Security researchers at Radware say they've identified several vulnerabilities in OpenAI's ChatGPT service that allow the exfiltration of personal information. The flaws, identified in a bug report ...

The goal of the course is to improve programming and problem-solving skills of the students by facing them with difficult problems and by presenting the techniques that help their reasoning in the ...

Abstract: Many optimal control problems include a continuous nonlinear dynamic system, state, and control constraints, and final state constraints. When using dynamic programming to solve such a ...

We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...

Abstract: A stochastic resource allocation model, based on the principles of Markov decision processes ( MDPs ) , is proposed in this paper. In particular, a general-purpose framework is developed, ...

In the ideal world, software developers would analyze each problem in the language of its domain and then articulate solutions in matching terms. They could thus easily communicate with domain experts ...

Reliable preparation of entanglement between distant systems is an outstanding problem in quantum information science and quantum communication. In practice, this has to be accomplished by noisy ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...