Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

OpenAI has recently unveiled more than 50 detailed, real-world examples showing how students, particularly those at the ...

If we become quantum tomorrow, data is lost today. Quantum comes down to size and efficiency. Current computers approach ...

Chelsea Williams discusses the deep-tech industry and how her company Mater-AI is looking to address challenges in ...

Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

For decades, scientists have dreamed of creating a miniature version of the sun on Earth – a machine capable of producing ...

It’s a popular example of the “Mandela effect,” or a collective false memory. And while some people may laugh and move on, ...

The engineer decides to make a virtual twin (process model) of the etch process to mimic the actual behavior of the wafer ...

What does it truly mean to live in space? To wake up in microgravity, repair failing systems, and make sure there’s enough ...

This allows for exponentially faster computing for complex problems. However, Thomas Schuster ... In the everyday world, distinguishing between a liquid phase and a gas phase, for example, is fairly ...

“Siemens Xcelerator gives us the functionality that we need today, but it’s also a platform that’s connected to all the ...