AI scaling is hindered by fragmented enterprise infrastructure in a constantly shifting technology ecosystem. A new architectural paradigm of composable, sovereign AI can help enterprises move past pilot purgatory. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production. The bottleneck is not the models themselves. What's holding enterprises back is the surrounding infrastructure: Limited data accessibility, rigid integration, and fragile deployment pathways prevent AI initiatives from scaling beyond early LLM and RAG experiments. In response, enterprises are moving toward composable and sovereign AI architectures that lower costs, preserve data ownership, and adapt to the rapid, unpredictable evolution of AI--a shift IDC expects 75% of global businesses to make by 2027.

The latest Epstein Files release appears to contain hundreds of photographs along with court records and other materials. Over the weekend, the Justice Department released three new data sets comprising files related to Jeffrey Epstein . The DOJ had previously released nearly 4,000 documents prior to the Friday midnight deadline required by the Epstein Files Transparency Act . As with Friday's release, the new tranche appears to contain hundreds of photographs, along with various court records pertaining to Epstein. There are around 1,200 pages in all, including images WIRED is currently going through the materials and will update with more detail.

OpenAI's Child Exploitation Reports Increased Sharply This Year The company made 80 times as many reports to the National Center for Missing & Exploited Children during the first six months of 2025 as it did in the same period a year prior. OpenAI sent 80 times as many child exploitation incident reports to the National Center for Missing & Exploited Children during the first half of 2025 as it did during a similar time period in 2024, according to a recent update from the company. The NCMEC's CyberTipline is a Congressionally authorized clearinghouse for reporting child sexual abuse material (CSAM) and other forms of child exploitation. Companies are required by law to report apparent child exploitation to the CyberTipline. When a company sends a report, NCMEC reviews it and then forwards it to the appropriate law enforcement agency for investigation.

Eufy's last-season robot vacuum-mop has a crazy price cut. Grab it before it's gone. Robot vacuums have improved in nearly every feature, and that includes the price. While you can expect to pay anywhere between $1,000 to $1,500 for a brand-new, fully-featured robot vacuum mop, you can snag last year's models for pretty incredible prices. That includes our current best robot vacuum, which is last year's Eufy X10 Pro Omni .

The company upgrades its entire hardware line and launches a new AI-powered cross training service. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Do you remember whatever became of your old Peloton bike or tread? The at-home fitness company was one of the most famous casualties of the postpandemic bust.

Tokyo is seeking another record-busting defense budget -- including spending to build a drone "shield" to defend Japan's southwestern periphery -- amid rising concerns over the Chinese military's moves near and inside the country's waters and airspace. The Defense Ministry said Friday that it is seeking a budget exceeding 8.8 trillion ( 60 billion) for fiscal 2026, up 4.4% from last year's record 8.5 trillion initial request. The budget is the fourth in a five-year spending plan of around 43 trillion, as Japan zeroes in on its target of spending 2% of gross domestic product on defense by 2027. Most prominent in this year's request is a 128.7 billion plan to build a multilayered coastal defense system covering the air, sea, and waters that incorporates unmanned assets as well as strengthened standoff defense capabilities to attack from outside an enemy's range.

This paper proposes a method to find analogical images using given query images. Specifically, given four images a, b, c, and d, we would like to find a transformed version of c such that it is similar to the transformation from a to b when applied to d. This is an interesting problem and should be of interest to image recognition community in general because if images could be represented in a space (vectors in the proposed method), then such translation invariant representations could simplify the task of recognizing images thereby improving recognition accuracies. Although using analogical methods for image recognition is a relatively new topic in the visual domain, it has a well established history in NLP. For example, SAT word analogy questions have been used to evaluate the performance of analogy detection methods.

PC It starts with a single machine: a landing pod on an untouched planet. Then a drill, built with iron mined by your own hand. Hours later, the planet is covered in neat (or not) arrays of extractors and conveyor belts, machines whirring comfortingly as they create their infinite thingummies. Corporate strip-mining simulator it may be, but it's just so absorbing. PS4/5, PC, Nintendo Switch Like much of the best British comedy, this slapstick puzzle game is topped off with just a smattering of unease.

They say you learn more from failure than success. If so, this is the story for you: MIT Technology Review's annual roll call of the biggest flops, flimflams, and fiascos in all domains of technology. Some of the foul-ups were funny, like the "woke" AI which got Google in trouble after it drew Black Nazis. Some caused lawsuits, like a computer error by CrowdStrike that left thousands of Delta passengers stranded. And we also reaped failures among startups that raced to expand from 2020 to 2022, a period of ultra-low interest rates.

DeepMind's AlphaProof AI can tackle a range of mathematical problems An AI from Google DeepMind has achieved a silver medal score at this year's International Mathematical Olympiad (IMO), the first time any AI has made it to the podium. The IMO is considered the world's most prestigious competition for young mathematicians. Correctly answering its test questions requires mathematical ability that AI systems typically lack. In January, Google DeepMind demonstrated AlphaGeometry, an AI system that could answer some IMO geometry questions as well as humans. However, this was not from a live competition, and it couldn't answer questions from other mathematical disciplines, such as number theory, algebra and combinatorics, which is necessary to win an IMO medal.