with GPUs, e.g., VMs on cloud providers and IC and RCP HaaS at EPFL. ☁️ Managed ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...