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Park Systems Corp., the world’s leading provider of atomic force microscopy (AFM) solutions, today announced the launch of the NX1 – a compact, high-performance AFM that delivers atomic resolution imaging in ambient conditions. Developed in collaboration with Prof. Franz J. Giessibl of the University of Regensburg, one of the world’s foremost authorities on atomic resolution AFM, the NX1 brings a class of imaging performance previously confined to ultra-high vacuum environments into the reach of research labs worldwide.  (Left to right) Prof. Franz J. Giessibl (University of Regensburg) and Dr. Sang-il Park (Founder & CEO, Park Systems). Image Credit: Park Systems…

Experimentation and validation of LLM performance is critical when building LLM-driven systems that must reliably deliver a service, from customer service chat bots to intelligence analysis tools. To help teams meet the need for rigorous evaluation methods, researchers in SEI’s AI Division developed the Expanding Large Language Model Metrics (ELM) library built on best practices for LLM evaluation and benchmarking.In this blog post, we provide a tutorial for using the ELM library, a set of extensible, customizable tools designed to make LLM evaluations repeatable, explainable, and consistent. The ELM library enables the following:full customization: write your own prompts and assessments…

Fandom Con, one of Northern Ireland’s leading gaming conventions specifically designed for and organised by individuals with autism and neurodiverse conditions, is set to return for its fourth year on Saturday 23rd May at ICC Belfast, with over 2,000 attendees expected from across the island of Ireland. Located just two hours from Dublin, the event is expected to attract visitors from both Northern Ireland and the Republic of Ireland. Following the overwhelming success and demand in 2025, this year Fandom Con is returning to the ICC Belfast. Organised by participants from NOW Group, a social enterprise supporting people who are autistic,…

As enterprise AI agent adoption scales, the absence of centralized, organization-level tool infrastructure is producing compounding costs. When adoption is built around optimizing for deployment speed, enterprises expose themselves to a combination of risks: duplicated engineering effort, security exposure, and operational opacity.Every enterprise needs its own shared tool registry, one that reflects its specific regulatory environment, security posture, and operational conventions. To be clear, this is not an argument for a public package manager, something like npm, PyPI, or Maven. The infrastructure each enterprise needs is internal; scoped to its own teams, its own data, its own policies, its own…

As artificial intelligence continues to redefine how organizations operate and compete, leadership expectations are evolving accordingly.  Recent insights from the Upskilling Trend Report show that 69% of professionals report AI-driven disruption in their roles, while 78% remain optimistic about its impact.  Further, 85% consider upskilling essential to future readiness, with 44% identifying AI and Machine Learning as priority areas for growth.  In this context, executives must move beyond a conceptual understanding of AI and develop the ability to apply it across business strategy, marketing, and technology functions.  This blog presents a curated selection of executive programs designed to build such…

Memory shapes how humans think and how AI agents act. Without it, an agent only responds to the current input; with it, it can keep context, recall past actions, and reuse useful knowledge. AI memory spans short-term, episodic, semantic, and long-term memory, each with different design trade-offs around storage, retention, retrieval, and control. In this article, we’ll explore agent memory patterns, a practical bridge between cognitive science and AI engineering. What Agent Memory Means Agent memory is the ability of an AI agent to store information, recall it later, and use it to improve future responses or actions. It allows…

If you’ve spent any time at SOF Week, you know the drill. It’s the premier global gathering for the Special Operations community. For one week, it’s a sea of high-speed gear: automated dogs, C-UAS platforms, and optics that turn night into high-definition day. It’s impressive, and it’s the kind of stuff that reminds you why we do what we do. And yeah… we’ll be right there with everyone else, quietly admiring it, probably drooling over it a little.  But in that sea of kinetic hardware, there’s a small contingent of us…the nerds. The ones focused less on the automated dogs, C-UAS platforms, and next-generation optics, and more on the invisible infrastructure underneath it all — the networking and security architecture that allows those systems…

Cybersecurity researchers have disclosed a critical security vulnerability in Ollama that, if successfully exploited, could allow a remote, unauthenticated attacker to leak its entire process memory. The out-of-bounds read flaw, which likely impacts over 300,000 servers globally, is tracked as CVE-2026-7482 (CVSS score: 9.1). It has been codenamed Bleeding Llama by Cyera. Ollama is a popular open-source framework that allows large language models (LLMs) to be run locally instead of on the cloud. On GitHub, the project has more than 171,000 stars and has been forked over 16,100 times. “Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF…

JLL Partners with VECKTA to Accelerate Distributed and Onsite Energy Deployment at Scale On April 28, 2026, JLL’s Energy Advisory practice announced a strategic collaboration with Cleantech San Diego member and Southern California Energy Innovation Network company VECKTA, the world’s first onsite energy intelligence platform and marketplace, to provide commercial real estate (CRE) owners and occupiers a fully integrated path from energy strategy through competitive procurement and contract execution. The arrangement brings together JLL’s proven energy advisory expertise and extensive client relationships with VECKTA’s innovative technology platform and expertise to help commercial and industrial clients deploy distributed energy projects, including…

The Robots-to-Goods (R2G) model comprises of robotic systems, like Locus Array, executing fulfilment tasks in the aisle by going directly to the inventory. R2G means 100% automation with multiple workflows embedded in the robot, without needing human support. Locus Array and other systems like it can be assigned tasks in real time, unlike traditional systems that move stock manually through fixed, step-by-step processes. Locus Array reduces travel and ensures continuous SKU availability is maintained. It’s been designed to scale in warehouse environments that change layouts. In high-density storage that offer up to twice the storage density of manual operations, it…