Author: admin

  • Imran picks Achakzai as NA opposition leader, Swati for Senate role

    Imran picks Achakzai as NA opposition leader, Swati for Senate role

    Pakistan Tehreek-e-Insaf (PTI) founder Imran Khan has nominated Pashtunkhwa Milli Awami Party chief (PKMAP) Mahmood Khan Achakzai as Leader of the Opposition in the National Assembly and Senator Azam Swati has been nominated as Leader of the Opposition in Senate, PTI Secretary General Salman Akram Raja revealed on Wednesday.

    The decision was taken in the wake of Election Commission of Pakistan’s (ECP) notification disqualifying Omar Ayub as NA opposition leader and Shibli Faraz as Senate opposition leader following their conviction in May 9 cases. Besides Ayub and Faraz, scores of PTI MNAs and MPAs were also disqualified by ECP after their conviction in May 9 riot cases.

    Talking to the media outside the Supreme Court, Raja said the PTI founder has sought a list of five names for the slot of Leader of the Opposition in the Punjab Assembly in a bid to pick the most suitable candidate.

    It is pertinent to mention that Ayub and Faraz had moved the Peshawar High Court (PHC) following their disqualification by the ECP. In response to their pleas, the PHC stayed appointments of opposition leaders in National Assembly and Senate and sought reply from the ECP.

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  • Watch an Extremely Bright Fireball Light up the Night Sky Above Japan

    Watch an Extremely Bright Fireball Light up the Night Sky Above Japan

    An extremely bright meteor lit up the night sky over Japan on Tuesday night. It could be seen from hundreds of miles away.

    The colossal fireball blazed across the skies of western Japan. The incredible sight was captured on dash cams and surveillance cameras on Kyushu, the southwesternmost main island in Japan, and Osaka, a major city on Japan’s largest main island, Honshu.

    “A white light I had never seen before came down from above, and it became so bright that I could barely see the shapes of the houses around us,” Yoshihiko Hamahata told public broadcaster NHK, The Guardian reports.

    “What I saw in the videos were amazing, stunning — a beautiful live show in the sky,” Luke Daly, a professor of planetary geoscience from the University of Glasgow, told The Washington Post today.

    Daly explained that fireballs are especially bright meteors. When a meteoroid — a space rock — enters the Earth’s atmosphere at high speeds, the friction from the atmosphere heats it. While a typical meteor is a very short-lived flash in the sky, a fireball, which is an official astronomical term, is “exceptionally bright.”

    Per NASA, a fireball is “an unusually bright meteor that reaches a visual magnitude of -3 or brighter when seen at the observer’s zenith.” A fireball is often caused by objects larger than one meter (three feet) in diameter, whereas regular meteors are usually much smaller.

    Witnesses in Japan claim they heard an explosion-like boom as the fireball flew above, which suggests that the object’s speed surpassed the speed of sound and created a sonic boom.

    Fireball expert Daichi Fujii, curator at the Hiratsuka City Museum, speculated to Asahi Shimbum that the fireball may have been traveling as fast as 21 kilometers per second, or nearly 47,000 miles per hour, based on its relative position to a background star in multiple fixed-position camera angles. Fujii adds that, like a meteorite that lit up the skies in the Chiba prefecture in July 2020, the fireball last night could have come from the asteroid belt between Mars and Jupiter.

    It is believed the fireball landed in the Pacific Ocean, dashing nearly all hopes of recovering the object. Daly told The Washington Post this is very sad, as an object like this could provide key insights into how the solar system formed billions of years ago.


    Image credits: Header photo by Nandenko via Reuters

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  • Rapid Loss Of Antarctic Ice Might Signal Climate

    Rapid Loss Of Antarctic Ice Might Signal Climate

    Rapid loss of Antarctic sea ice could be a tipping point for the global climate, causing sea level rises, changes to ocean currents and loss of marine life that are impossible to reverse, a scientific study published on Thursday said.

    The paper in the journal Nature aimed to describe in previously unseen detail the interlocking effects of global warming on the Antarctic, the frozen continent at the planet’s South Pole.

    “Evidence is emerging for rapid, interacting and sometimes self-perpetuating changes in the Antarctic environment,” it said.

