Author: Carter

“` Stephen Ferrara, who serves as principal deputy assistant secretary of defense for health affairs, views health information technology as something far bigger than just code and hardware. “It’s a tool, an interface, a way to engage patients, and a force multiplier,” Ferrara explained. “More than anything, it gives our service members a way to carry their health care journey forward seamlessly when they transition to the VA.” This broad perspective is fueling a wave of fast-paced change across the Military Health System — and Ferrara emphasizes that it centers on people just as much as it does on systems.…

By Marc Kavinsky, Senior Editor at IoT Business News Telenor IoT and Sateliot have joined forces to give off-the-shelf NB-IoT devices the ability to roam between traditional cellular networks and Sateliot’s Low Earth Orbit satellite constellation. This partnership tackles one of the industry’s longest-lasting headaches: keeping devices online once they venture past the reach of standard mobile infrastructure. For most IoT rollouts, linking up assets in urban centers, manufacturing plants, or along busy highways is straightforward. The real challenge kicks in when sensors head off the beaten path into dead zones—offshore waters, mountain ranges, far-flung agricultural plots, industrial complexes, oil…

PeterPhoto123 via ShutterstockFollow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways Lightwell represents a massive push to protect open-source software.IBM and Red Hat are pouring resources into this sweeping security effort. The exact mechanics of this paid subscription service remain unclear for now. AI presents a double-edged sword for open-source software. While it enables developers to code more rapidly and detect issues sooner, it also floods maintainers with a relentless stream of security alerts that could involve critical flaws.  Daniel Steinberg, who created and oversees the widely-used open-source data transfer tool cUTF, recently shared his experience: “Security reports…

TL;DR A fully functional Python implementation, accompanied by benchmark data from a local environment. RAG systems don’t just fail on quality—they can also become costly and inefficient in ways that aren’t always obvious. Each additional token retrieved comes with a price tag. In my system, context over-fetching ran 3–8 times higher than what the queries actually needed. Many standard implementations process identical queries from scratch each time, without reusing any prior results. In setups using a single model, a large portion of straightforward queries get sent to expensive high-end models, even when cheaper alternatives could handle them just as well.…

Key Takeaways When asked to verify 1,000 real-world claims, five cutting-edge AI models reached conflicting conclusions 67% of the time. Complete consensus among all models was achieved on just 328 out of the 1,000 claims. With a Krippendorff’s alpha score of 0.639, the models failed to meet the 0.8 threshold typically required for reliable inter-rater consistency. Pose the same fact-checking question to five of the world’s most advanced AI systems, and roughly two-thirds of the time, you’ll receive contradictory responses. That’s the central finding from a May study conducted by Kosta Jordanov of Lenz Research. The participating models—GPT-5.4, Claude Opus…

Cybersecurity experts have uncovered a weakness in OpenAI’s ChatGPT. This flaw takes advantage of the AI’s built-in trust in Markdown links and images. It allows hackers to inject malicious prompts, creating a gateway for phishing attacks. This specific method has been labeled ChatGPhish by researchers at Permiso Security. “The chatgpt.com response renderer automatically trusts Markdown links and image URLs that come from external web pages the assistant has just summarized. It auto-downloads those images and turns those links into live, clickable buttons within the trusted assistant interface,” explained security researcher Andi Ahmeti in a report provided to The Hacker News.…

Over the past several years, Army leaders have repeatedly pointed out that connecting the service’s diverse array of systems is far more challenging than it needs to be, often leaving soldiers to handle integration themselves once they arrive in the field with their equipment. However, the service has recently begun piloting a new strategy designed to overhaul this outdated model. The approach, informally dubbed “Operation Jailbreak,” encourages contractors to deliberately bypass proprietary barriers within their own platforms — either by building new connections between systems or by exposing previously locked-down interfaces the Army hasn’t had access to before. As the…

Adrian Kingsley-Hughes/ZDNETFollow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways Solar generators can help during weather emergencies. Prepare your setup before an emergency hits. Severe weather events are becoming more common.Solar-powered generators are growing in popularity. More and more households have started using them for a wide range of purposes — from cutting electricity costs through solar energy to building a dependable power supply that can handle the rising frequency of severe weather emergencies we now face.Recently, I came across reports suggesting that a strong El Niño event could affect us this year.Also: How I boosted my…

OpenAI’s most recent governance guidelines provide executives a clear, step-by-step guide for expanding trustworthy, regulation-friendly AI systems worldwide.The shift toward adopting large language models has gradually moved toward demanding robust, enterprise-ready infrastructure. OpenAI has unveiled its Frontier Governance Framework (FGF), laying out how the organization handles large-scale risk identification and reduction.This framework aligns closely with the EU’s General-Purpose AI Code of Practice and California’s Transparency in Frontier AI Act, referred to as the TFAIA. The document delivers a hands-on reference, specifying how internal processes and deployment workflows can be designed to safely support advanced machine learning models.Bridging regulatory requirements with…

get_html_file const result = await classifier(‘This product totally blew me away.’); // [{ label: ‘POSITIVE’, score: 0.9997 }]   The output is a single-element array. Inside that element are two values: label (the predicted category as text) and score (a decimal from 0 to 1 indicating how sure the model is). A value like 0.9997 means the model is extremely confident. A value around 0.52 means it is barely above the cutoff — treat that as a guess and add appropriate handling in your code. The result is always wrapped in an array, even when you submit just one piece…