Author: Carter

Resetting passwords is typically the go-to reaction when a security breach is suspected. The logic is straightforward—changing login details rapidly blocks the intruder’s most direct way back into the system. Yet, this step alone may not resolve the problem entirely. Within Active Directory (AD) and hybrid Entra ID setups, updating a password doesn’t instantly render the old one useless across every method of authentication. Even a brief window gives potential attackers a chance to retain their access or regain entry. For IT administrators and security planners, this vulnerability carries significant weight during breach management. The password reset vulnerability Windows PCs…

According to RLWRLD, operating in real-world settings means understanding what action to take, keeping track of relevant information over time, and basing decisions on signals tied to the physical world. | Source: RLWRLD Last week, RLWRLD unveiled RLDX-1, a new foundation model designed with dexterity as its core focus. The company created this model to handle intricate industrial tasks in real-world scenarios using robotic hands with a high number of degrees of freedom (DoF). According to RLWRLD, current foundation models often fall short of key requirements—such as memory of context or the ability to sense force—needed to operate smoothly in…

Today’s large language models are no longer trained exclusively on raw text from the internet. More and more, companies are leveraging powerful “teacher” models to help train smaller or more efficient “student” models. This process, widely referred to as LLM distillation or model-to-model training, has become a crucial method for developing high-performing models with reduced computational costs. Meta utilized its massive Llama 4 Behemoth model to help train Llama 4 Scout and Maverick, while Google employed Gemini models during the development of Gemma 2 and Gemma 3. In a similar fashion, DeepSeek distilled reasoning capabilities from DeepSeek-R1 into smaller Qwen…

We automated the analysis and made the code available on GitHub. This project began when I attempted to replicate the paper “Learning Word Vectors for Sentiment Analysis” by Maas et al. (2011). At the time, I was finishing my final year of engineering school. My objective was to reproduce the study, critically examine the authors’ methodology, and, where possible, benchmark their approach against alternative word representation techniques, including those based on large language models. What stood out to me was the method’s simplicity and elegance. It reminded me of logistic regression in credit scoring: straightforward, interpretable, and remarkably effective when…

Michael Crosby, CEO of Leadership Connect, shares 10 key observations on how the federal contracting landscape is evolving. Michael Crosby May 11, 2026 4:50 pm 4 min read Editor’s note: This column is part of the Leadership Connect and Federal News Network content sharing partnership. This guide draws on more than 10 hours of in-depth interviews with senior procurement leaders spanning civilian, defense, and oversight agencies. Participants included contracting activity heads, chief information officers, IT directors, cybersecurity leads, and acquisition executives from organizations such as the Department of Defense, Air Force, the Department of Health and Human Services, the National…

Kingston IronKey Locker+50 G2 pros and cons Pros Military-grade encryptionBuilt-in brute-force protectionStarts at only $50. Cons USB-A connector, so it needs a dock or converter for modern systemsCap is easily lostNo lanyard. Follow ZDNET: Add us as a preferred source on Google.Transporting data on unencrypted drives is a recipe for disaster. Misplace the drive, and you don’t just lose the hardware—you hand over all your information to whoever picks it up. For businesses, this kind of loss can quickly lead to penalties and compliance issues. My advice? Anyone who relies on flash storage should switch to hardware-encrypted drives.With an encrypted…

As robots and humans increasingly work together on the factory floor, industrial automation is growing more sophisticated. This added complexity restricts the use of collaborative robots in labor-heavy operations, such as automotive trim and final assembly. Whenever a new vehicle model is introduced, production lines often need to be extensively reworked. Time is of the essence, and every setback comes with a hefty price tag. Digital twin technology offers engineers a powerful way to address this challenge. “In many respects, launching a new vehicle has turned into a race against the clock,” says Ali Ahmad Malik, Ph.D., an assistant professor…

  # Introduction  Imagine signing up for an online course, clicking through 40 slides, passing a quiz you Googled your way through, and receiving a certificate. Did you actually learn anything? This is the reality of most online learning platforms today. They track clicks, not comprehension. They measure completion, not capability. The good news? Artificial intelligence has made it possible to build learning systems that actually adapt to each person. Systems that know what you already understand, identify where you are struggling, and guide you toward mastery rather than just the finish line. In this tutorial, you will learn how to…

In brief Google’s Threat Intelligence Group has verified that hackers employed artificial intelligence to craft a zero-day exploit aimed at a widely used open-source web administration tool. Google noted this marks the first confirmed instance of AI-assisted zero-day development observed in real-world attacks. Google collaborated with the impacted vendor to fix the vulnerability before the attack campaign expanded, but cautioned that threat actors associated with China and North Korea are also actively leveraging AI for vulnerability research and exploit creation. Hackers utilized an AI model to uncover and exploit a zero-day vulnerability in a widely adopted open-source web administration tool,…

On Monday, Google revealed that it had detected an unidentified threat actor leveraging a zero-day exploit, which the company believes was likely created using an artificial intelligence (AI) system. This marks the first known instance of AI being used in the wild for malicious purposes, specifically for discovering vulnerabilities and generating exploits. The campaign is believed to be orchestrated by cybercriminal groups who appear to have joined forces to execute what Google referred to as a “mass vulnerability exploitation operation.” “Our examination of the exploits linked to this campaign uncovered a zero-day vulnerability embedded in a Python script that allows…