HART biometrics falsely flags 35% of travelers as fugitives, with Latino passengers facing 50% error rates despite DHS claims ...

Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

False-coloured optical photo of the quantum chip used in the experiment. These errors can be held at bay by building a ...

And our testing reveals that, much like last year's QN90D, the QN90F really struggles with blooming. A combination of Samsung ...

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

Abstract: Quantum Approximate Optimization Algorithm (QAOA) is a leading variational quantum algorithm for solving combinatorial optimization problems on near-term quantum devices. However, its ...

For the moment, noisy intermediate-scale quantum (named NISQ) device is the best option for quantum computation and this quantum research with tools of optimization ...

Through this joint effort, the companies seek to: support the development of a comprehensive compilation pipeline that maximises hardware performance by taking into account the hardware's ...