    The study gathered data from observations, ice cores, and ship logbooks to chart long-term changes in the area of sea ice, putting into context a rapid decline in recent years.

    “A regime shift has reduced Antarctic sea-ice extent far below its natural variability of past centuries, and in some respects is more abrupt, non-linear and potentially irreversible than Arctic sea-ice loss,” it said, referring to melting at the North Pole.

    Changes are having knock-on effects across the ecosystem that in some cases amplify one another, said Nerilie Abram, the study’s lead author.

    A smaller ice sheet reflects less solar radiation, meaning the planet absorbs more warmth, and will probably accelerate a weakening of the Antarctic Overturning Circulation, an ocean-spanning current that distributes heat and nutrients and regulates weather.

    Loss of ice is increasingly harming wildlife including emperor penguins, who breed on the ice, and krill, which feed below it.

    And warming surface water will further reduce phytoplankton populations that draw down vast quantities of carbon from the atmosphere, the study said.

    “Antarctic sea ice may actually be one of those tipping points in the Earth’s system,” said Abram, a former professor at the Australian National University (ANU) and now chief scientist at the Australian Antarctic Division.

    Reining in global carbon dioxide emissions would reduce the risk of major changes in the Antarctic but still may not prevent them, the study said.

    “Once we start losing Antarctic sea ice, we set in train this self-perpetuating process,” Abram said. “Even if we stabilise the climate, we are committed to still losing Antarctic sea ice over many centuries to come.”

    Antarctic sea ice https://tmsnrt.rs/41gV53j

    (Reuters)

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  • Islamabad Set to Get International Standard Tourist and Commercial Hub

    Islamabad Set to Get International Standard Tourist and Commercial Hub

    Islamabad Saidpur village will be developed into an international-standard tourist and commercial hub, offering modern facilities to visitors, according to Interior Minister Mohsin Naqvi.

    On the directives of the minister, a large-scale operation has been launched against illegal constructions and encroachments in Saidpur Model Village, Islamabad. Several buildings, occupied for years without rent payment, were also vacated. The operation is being carried out indiscriminately against all unauthorized constructions raised on 360 kanals of land after 2005.

    The minister himself visited Saidpur Model Village to review the anti-encroachment drive, as well as the ongoing upgradation and beautification works in the area.

    He directed the Capital Development Authority (CDA) and District Municipal Administration (DMA) officials to ensure strict action against all illegal structures without discrimination and emphasized that the vacated properties must be auctioned in a transparent manner.

    He announced that well-known restaurants from Karachi and Lahore would soon be introduced in Saidpur Village to enhance its charm.  The revival of Saidpur will add to the beauty of Islamabad and provide citizens with a new recreational destination, he said.

    The minister stressed that all resources would be utilized to develop Saidpur into an international-standard tourist and commercial hub, offering modern facilities to visitors. He also instructed CDA and DMA officials to ensure cleanliness in and around the village.

    During the briefing, CDA Chairman Muhammad Ali Randhawa informed the minister that satellite imagery was being used to identify constructions built illegally after 2005. He added that the green core area of Saidpur Village is also being restored.

    Senior CDA members, the Additional Deputy Commissioner General (ADCG), SSP Operations, and other relevant officials were present during the visit.


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  • Chipmakers’ Stocks Drop As Trump Administration Reportedly Seeks Equity For Grants

    Chipmakers’ Stocks Drop As Trump Administration Reportedly Seeks Equity For Grants

    Topline

    A broader decline for tech stocks was headlined by Nvidia, Intel and Palantir during intraday trading Wednesday, following a report the Trump administration may seek equity in firms receiving federal grants under the Biden-era CHIPS Act.

    Key Facts

    Commerce Secretary Howard Lutnick is considering a plan in which the U.S. will gain equity stakes in chipmakers in exchange for grants given to them under the CHIPS Act, according to Reuters.

    It’s not immediately clear how much of a stake the U.S. would seek in these companies.

    Lutnick said late Tuesday the U.S. was eyeing a stake in Intel, after White House Press Secretary Karoline Leavitt earlier said the Trump administration was in discussions to potentially acquire 10% equity, valued at roughly $10.4 billion, that could make the U.S. the chipmaker’s largest shareholder.

