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Mastering VNA control with Python tools

Vector Network Analyzers (VNAs) are essential in RF engineering, and Python has become a go-to language for automating their control, measurement, and analysis. From sending SCPI commands via PyVISA ...
Frontiers

Predictive Computational Models in Anesthesia and Coma

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...
IEEE

Model Predictive Control of Automated Vehicles Under Round-Robin Protocols and Refined Constant-Time-Headway Strategies

Abstract: The rapid development of intelligent connected vehicles has led to widespread attention for platooning control, which is an effective method to mitigate a variety of societal issues. This ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
TechCrunch

Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative

Anthropic on Tuesday released a preview of its new frontier model, Mythos, which it says will be used by a small coterie of partner organizations for cybersecurity work. In a previously leaked memo, ...
CNBC

Anthropic limits Mythos AI rollout over fears hackers could use model for cyberattacks

Anthropic announced Claude Mythos Preview, which it said is an advanced AI model that excels at identifying weaknesses and security flaws within software. Microsoft, Amazon, Apple, CrowdStrike, Palo ...
Hosted on MSN

Copilot transforms Excel with AI automation

Microsoft’s Copilot integration in Excel is reshaping how users clean data, build formulas, and generate insights, replacing manual steps with natural‑language automation. New capabilities like Agent ...
International Monetary Fund

Nowcasting Growth Using the Bayesian Structural Time Series Model: Application to Tanzania

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...
Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
Digital Trends

You can now use Gemini’s Thinking model without worrying about Pro model limits

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...
IEEE

Model-Free Predictive Current Control for Switched Reluctance Motor Drives Using Current Difference Technique

Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...