Over the past decade, fuzzers have become the most widely used tools to test software security and robustness. Generating ...

For many aspects of an EDA flow, hallucinations from AI are not really that serious, because that is no worse than engineers on a Friday afternoon.

In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on ...

In this paper, a novel policy iteration adaptive dynamic programming (ADP) algorithm is presented which is called “local policy iteration ADP algorithm” to obtain the optimal control for discrete ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

For example, algorithms purporting to assess a criminal’s risk of re-offending are currently determining sentencing and parole for many prisoners, even though a study by ProPublica found that a ...

According to CIO’s State of the CIO Survey 2025, 42% of CIOs say AI and ML are their biggest technology priority for 2025. And while actions driven by ML algorithms can give organizations a ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Abstract AI researchers typically formulated probabilistic planning under uncertainty problems using Markov Decision Processes (MDPs).Value Iteration is an inef?cient algorithm for MDPs, because it ...