    The U.S. may expand its equity requests to other companies that are set to receive CHIPS Act funds, including Micron, TSMC and Samsung, Reuters reported.

    How Have Markets Reacted?

    The Nasdaq dropped nearly 290 points (1.3%) by around noon Tuesday, as shares of Nvidia (2%), Intel (7%), Palantir (5%), AMD (2%) and Broadcom led a broader tech selloff. Other firms, including Micron (5%), Tesla (3%), Amazon (2.1%), Apple (1.6%) and Microsoft (0.8%) also declined. In Asia, semiconductor maker TSMC’s shares dropped more than 2%.

    Does The U.s. Acquire Stakes In Companies?

    The U.S. does not regularly acquire equity in companies, though it previously took equity in some banks and automakers—including General Motors and AIG, among others—during the 2008 financial crisis. Equity has historically been taken by the U.S. in times of financial instability, including Chrysler in the late 1970s and defense-related industries during World War II. Some economists have argued equity held by the U.S. government could expose taxpayers to potential losses, while others believe U.S. investment could boost sectors.

    What Has Trump Said About The Chips Act?

    President Donald Trump has repeatedly bashed the Biden-era CHIPS Act and has threatened to scrap it. In his address to a joint session of Congress in March, the president said the CHIPS Act was a “horrible, horrible thing,” adding: “We give hundreds of billions of dollars, and it doesn’t mean a thing. They take our money, and they don’t spend it.”

    Crucial Quote

    Lutnick told CNBC: “The Biden administration literally was giving Intel for free, and giving TSMC money for free, and all these companies just giving them money for free. Donald Trump turns that into saying, ‘Hey, we want equity for the money. If we’re going to give you the money, we want a piece of the action.’”

    Tangent

    Earlier on Tuesday, Japanese investment giant SoftBank announced it had agreed to a deal to purchase $2 billion worth of Intel stock at $23 per share.

    Further Reading

    US examines equity stake in chip makers for CHIPS Act cash grants, sources say (Reuters)

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  • Robots to explore caves on Moon and Mars for future human homes | National

    Robots to explore caves on Moon and Mars for future human homes | National






    (DFKI/Tom Becker via SWNS)


    By Dean Murray

    A squad of robots will explore off-planet caves to help set up homes for humans, according to new research.

    The robo-teams would work together to rappel down into lava holes to map out potential habitats on the Moon and Mars.

    A team of European researchers has outlined the innovative mission concept in the journal Science Robotics.

    Their paper follows field tests carried out on the volcanic island of Lanzarote, chosen for its similarity to harsh lunar and Martian landscapes and their potential cave systems.

    The research team includes scientists from the Robotics Innovation Center at the German Research Center for Artificial Intelligence (DFKI).







    Robo-squads could explore off-planet caves to help set up human homes

    (DFKI/Tom Becker via SWNS)





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    DFKI said: “Lava caves on planetary bodies near Earth are promising sites for future base camps, offering natural protection from radiation and meteorite impacts. Yet their exploration remains difficult due to harsh conditions and restricted access.”

    Three different robot types were tasked with operating together autonomously to efficiently explore and map the extreme Lanzarote environment.

    The mission explored a skylight, which was a hole leading to an underground lava cave, in four steps: first, the area around the hole was mapped together; second, a sensor was dropped into the cave to collect initial data; third, a small rover rappelled down the hole; and finally, the rover explored the cave independently and created a 3D map.







    Robo-squads could explore off-planet caves to help set up human homes

    (DFKI/Tom Becker via SWNS)




    The robot that was lowered into the cave was able to explore the difficult-to-access underground area, and successfully generated a detailed 3D model of the cave – a key milestone for applying such technologies in extraterrestrial missions.

    DFKI said: “The results not only confirm the technical feasibility of the concept but also demonstrate the potential of collaborative robotic systems for use in future Moon or Mars missions.

    “The study thus provides valuable impetus for the further development of autonomous robotic solutions in the context of planetary exploration.”

