According to Battacharya, much of the currently proposed, state-of-the-art hardware for solving these kinds of issues are limited to second-order problems. The main benefit of their hardware, he noted ...

Interestingly, in this latest study, DeepMind researchers found "Take a deep breath and work on this problem step by step" to be the most effective prompt when used with Google's PaLM 2 language ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

The researchers write, “Instead of formally defining the optimization problem and deriving the update step with a programmed solver, we describe the optimization problem in natural language ...

A paper describing their work, "Computing High-degree Polynomial Gradients in Memory," appears in the journal Nature ...

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.

London, June 5, 2024 – Quantum infrastructure software company Q-CTRL today announced published results. that the company says demonstrate a boost of more than 4X in the size of an optimization ...

Scientists in Iran have developed a novel framework to optimize the capacity of PV and battery storage in smart homes, using a two-stage stochastic programming model. They considered the uncertainties ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.