Author: Carter

Coding agents are great at building software. But to deploy to production they need three things from the cloud they want to host their app — an account, a way to pay, and an API token. Until now these have been tasks that humans handle directly. Increasingly, agents handle them on the user’s behalf. The agent needs to perform all the tasks a human customer can. They’re given higher-order problems to solve and choose to use Cloudflare and call Cloudflare APIs.Starting today, agents can provision Cloudflare on behalf of their users. They can create a Cloudflare account, start a paid subscription,…

Cesar Cadenas/ZDNETFollow ZDNET: Add us as a preferred source on Google.Motorola announced a lineup of new smartphones earlier in the year, but attention was primarily focused on the Razr Fold. I was curious about the additional gadgets and was finally given an update. The remaining 2026 Razr lineup has been formally unveiled, consisting of the entry-level variant, the Razr+, and the Razr Ultra as the new premium offering. Also: Why I recommend this $450 Samsung phone over competing models by Google and OnePlusLooking at preliminary specs, the Razr Ultra appears to be a compelling foldable option. Motorola has implemented numerous…

“`xml In the fields of data science and computational statistics, most researchers have concentrated on using machine learning techniques for identifying anomalies. There are three primary methods for detecting anomalies: Supervised: The training dataset is labeled and contains both normal and anomalous data. Clean semi-supervised: The training dataset contains only normal data, whereas the test dataset includes anomalies. Unsupervised: The training dataset is unlabeled and includes both normal and anomalous data. Supervised techniques treat anomaly detection as a binary classification task (normal versus anomaly). They utilize labeled datasets to train models that differentiate between standard and unusual data. This method…

Reviving stalled enterprise AI projects across the EMEA region demands that CIOs conduct thorough, no-holds-barred audits of their existing technology systems.In the last year and a half, AI initiatives throughout Europe progressed well beyond the experimental stage. Organisations invested heavily in large language models and machine learning platforms, anticipating sweeping improvements in operations. However, according to IDC research, company boards are now hitting the brakes, cutting scope, or redirecting these efforts entirely.This pullback is driven by implementation shortcomings and financial accountability — not by a decline in enthusiasm for the technology itself. Juggling competing IT priorities and broader economic instability…

Quick summary OpenAI is being sued over claims that ChatGPT was connected to a mass shooting at a school in British Columbia that took place in February. The complaint alleges that OpenAI’s safety division had pushed for the company to contact law enforcement several months prior to the attack. This lawsuit may set a legal precedent on whether artificial intelligence firms are obligated to report violent threats to authorities. A new lawsuit has been filed against OpenAI, claiming the company neglected to alert police after it was established that ChatGPT was tied to one of the worst school shootings in…

As Amazon marks two decades of its AWS cloud platform this year, the world’s largest cloud provider finds itself grappling with two massive cybersecurity challenges on the horizon — artificial intelligence and quantum computing. How AWS plans to tackle these emerging risks to protect the systems relied upon by millions of business customers is still a work in progress. However, top AWS executives are confident that critical choices and technological breakthroughs made over the company’s 20-year history have prepared it well for these challenges. Here’s an exploration of three pivotal AWS innovations and how they relate to the threats the…

[Submitted on 27 Apr 2026] Authors:NVIDIA: Amala Sanjay Deshmukh, Kateryna Chumachenko, Tuomas Rintamaki, Matthieu Le, Tyler Poon, Danial Mohseni Taheri, Ilia Karmanov, Guilin Liu, Jarno Seppanen, Arushi Goel, Mike Ranzinger, Greg Heinrich, Guo Chen, Lukas Voegtle, Philipp Fischer, Timo Roman, Karan Sapra, Collin McCarthy, Shaokun Zhang, Fuxiao Liu, Hanrong Ye, Yi Dong, Mingjie Liu, Yifan Peng, Piotr Zelasko, Zhehuai Chen, Nithin Rao Koluguri, Nune Tadevosyan, Lilit Grigoryan, Ehsan Hosseini Asl, Pritam Biswas, Leili Tavabi, Yuanhang Su, Zhiding Yu, Peter Jin, Alexandre Milesi, Netanel Haber, Yao Xu, Sarah Amiraslani, Nabin Mulepati, Eric Tramel, Jaehun Jung, Ximing Lu, Brandon Cui, Jin Xu,…

Terry Gerton Not long ago, the Government Accountability Office shared insights with Congress on reducing fraud in federal programs managed by states. One detail really stood out to me. GAO has proposed over 200 suggestions to improve fraud prevention, yet many of these recommendations remain unimplemented. Why is tackling fraud in these programs proving so challenging? Seto Bagdoyan That’s an excellent and long-standing question. Much of it starts with leadership priorities. In my testimony, I emphasized that at the core, there’s often unwillingness to admit fraud exists. Without that recognition, nothing else moves forward. It takes focused leadership to build…

This episode of IoT Unplugged features Dr Matthew Carr, Co-founder of Luffy, discussing neuroplastic AI, a next-gen type of artificial intelligence created to learn from very little data and operate on small devices. Carr points out that neuroplastic AI is gradually transitioning from academic research facilities to factories, warehouses, and industrial setups where it could transform the economics of industrial automation by integrating adaptive intelligence straight into machinery. Carr’s journey into AI is unique. Having originally studied engineering and physics, his career included work on renewable energy systems before transitioning to nuclear fusion research at the Joint European Torus (JET),…

When the Project CETI glider surfaces periodically, it communicates with the research team. | Source: Project CETI, David Gruber The Cetacean Translation Initiative, commonly referred to as Project CETI, announced yesterday that it is partnering with French robotics developer Alseamar to deploy underwater gliders that track sperm whales by listening to their vocalizations. The team also released a peer-reviewed study detailing its latest findings. Until now, Project CETI has relied on several different technologies to monitor whale movements, including deploying buoys or boats to gather data and attaching tags to whales via drones. With the addition of the underwater glider,…