Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Beyond Limits: Polarization Unlocks Scene-level 3D Imaging

SHANNON, CLARE, IRELAND, February 27, 2026 /EINPresswire.com/ -- Announcing a new publication from Opto-Electronic ...
Biometric Update

CMU-Africa researchers develop biometric PAD bias reduction methods and metrics

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
IEEE

A Time-Division-Based Constrained Multiobjective Optimization Method for Coal Mine Integrated Energy System Dispatch Problem

Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...
Scientific Research Publishing

Sharma, S. and Kumar, V. (2022) A Comprehensive Review on Multi-Objective Optimization Techniques: Past, Present and Future. Archives of Computational Methods in Engineering ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
IEEE

An Accelerated Distributed Proportional-Integral Method for Distributed Constrained Optimization

Abstract: This letter addresses the distributed constrained optimization problem over multi-agent networks, where a group of agents collaboratively minimizes the average of their locally held ...
GitHub

Implementing constrained optimization method simulated annealing

The total processing time of the first workpiece in the first machine can be obtained directly from the data set, that is, the $f(W_{1},1)$ function can be called. In ...