How one matchmaker program is helping Arizona startups level up

As Arizona’s startup ecosystem continues to gain momentum, a persistent question kept popping up: How can early-stage ...
The Caledonian-Record

Envirotech Vehicles, Inc. Advances Into Execution Phase Following On-Site Engineering Validation of Modular AI & Power Infrastructure Initiative with AZIO AI

Operational review confirms technical readiness as EVTV transitions from planning to field execution ...
IEEE

Integrating Data-Driven and Knowledge-Driven Methodologies for Safety-Critical Scenario Generation in Autonomous Vehicle Validation

Abstract: Autonomous driving systems (ADS) enhance driving safety and efficiency but face significant challenges in safety-critical scenarios, necessitating thorough pre-deployment validation.
Dark Reading

Second Round of Critical RCE Bugs in n8n Spikes Corporate Risk

A new around of vulnerabilities in the popular AI automation platform could let attackers hijack servers and steal ...
Que.com on MSN

China-linked hackers deploy PeckBirdy JavaScript C2 framework since 2023

Since 2023, multiple security investigations have highlighted a growing trend in which China-linked threat actors ...
Cyber Daily

Roll for Data Security: Why you should absolutely run a tabletop cyber security exercise for your org in 2026

Cyber Daily recently took part in a tabletop cyber security roleplay session alongside several other journalists – the event was eye-opening, and taking part in one could be a game-changer for any ...
GitHub

Lightweight, Powerful JavaScript Nepali Date Picker with no dependencies.

2.1. Download the latest release Download and extract the zip file and copy the files from dist folder to your project. Disable on Today's Date Done Disable on Before Today's Date Done Disable on ...
IEEE

Machine Learning Based Data Validation for Signal Integrity and Power Integrity Using Supervised Time Series Classification

Abstract: A novel approach for the validation of data in signal integrity and power integrity using machine learning is proposed. This approach presents an alternative to the feature selective ...