Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...

Quantum computing needs a sustainability initiative that benchmarks its carbon emissions throughout its entire life cycle (production, use, and disposal) and informs computing stack design decisions.

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Inside IBM’s Quantum Test Lab, the company is wagering that the next leap in artificial intelligence will not come from ever larger language models alone, but from machines that harness the quirks of ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

The year isn't over yet, but we've already seen record-breaking quantum computers, skyrocketing levels of investment, and demonstrations of real-world benefits. In all the hype about AI it can be easy ...

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...