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  • Growth and development of two predator species fed a diet of genetically engineered mosquitoes | Parasites & Vectors

    Growth and development of two predator species fed a diet of genetically engineered mosquitoes | Parasites & Vectors

    Genetically engineered Anopheles coluzzii

    The genetically engineered AcTP13 strain of An. coluzzii used in these experiments was developed and described by the James lab at UC Irvine [8]. The GEM strain was initially created via introgression of a drive system into the Mopti An. coluzzii strain (MRA-763) from BEI (BEI Resources, Manassas, VA, USA); therefore, the Mopti strain was used as the WT control for the studies described in this report. The AcTP13 GEM is equipped with two effector genes that produce single-chain variable fragment monoclonal antibodies that target Plasmodium falciparum at the ookinete and sporozoite stages [8]. These effector genes are most strongly expressed in adult females following a blood meal [8], and therefore adult semi-gravid or gravid An. coluzzii were used for predator diets.

    Predators

    Immature stages of two predator species, the mosquitofish Gambusia affinis (Fig. 1a) and the bold jumping spider Phidippus audax (Fig. 2a) were selected for this experiment. Immature stages were used because growth during this period occurs rapidly and predictably as individuals progress toward sexual maturity.

    Fig. 1

    Gambusia affinis morphological characteristics and measurements. a Juvenile G. affinis of indistinguishable sex. b Fish length measured dorsally on a 1 mm × 1 mm grid from the tip of the mouth to the base of the caudal fin (yellow arrow). c Sexual differentiation in G. affinis shown in an adult female (left) displaying a black gravid spot and larger rounded body and adult male (right) displaying an elongated gonopodium (anal fin) and smaller narrow body (a and c not to scale)

    Fig. 2
    figure 2

    Phidippus audax characteristics and measurements. a Juvenile P. audax showing no phenotypic sex characteristics. Defined measurements of (b) carapace width and (c) anterior median eye diameter

    Mosquitofish: Gambusia affinis

    Gravid adult G. affinis fish were acquired from the Sacramento-Yolo Mosquito and Vector Control District (8631 Bond Rd Elk Grove, CA 95624). Each female was isolated in a 6-L birthing tank filled with conditioned tap water and equipped with an air stone for oxygenation. Each gravid female was placed in a screened-off birthing chamber within the tank. The screen prevented cannibalization by allowing fry to swim through while containing the adult female [41]. The adult female was removed from the chamber after giving birth. Fry were raised communally with their siblings for the first 2 weeks of life and fed Hikari First Bites Fish Food Granules (Petco, San Diego, California, USA) ad libitum daily. After 2 weeks, offspring from two separate mothers were divided evenly between two assigned diet groups, with offspring totaling 40 individuals per diet group. Fish were then reared individually in 700 ml plastic containers filled with 500 ml of conditioned tap water equipped with an air stone for oxygenation and a screened lid to prevent jumping.

    Although adult G. affinis will readily feed on adult mosquitoes from the water’s surface, attempts to feed live adult mosquitoes to juvenile fish were unsuccessful owing to the juveniles’ small size. The G. affinis diet was designed to include high levels of expressed GEM antibodies rather than accurately reproduce predatory–prey dynamics between G. affinis and An. coluzzii. Therefore, adult mosquitoes were lyophilized and mixed with Hikari First Bites Fish Food Granules (Petco, San Diego, CA, USA) to prepare the G. affinis diet. Cages of adult mosquitoes containing a mixture of gravid, nongravid, and male mosquitoes were used to prepare the diet. Anopheles were blood-fed the evening before G. affinis diet preparation began. Cages of unsorted live adults were placed in a −20 °C freezer for 30 min. Each cage of frozen mosquitoes was funneled into a 15 ml tube stored at −20 °C for a maximum of 2 h. Each tube was lyophilized for 24 h using a Labconco FreeZone 2.5 Plus lyophilizer (Labconco, Kansas City, MO, USA). To ensure that the final GEM and WT diet mixtures contained the same percentage of gravid female mosquitoes, three parameters were recorded: (1) the average mass of individual lyophilized male, nongravid female, and gravid female mosquitoes for each strain, (2) the ratio of mosquito types (gravid females, nongravid females, and males) within each cage, and (3) the total mass of lyophilized mosquitoes per cage. To determine the average mass of each mosquito type, 50 individual males, nongravid, and gravid females from each strain were lyophilized separately, and the average mass per individual of each type was calculated. Prior to lyophilization, subsamples of approximately 150 mosquitoes from each cage were sorted into males, nongravid females, and gravid females to estimate the fractional ratio of mosquito type per cage. Finally, after lyophilizing each cage, all lyophilized mosquitoes were weighed to determine the total cage mass.

