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

In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

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

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

Much ink has been spilled discussing what the career prospects are for a CS graduate in this age where generative AI has ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge ...

Breakthroughs from Google, Caltech, and IBM have reignited debate over “Q-Day,” when quantum computers could break Bitcoin’s cryptography.

Quantum computing may prove to be an existential threat to Bitcoin, but human panic and slow preparation are bigger ...