Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...

Success requires strategies that go beyond the traditional execution model. At S&B, we have delivered more than 25 ...

Abstract: Although reinforcement learning (RL) algorithms have demonstrated impressive capabilities in simulation, their transition into the real-world often reveals a performance gap. A key challenge ...

Autonomous agents may generate millions of lines of code, but shipping software is another matter Opinion AI-integrated development environment (IDE) company Cursor recently implied it had built a ...