    $${{varvec{T}}}_{{varvec{G}}{varvec{F}}}=frac{{f}_{GF}}{left({overline{m} }_{M}cdot {f}_{M}right)+left({overline{m} }_{GF}cdot {f}_{GF}right)+left({overline{m} }_{NG}cdot {f}_{NG}right)}cdot C$$

    The estimated total number of gravid females per cage ({({varvec{T}}}_{{varvec{G}}{varvec{F}}})) was determined using the average individual mosquito masses ((overline{{varvec{m}} })) and fractional ratio (({varvec{f}})) of males (({varvec{M}})), nongravid females (({varvec{N}}{varvec{G}})), and gravid females (({varvec{G}}{varvec{F}})), and the total mass of the lyophilized cage (({varvec{C}})). Approximately 16 cages of each mosquito strain were processed to produce a mosquito mixture containing 68% gravid females and 32% males and nongravid females by mass. Although the diet mixtures also contained males and nongravid females, the number of gravid females was used as the basis for dietary composition because the gravid females express the genetically engineered proteins of interest to this study. The final diet mixture was prepared by grinding the lyophilized mosquitoes and mixing them with fish food to create a formulation of 10 gravid females per 14 mg of powdered food mixture. This mixture was 40% gravid female, 20% nongravid female and male, and 40% fish food by mass.

    Once per week, mass and length measurements were collected for each fish. A week zero baseline measurement was taken before beginning the experimental diet. To measure mass, each fish was transferred from its enclosure to a 30 mm petri dish containing water on a pretared scale. A net was used to transfer the fish to prevent excess water from altering the fish mass. Fish mass was recorded to the nearest 0.1 mg. After weighing, each fish was photographed on a 1 mm × 1 mm grid background to measure its standard length. Standard length [42] was measured dorsally from the tip of the mouth to the base of the caudal fin using ImageJ software (Fig. 1b) [43, 44].

    During the 7-week experiment, fish were fed a GEM or WT mosquito food mixture twice per week, with fish food provided on all other days. The daily ration of mosquito food mix and fish food was adjusted weekly to approximately 25% of the average fish body weight. On average, fish consumed 14.5 gravid females per week. Water in each container was replaced prior to the twice-weekly mosquito feedings. Fish were monitored daily for mortality (Fig. 3a) and observed twice weekly for signs of sexual differentiation (Fig. 3b). Fish displaying a gravid spot were classified as female, while those with an elongated gonopodium were classified as male (Fig. 1c). After the initial 7-week period, fish were reared for an additional 3 weeks and fed Hikari fish bites to allow more individuals to achieve sexual differentiation (Fig. 3b).

    Fig. 3
    figure 3

    Weekly measurements of G. affinis development metrics. a Cumulative mortality rates for genetically modified mosquito (GEM) diet group (left) or wild-type (WT) diet group (right) and (b) sexual differentiation for GEM diet group (left) or WT diet group (right)

    Jumping spiders: Phidippus audax

    Two gravid P. audax females were purchased from jumpingspidersforsale.com (Garden Grove, CA, USA). Each female was housed in a 101.6 mm × 101.6 mm × 128.6 mm enclosure and fed a diet of crickets and fruit flies twice per week. Hatchlings were kept in the same enclosure as the mother until they began to leave the nest, approximately 1 month after hatching. The 59 total hatchlings from two mothers were placed in individual enclosures and distributed evenly between the two diet groups. The sex ratio was initially unknown as juvenile male and female jumping spiders are morphologically indistinguishable (Fig. 2a).

