These “sniffing algorithms”—used, for example, by a sell-side market maker—have the built-in intelligence to identify the existence of any algorithms on the buy side of a large order.

Can I level with you? I’m not always sure I know what people are talking about when they say algorithm? You’re not alone: Honestly, I haven’t always been sure what I meant when I said it either.

If an algorithm found, for example, that low income was correlated with high recidivism, it would leave you none the wiser about whether low income actually caused crime. But this is precisely ...

One of the key outcomes of functional misalignment in algorithm-mediated social learning is that people start to form incorrect perceptions of their social world. For example, recent research ...

Each of these models would be developed in SystemC. Most of these hardware peripherals would be respective algorithm implementation, for example up samplers, down samplers, data descrambling, crypto ...