Tech
New testing scheme could work for chips and clinics
Diagnostic testing is big business. The global market for testing semiconductors for defects is estimated at $39 billion in 2025. For medical lab tests, the market is even bigger: $125 billion.
Both kinds of tests have something in common, says Rohan Ghuge, assistant professor of decision science in the information, risk, and operations management department at Texas McCombs. They involve complex systems with vast numbers of components, whether they’re evaluating computer chips or human bodies.
New research from Texas McCombs suggests a new approach to testing complex systems that might save time by eliminating some unnecessary and expensive steps. “Nonadaptive Stochastic Score Classification and Explainable Half-Space Evaluation” is published in Operations Research.
Currently, a common shortcut is to conduct sequences of tests. Instead of testing every component—which isn’t practical for complex systems—a clinician might test certain components first. Each round rules out some possible problems and sets up a new round of tests.
That approach has time-consuming drawbacks, Ghuge says. “First, you might check the vital signs. Then, you come back the next day and do an ECG [electrocardiogram], then we do blood work, step by step. That’s going to take a lot of time, which we don’t really want to waste for a patient.”
What if, he wondered, a single round of tests could provide the most critical information in a fraction of the time? What if the same protocol could prove useful for chips or in clinics?
“We want something that’s highly scalable, deployable, and uniform,” he says. “You need to have it in a way that can be deployed on thousands of kinds of chips, or a first step that you give to clinicians for every patient of that kind.”
Merging success and failure
The key, Ghuge theorized, was to choose a small number of tests that could quickly classify a system’s risk level: low, medium, or high. With Anupam Gupta of New York University and Viswanath Nagarajan of the University of Michigan, he set out to design such a protocol.
Their solution was to combine two sets of tests with opposite goals. One set diagnoses whether a system is working, while the other diagnoses whether it’s failing. Together, they can provide a snapshot of risk.
“You create two lists, say, a success list and a failure list,” Ghuge says. “You combine a fraction of the first list and a fraction of the second list. You want to come up with a single batch of tests that tell you at the same time whether the system is working or failing.”
An existing medical example, he says, is the HEART Score. It rates five factors, such as age and ECG results, to quickly assess the risk that a patient with chest pain will have a major cardiac event within six weeks.
In simulations, Ghuge tested his algorithm against a sequential one on the same sets of data. His got results over 100 times as fast as the sequential algorithm, at a cost that averaged 22% higher.
“The tests are a bit more costly,” he says. “The trade-off is that you can get them done a lot faster.”
But he also notes that a single batch of tests might reduce setup costs, he says, compared with the expenses of setting up one test after another.
A next step, Ghuge hopes, is to try out his algorithm on real-life testing. A broadband internet network, such as Google Fiber or Spectrum, might use it for daily testing, to rapidly diagnose whether a system or subsystem is working.
“I come from a more theoretical background that focuses on the right model,” he says. “There’s a gap between that and applying it in practice. I’m excited to speak with people, to talk to practitioners and see if these can be applied.”
More information:
Rohan Ghuge et al, Nonadaptive Stochastic Score Classification and Explainable Half-Space Evaluation, Operations Research (2025). DOI: 10.1287/opre.2023.0431
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New testing scheme could work for chips and clinics (2025, November 6)
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Tech
OpenAI’s Child Exploitation Reports Increased Sharply This Year
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.
Statistics related to NCMEC reports can be nuanced. Increased reports can sometimes indicate changes in a platform’s automated moderation, or the criteria it uses to decide whether a report is necessary, rather than necessarily indicating an increase in nefarious activity.
Additionally, the same piece of content can be the subject of multiple reports, and a single report can be about multiple pieces of content. Some platforms, including OpenAI, disclose the number of both the reports and the total pieces of content they were about for a more complete picture.
OpenAI spokesperson Gaby Raila said in a statement that the company made investments toward the end of 2024 “to increase [its] capacity to review and action reports in order to keep pace with current and future user growth.” Raila also said that the time frame corresponds to “the introduction of more product surfaces that allowed image uploads and the growing popularity of our products, which contributed to the increase in reports.” In August, Nick Turley, vice president and head of ChatGPT, announced that the app had four times the amount of weekly active users than it did the year before.
During the first half of 2025, the number of CyberTipline reports OpenAI sent was roughly the same as the amount of content OpenAI sent the reports about—75,027 compared to 74,559. In the first half of 2024, it sent 947 CyberTipline reports about 3,252 pieces of content. Both the number of reports and pieces of content the reports saw a marked increase between the two time periods.
Content, in this context, could mean multiple things. OpenAI has said that it reports all instances of CSAM, including uploads and requests, to NCMEC. Besides its ChatGPT app, which allows users to upload files—including images—and can generate text and images in response, OpenAI also offers access to its models via API access. The most recent NCMEC count wouldn’t include any reports related to video-generation app Sora, as its September release was after the time frame covered by the update.