    Individual enclosures measured 12.5 × 5.5 × 5.5 mm and contained a Plaster of Paris substrate and cork bark affixed to one side. Small, screened ventilation holes were provided on the sides and lids of the container, with a larger plugged hole at the base of the enclosure to allow for the introduction of mosquito prey. Enclosures were sprayed with water three times per week. Prior to the start of the experiment, each juvenile spider was fed five fruit flies per week. A week 0 baseline measurement was taken before the initial introduction of GEM or WT mosquito diets.

    During the experiment, spiders were exclusively fed ten live, half-gravid, female GEM or WT An. coluzzii mosquitoes once per week for 11 weeks. A total of 30 spiders were used for each diet group. Spiders and remaining mosquitoes were lightly anesthetized with CO2 and removed from their enclosures 48 h after feeding. The number of uneaten mosquitoes remaining in the enclosure was recorded and all mosquitoes, mosquito carcasses, and spider molts were removed. The anesthetized spiders were weighed on a tared scale to the nearest 0.1 mg and photographed on a 1 mm × 1 mm grid background positioned under a microscope for carapace width and eye diameter measurements. Photos were analyzed using ImageJ software to acquire the carapace width (Fig. 2b) and anterior median eye diameter (Fig. 2c) [40, 43]. Mortality was monitored twice per week.

    After the completion of the feeding experiment, P. audax were housed individually for an additional 3 weeks and fed a diet of 15 fruit flies per week. Spiders were then euthanized and preserved in ethanol. Preserved P. audax individuals were examined morphologically to determine sex. Males were identified via the presence of palpal bulbs on the pedipalps, and females were identified via the presence of an epigynum on the underside of the abdomen. Individuals that did not reach penultimate or adult instars had indistinguishable morphological sex characteristics at the time of euthanasia and were recorded as unknown sex.

    Analyses

    Standard deviation (SD) was calculated to assess differences in the GEM and WT groups. A two-way analysis of variance (ANOVA) was used to test for effects of diet group, sex, and their interaction on predator growth [45]. Following ANOVA results, Tukey’s honest significant difference post-hoc test was used to determine if growth differed significantly between sexes (female, male, or unknown) and to determine if growth differed between individuals of the same sex across the two diet groups. Fisher’s exact test [46] was used to determine if mortality rates differed significantly, and a Chi-squared test [47] was used to determine if sex ratios differed significantly. All analyses were conducted in R version 4.4.2 [48] using the rstatix, dplyr, broom, and purr packages for statistical generation and analysis [49,50,51,52], ggplot2 package for plot creation [53], and ggpubr for statistical integration in plots [54]. A P-value of < 0.05 was considered statistically significant.

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  • Google's Pixel 10 phones raises the ante on artificial intelligence – The Washington Post

    1. Google’s Pixel 10 phones raises the ante on artificial intelligence  The Washington Post
    2. Last-minute Google leak reveals brand-new 67W charger, cheaper Pixelsnap stand, and pricier cases  Android Authority
    3. Pixel 10, AI capabilities, and everything else we expect out of the Made by Google 2025 event  TechCrunch
    4. Watch the Made By Google 2025 event live here – GSMArena.com news  GSMArena.com
    5. Pixel 10 Pro vs. Pixel 9 Pro: here’s how Google’s flagship phones stack up  Pocket-lint

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  • AI-Assisted Mammogram Readings Reduce Radiologist Workload, Maintain Performance

    AI-Assisted Mammogram Readings Reduce Radiologist Workload, Maintain Performance

    Artificial Intelligence (AI)–assisted mammogram readings reduced radiologists’ workload by approximately 40% while maintaining performance accuracy, a new study published in Radiology found.1

    Prior evidence suggests using AI for decision support in breast cancer detection screenings can improve radiologist reading performance. Numerous studies have assessed the proficiency of AI-assisted screenings; however, the new study aimed to assess the reduction in workload AI might provide radiologists by allowing standalone AI interpretation in cases where the model performs as well as or better than the radiologist.

    AI-assisted breast cancer screenings aid in reducing radiologists’ workload when certain of its analysis. | Image Credit: okrasiuk – stock.adobe.com

    The study introduced an AI model to mammogram screenings that outputs the probability of malignancy (POM) and a measure of its uncertainty. Researchers proposed a hybrid reading approach where recall decisions for additional screenings made by the model were only assessed for a double reading by a radiologist if the predictions were deemed confident by the model itself.

