TMCnet

Marketeam.ai Unveils RL-KPI at NVIDIA GTC: Breakthrough AI Training Method Extends Deterministic Reward Learning to Non-Deterministic Business Outcomes

On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
IEEE

End-to-End Deterministic Network Slicing: A Profit-Driven Optimization Framework with Domain-Specific Algorithms

Abstract: With the rapid evolution of 5G/6G networks, deterministic services such as the Industrial Internet, vehicular communications, and immersive applications impose stringent end-to-end (E2E) ...
GitHub

torch.compile generated wrong graph when tracing torch.use_deterministic_algorithms

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...
Scientific Research Publishing

Buhrman, H. and de Wolf, R. (2002) Complexity Measures and Decision Tree Complexity: A Survey. Theoretical Computer Science, 288, 21-43.

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Scientific Research Publishing

Moshkov, M.J. (2005) Time Complexity of Decision Trees. In: Peters, J.F. and Skowron, A., Eds., Transactions on Rough Sets III, Springer, 244-459.

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Semiconductor Engineering

Using High-Quality Deterministic Patterns For In-System/In-Field Testing

Logic BIST (LBIST) is a well-stablished traditional solution for meeting automotive testing standards. However, using pseudo-random LBIST patterns can be challenging when trying to achieve ...
acm.org

An Algorithm for a Better Bookshelf

Drop in at a library, and you’ll likely notice that most shelves aren’t full—librarians leave some empty space on each shelf. That way, when they get new books, they can slot them into place without ...
EurekAlert!

Deterministic streaming algorithms for non-monotone submodular maximization

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
Nasdaq

MicroAlgo Inc. Launches Enhanced Quantum Information Hiding and Transmission System Integrating LSQb Algorithm with Quantum Encryption Technology

MicroAlgo Inc. announced the integration of its quantum image LSQb algorithm with quantum encryption technology to create a new system for secure information hiding and transmission. This innovative ...