Author: Admin

As defense and national security organizations consider integrating AI into their operations, many acquisition teams are unsure of where to start. In June, the SEI hosted an AI Acquisition workshop. Invited participants from government, academia, and industry described both the promise and the confusion surrounding AI acquisition, including how to choose the right tools to meet their mission needs. This blog post details practitioner insights from the workshop, including challenges in differentiating AI systems, guidance on when to use AI, and matching AI tools to mission needs.This workshop was part of the SEI’s year-long National AI Engineering Study to identify…

Most 3D design software requires visual dragging and rotating—posing a challenge for blind and low-vision users. As a result, a range of hardware design, robotics, coding, and engineering work is inaccessible to interested programmers. A visually-impaired programmer might write great code. But because of the lack of accessible modeling software, the coder can’t model, design, and verify physical and virtual components of their system. However, new 3D modeling tools are beginning to change this equation. A new prototype program called A11yShape aims to close the gap. There are already code-based tools that let users describe 3D models in text, such…

Ireland’s transition to electrified mobility continues to strengthen, with two in five Irish consumers (40%) planning to purchase an electric vehicle (EV) in the next 24 months, according to new research from EY’s Mobility Consumer Index (MCI). The findings, which are based on over 500 Irish respondents in the global survey of 32 countries, reveal that environmental concerns (37%), lower running costs (31%), increased EV range (30%) and high fuel prices (27%) are the primary drivers behind Irish consumers’ growing interest in electrification. However, barriers still persist, with more than one-third (36%) citing uncertainty around charging and running costs as…

The current state of AIOps Despite the media frenzy surrounding Large Language Models (LLMs), actual adoption of AIOps in network management remains nascent. Recent surveys suggest that only about 15% of organizations have deployed AIOps tools. Jason points out that the hesitation stems largely from trust issues. Engineers are wary of “hallucinations,” where an AI might confidently provide false information, leading troubleshooters down the wrong path. Furthermore, data quality remains a significant hurdle. Many organizations possess years of unformatted legacy data that must be “massaged” before it can be effectively utilized by AI models. How to implement AIOps For network…

Teams building retrieval-augmented generation (RAG) systems often run into the same wall: their carefully tuned vector searches work beautifully in demos, then fall apart when users ask for anything unexpected or complex.  The problem is that they’re asking this similarity engine to understand relationships it wasn’t designed to grasp. Those connections just don’t exist. Graph databases change up that equation entirely. These databases can find related content, but they can also comprehend how your data connects and flows together. Adding a graph database into your RAG pipeline lets you move from basic Q&As to more intelligent reasoning, delivering answers based…

In the fast-paced world of automotive engineering, addressing design failures promptly and effectively is key to maintaining product quality and safety. Here’s a systematic approach to managing design failures: 1. Spotting the IssuesThe first move is to carefully review the design to identify where things went wrong. Collaboration with different departments is vital to gather various perspectives and ensure a comprehensive diagnosis.2. Report the ProblemAfter identifying the issue, it’s important to report it within the organization. This step ensures that everyone involved is informed and can contribute to a timely solution.3. Dive into AnalysisA deep dive into the failure is…

Last year, we launched the Amazon Elastic Compute Cloud (Amazon EC2) C8i instances, M8i instances, and R8i instances powered by custom Intel Xeon 6 processors available only on AWS with sustained all-core 3.9 GHz turbo frequency. They deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. Today we’re announcing new Amazon EC2 C8id, M8id, and R8id instances backed by up to 22.8TB of NVMe-based SSD block-level instance storage physically connected to the host server. These instances offer 3 times more vCPUs, memory and local storage compared to previous sixth-generation instances. These instances deliver up…

An investigation has tracked down a sophisticated scammer who posed as Dubai’s Crown Prince in a succesful plot to defraud a Romanian businesswoman out of over US $2.5 million.That in itself, sadly, is probably not that shocking a story. But what the Organised Crime and Corruption Reporting Project (OCCRP) discovered was that in this particular case the perpetrators presented themselves in the public eye as philanthropists, while secretly destroying victims’ lives.The victim, Laura (not her real name), was a successful Romanian businesswoman when she received a LinkedIn message three years ago from someone claiming to be the Crown Prince of…

Looq AI Unveils qPole for Smarter Engineering Decisions and Reliable Grid Modeling Shannon Bresnahan   |   Uncategorized On February 3, 2026, Cleantech San Diego member and Southern California Energy Innovation Network company Looq AI, a global leader in geophysical reasoning, announced the launch of qPole. The AI-enabled solution is designed to make the power grid more reliable and resilient by training AI models to understand utility poles the same way experienced engineers do, based on physical structure, geometry, materials, and real-world context.   The U.S. power grid consists of an estimated 180–200 million distribution poles—some aging, some in areas where extreme…

Texas Instruments, a global semiconductor company that designs, manufactures and sells analog and embedded processing chips, and Silicon Labs, a contributor in secure, intelligent wireless technology, has announced they have signed a definitive agreement under which Texas Instruments will acquire Silicon Labs for $231.00 per share in an all-cash transaction, representing a total enterprise value of approximately $7.5 billion. The acquisition will create a global leader in embedded wireless connectivity solutions by combining Silicon Labs’ strong portfolio and expertise in mixed signal solutions with Texas Instruments’ analog and embedded processing portfolio and internally owned technology and manufacturing capabilities. The combined company will accelerate growth by better serving existing and new customers…