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Building scalable formulations through process optimization

Discover how early CMC, process optimization, and formulation strategy drive scalable, commercially viable drugs.

NBCUniversal’s AI-Driven Vision for Advertising at CES 2026

NBCUniversal CPO Ryan McConville joins the LA Times at CES 2026 to discuss AI-driven contextual ads, Total Impact Live, and ...
IEEE

Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model

Abstract: Motor efficient design is an important measure to reduce the energy consumption of servo motor system. Existing methods typically focus on optimizing the efficiency at specific operating ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Learn With Jay on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Scientific Research Publishing

Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach ()

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
IEEE

Unified Scheduling Model for High-Speed Train Timetable Optimization and Rescheduling Based on Deep Reinforcement Learning

Abstract: Train schedule consists of two major phases, train timetable optimization (TTO) and train timetable rescheduling (TTR), which are interconnected with each other and aim to maintain the ...