Researchers have demonstrated that the theoretically optimal scaling for magic state distillation—a critical bottleneck in ...

Many precision current source designs are available, but simple arithmetic for component values to tailor them for an ...

Banking group HSBC is rolling out technology across the globe to improve decision making processes when giving customers credit. The financial services giant has signed a contract with data analytics ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Over the past decade, managers have awakened to the power of analytics. Sophisticated computers and software have given companies access to immense troves of data: According to one estimate, ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Probability of harm (POH) is critical to appropriately scoring risks, so how should it be done? POH needs to show all probabilities, not suppress them.