Understanding the role of linear ubiquitination in T-tubule biogenesis

Transverse tubules (T-tubules) play a significant role in muscle contraction. However, the underlying mechanism of their ...

NBCUniversal, RPA, FreeWheel, and Newton Research Introduce Agentic AI Buying Across Linear and Digital for Premium Video

Today NBCUniversal, independent agency RPA, FreeWheel, and Newton Research announced a partnership to introduce a breakthrough approach to buying premium video using agentic AI across both linear and ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
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 ...
TV News Check on MSN

Dan Aversano named CEO of DatafuelX

DatafuelX, an analytics and technology company powering multi-currency, cross-platform video optimization, today appointed Dan Aversano chief executive officer. Aversano brings more than 20 years of ...
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

Delay and Load Fairness Optimization With Queuing Model in Multi-AAV Assisted MEC: A Deep Reinforcement Learning Approach

Abstract: Autonomous aerial vehicles (AAV) can alleviate the computational burden on edge devices through assisted computing. However, with the increase in the number of Internet of Things Devices ...

From equations to intelligence: the future of AI-driven computational mechanics

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...