An interesting design decision for our particular case is where a particular computational capability should reside, in the front end that is seen by the user or in the computational engine that does the "heavy
AsianFin : What exactly do you mean by "non-traditional"? Wang: It's the new AI, end-to-end. It means there's no need for manually writing too many software programming rules in the middle, nor do we need to rely on traditional image recognition methods. AsianFin : How is this ach...
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In the continuation of this article, we will present a short survey of the state-of-the-art approaches for functional information quantification (FIQ) and potential shortcomings thereof. By having in mind the expounded challenges of the current approaches, we will then devise a new measure that ...
The most exciting part of the jam is always the final showcase on Sunday evening. This year we had fifteen different solo jammers and teams present their work. Some jammers polished projects they had already started, others started something completely new, and one team chose hard mode and mad...
The event is aimed at sharing Practical Ideas and discussing Best Case Examples focusing latest development in Pipeline Design & Construction, Integrity Management, maintenance of Aging Pipelines, Leak Detection & Theft Issues, Real-Time Monitoring of Pipeline Health & Safety, and any other new techno...
The abstract foundation of the book concerning functional analysis, special issues on Sobolev type function scales, and elliptic and parabolic regularity in case of non-smooth data, is already solid. However, the culminating last part of the book is still under discussion and editing. There, it ...
intellectual task a human can perform. Unlike narrow AI, AGI generalizes learning across multiple domains and applies reasoning to new, unfamiliar problems. A true AGI system could diagnose diseases, compose symphonies, and design complex engineering systems—all without task-specific programming7,9,53...
- Case studies of real-world GPU applications - GPU applications in scientific computing, machine learning, large language models, graphics, and emerging field (e.g., quantum, neuromorphic, bioinformatics and genomics) - Performance comparisons between GPU and other parallel computing platforms ...
Any of these examples, and many more, could be used to make the case, but here, we will focus on one of the key physics problems in fusion research, namely how to quantify and predict turbulent transport in magnetic confinement experiments25,26. The quest for fusion energy is based on ...