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 ...
eLife

Dynamic brain states during encoding and their post-encoding reinstatement predicts episodic memory in children

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
Computer Weekly

Khazna’s NexOps shift signals new operating model for AI-scale infrastructure

Managing director Bart Holsters explains why hybrid insourcing, competence assurance and sovereign readiness are becoming essential as artificial intelligence pushes datacentres to their limits.
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
IEEE

Egocentric Head Direction Encoding and Perception Model Based on an Adaptive Ring Attractor Network

Abstract: Head direction perception is a fundamental ability that enables humans and animals to navigate and orient themselves effectively in natural environments. In the era of embodied intelligence ...
IEEE

QSID-MPC: Model Predictive Control With System Identification From Quantized Data

Abstract: Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assisted ...