The spike in reports follows a similar pattern to what NCMEC has observed at the CyberTipline more broadly with the rise of generative AI. The center’s analysis of all CyberTipline data found that reports involving generative AI saw a 1,325 percent increase between 2023 and 2024. NCMEC has not yet released 2025 data, and while other large AI labs like Google publish statistics about the NCMEC reports they’ve made, they don’t specify what percentage of those reports are AI-related.
Tech
The Doomsday Glacier Is Getting Closer and Closer to Irreversible Collapse
Known as the “Doomsday Glacier,” the Thwaites Glacier in Antarctica is one of the most rapidly changing glaciers on Earth, and its future evolution is one of the biggest unknowns when it comes to predicting global sea level rise.
The eastern ice shelf of the Thwaites Glacier is supported at its northern end by a ridge of the ocean floor. However, over the past two decades, cracks in the upper reaches of the glacier have increased rapidly, weakening its structural stability. A new study by the International Thwaites Glacier Collaboration (ITGC) presents a detailed record of this gradual collapse process.
Researchers at the Centre for Earth Observation and Science at the University of Manitoba, Canada, analyzed observational data from 2002 to 2022 to track the formation and propagation of cracks in the ice shelf shear zone. They discovered that as the cracks grew, the connection between the ice shelf and the mid-ocean ridge weakened, accelerating the upstream flow of ice.
The Crack in the Ice Shelf Widens in Two Stages
The study reveals that the weakening of the ice shelf occurred in four distinct phases, with crack growth occurring in two stages. In the first phase, long cracks appeared along the ice flow, gradually extending eastward. Some exceeded 8 km in length and spanned the entire shelf. In the second phase, numerous short cross-flow cracks, less than 2 km long, emerged, doubling the total length of the fissures.
Analysis of satellite images showed that the total length of the cracks increased from about 165 km in 2002 to approximately 336 km in 2021. Meanwhile, the average length of each crack decreased from 3.2 km to 1.5 km, with a notable increase in small cracks. These changes reflect a significant shift in the stress state of the ice shelf, that is, in the interaction of forces within its structure.
Between 2002 and 2006, the ice shelf accelerated as it was pulled by nearby fast-moving currents, generating compressive stress on the anchorage point, which initially stabilized the shelf. After 2007, the shear zone between the shelf and the Western ice tongue collapsed. The stress concentrated around the anchorage point, leading to the formation of large cracks.
Since 2017, these cracks have completely penetrated the ice shelf, severing the connection to the anchorage. According to researchers, this has accelerated the upstream flow of ice and turned the anchorage into a destabilizing factor.
Feedback Loop Collapse
One of the most significant findings of the study is the existence of a feedback loop: Cracks accelerate the flow of ice, and in turn, this increased speed generates new cracks. This process was clearly recorded by the GPS devices that the team deployed on the ice shelf between 2020 and 2022.
During the winter of 2020, the upward propagation of structural changes in the shear zone was particularly evident. These changes advanced at a rate of approximately 55 kilometers per year within the ice shelf, demonstrating that structural collapse in the shear zone directly impacts upstream ice flow.
Tech
Grado’s Signature S750 Headphones Sound Modern but Feel Like the ’70s
The friction-pole mechanism for headband adjustment is no less agricultural, for all its familiarity where Grado headphone designs are concerned. And while the detachable cable is a fair bit more flexible than some older Grado models, that’s not the same as saying it’s meaningfully flexible. If there’s a more willfully unhelpful length of cable in all of headphone-land, I’ve yet to encounter it.
On the subject of the cable: Grado provides 180-ish centimeters of it with a 6.3-mm termination at the end. When you’re charging this sort of money for headphones, it’s not outlandish to imagine your customer might have a device that accepts a balanced connection. Frankly, why there isn’t a choice of cables in the packaging is, frankly, beyond me. It’s something that the overwhelming majority of Grado’s rivals provide as a matter of course, and though the company’s website suggests there are forthcoming cable options “including a variety of lengths, as well as balanced terminations such as 4-pin XLR and 4.4mm,” these have been “forthcoming” for quite some time now, and will have a cost attached.
Photograph: Simon Lucas
I’m in no position to doubt the effectiveness of the “B” ear cushions where sound quality is concerned. After all, the Signature S750 sound superb, and Grado suggests the cushion design is a contributing factor. What I do feel qualified to say, though, is that the raw-feeling foam of the ear cushions is not especially comfortable, and that it retains and returns the wearer’s body heat with something approaching glee. “Premium” and “luxurious” are not words that apply.
Ultimately, it depends on what your priorities are. There’s certainly no arguing with the way the Signature S750 sound. They’re uncomplicatedly impressive and periodically quite thrilling to listen to, depending on the mix. But unless you’re one of those hair-shirt hi-fi fundamentalists from back in the day, one of those listeners who somehow doesn’t believe outstanding sound quality is valid unless there’s some suffering attached, there may well be too many shortcomings to overlook when it comes to these Grados. “Hand-assembled in Brooklyn, USA” notwithstanding.
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