Tech Xplore on MSN

AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
Infectious Disease Advisor

Influenza Forecasting Enhanced Using AI, ML to Integrate Surveillance Systems

Influenza forecasting may be enhanced using AI/ML models that identify and integrate key attributes of existing influenza ...

Silicon Valley Bets on Reinforcement Learning Environments: A New Paradigm for AI Agent Training and Future Challenges

In recent years, with the rise of the AI agent concept, tech giants in Silicon Valley have been investing in environmental technology, aiming to provide a more robust training platform for AI agents.
CU Boulder News & Events

Ensuring Robustness in Training Set Based Global 21-cm Cosmology Analysis

Abstract: We present a methodology for ensuring the robustness of our analysis pipeline in separating the global 21-cm hydrogen cosmology signal from large systematics based on singular value ...

Implementing CSA for GxP Systems: Transition, Documentation, and Post-Transition Challenges and Opportunities - 2 Day Online Training, Oct 16th - Oct 17th, 2025

The main market opportunities lie in adapting FDA-regulated computer system validation methods to align with GAMP®5 Second Edition and CSA, embracing innovative technologies like AI, ML, and ...

Tencent Applies for AI Feature Extraction Model Patent to Assist in Expanding Training Samples for Large Models

Co., Ltd. applied for a patent titled "Feature Extraction Model Processing Method, Device, Computer Equipment, and Storage Medium," triggering a new wave of attention in the industry towards ...
TrainingZone

Make it stick: Why learners can’t recall your training session – and how to fix it

Is your training session not leading to the desired behaviour change among learners? Amy Brann, author of ‘Make Your Brain ...