Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Abstract: Resource scheduling, job sequencing, and assigning them to available resources are the most critical issues in manufacturing systems, such as flexible job-shop systems. In addition, ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Abstract: A bilevel stochastic programming problem (BSPP) model of the decision-making of an energy hub manager is presented. Hub managers seek ways to maximize their profit by selling electricity and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The package bLSmodelR provides functions to run a backward Lagrangian stochastic (bLS) dispersion model with the R programming language. Results from bLSmodelR are consistent with results from the ...

In March 2021, a group of four researchers—a collaboration of linguists and computer scientists—published their now legendary ...

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Fable 5 engineer Thariq Shihipar says your blind spots, not the model, now cap results. Anthropic research on 400,000 Claude ...

In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent ...

A growing number of AI labs have been hiring from a surprising pool of candidates: philosophers. NPR's Scott Detrow talks ...