An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to minimize ...

In CHES2021, Chen et al. optimized BIKE on the ARM Cortex-M4, using the Frobenius Additive FFT as the polynomial multiplication algorithm. However, although HQC was finally selected as a standard ...

ICE is using no-bid contracts, boosting big firms, to get more detention beds The federal government has signed a deal with the private prison firm CoreCivic Corp. to reopen a 1,033-bed prison in ...

Nine-year-olds in England sit timed multiplication test—but using times tables is about more than quick recall by Camilla Gilmore, Lucy Cragg, Natasha Guy, The Conversation ...

However, if d is large, the runtime of the naive algorithm will require a lot of computations, and thus increase the runtime of the algorithm drastically. In this project, we implement the Karatsuba ...

This algorithm wasn’t supposed to keep people in jail, but it does in Louisiana Louisiana inmates seeking parole are discovering that their fate will be decided not by humans – but by an ...

For example, approximating floating point multiplication with integer addition, as [Malte Skarupke] recently had a poke at based on an integer addition-only LLM approach suggested by [Hongyin Luo ...

Kaiser accused of illegally using clerical staff, algorithms to triage suicidal patients The complaint over the practice comes amidst an ongoing strike by thousands mental health care workers now ...

Portland’s City Council is considering a ban on the use of algorithms to set rents, a practice that’s grown common among landlords who subscribe to real estate data services but which critics ...

Automated reduction-in-force software, developed by the US government decades ago, may be behind how federal employees are being laid off.

For well over a decade, jihadist violence has plagued the Sahel, a semi-arid belt stretching along the Sahara desert's southern rim from the Atlantic to the Red Sea.

TabPFN learns causal relationships from synthetic data and is therefore more likely to make correct predictions than the standard algorithms that have been used up to now.