    Researchers compiled digital mammographic screening examinations performed between July 2003 and August 2018 at the prevention screening unit in Utrecht, the Netherlands. The AI interpretation model was developed to assess screenings in 3 steps—in contrast to previous models based on a single neural network—which are standard for examination-level predictions. The 3 steps were:

    • A sensitivity region detection algorithm that proposes regions of interest
    • A region classification network
    • The generation of an examination-level conclusion

    The certainty of the models’ predictions was based on the region classification stage and its effect on the uncertainty of the entire model. While the region detection network was considered, it was ultimately omitted from certainty projections due to its high-sensitivity operation, which would likely cause false-negative errors at an examination level. The output was measured at the examination level, resulting in an area under the receiver operating characteristic curve (AUC).

    AI-Assisted Mammogram Screening Proficiency

    The data set, comprised of 41,471 examinations from 15,524 women with a median age of 59 years, included a total of 332 screen-detected cancers and 34 interval cancers. The AUC for the AI mammography interpretation model for detecting malignancies was 0.92 (95% CI, 0.89-0.94), meaning it performed exceedingly well in distinguishing malignant from nonmalignant cases. The single (1 radiologist) and double (2 radiologists) readings by radiologists had sensitivities of 69.2% and 72.3%, respectively, meaning they were able to detect about 69 out of 100 and about 72 out of 100 cancers, respectively. Their specificities of 98.2% (95% CI, 98.0-98.3) and 98.3% (95% CI, 98.2-98.4), respectively, show that radiologists were very accurate in avoiding false positives, although they did miss some cases, resulting in a lower sensitivity. At those specificities, the AI model had a lower sensitivity for both single reading and double reading—62.1% (95% CI, 55.0-68.9; P = .01) and 61.6% (95% CI, 54.3-68.6; P < .001), respectively. These data show that while the AI was able to detect a significant number of cases, when forced to match the high specificity of radiologists, it was much less sensitive.

    The uncertainty metric that produced the best results was the entropy of the mean of the POM score of the most specific region. Under this metric, the AI assigns each region of the breast a POM score and then measures the confidence of its interpretation for each score. High entropy means the AI is uncertain, yet using this metric led to a split where the AI was uncertain in 61.9% of cases.

    The detection rate and recall rate did not differ drastically, if at all, from that of the standard double readings (recall, 23.7 vs. 23.9 per 1000 examinations), yet 19% of the recalls were triggered by AI alone. The study authors still consider this to be unfavorable, as most women prefer their mammograms to be read by at least 1 radiologist, thus encouraging radiologists to also review recalled examinations by AI despite its confidence in interpretation. 2

    Overall, the hybrid reading strategy reduced the radiologist’s workload to 61.9%, with a cancer detection rate of 6.6 per 1000 examinations (95% CI, 5.5-7.7) and a recall rate of 23.6 per 1000 (95% CI, 21.6-25.5). 1

    “Even with this lower performance, leveraging the information gained by estimating the examinations where the model is certain, it is still possible to reduce the workload while maintaining the performance of standard double reading,” the study author explained. “Applying the proposed strategy to a higher-performing model would likely improve the reduction in workload or improve the performance further.”

    The limitations of this study address the POM as a fair predictor of certainty because deep neural networks tend to be overconfident in their predictions. Additionally, radiologists’ behavior was not considered despite potential changes due to the prevalence of cancers and subtypes varying within a set, which may have influenced their reading strategy.

    “Therefore, further research, ideally a prospective trial, is needed to determine how workload reduction in the number of examinations obtained using this method would translate to a reduction in reading time,” the study authors concluded. “The best uncertainty metric could guide a reading strategy to reduce workload by approximately 40% without decreasing performance even with a model that has lower performance than that of a single radiologist.”

    References

    1. Verboom SD, Kroes J, Pires S, Broeders MJM, Sechopoulos I. AI should read mammograms only when confident: a hybrid breast cancer screening reading strategy. J Am Coll Radiol. Published online August 19, 2025. doi:10.1148/radiol.242594

    2. Ongena YP, Yakar D, Haan M, Kwee TC. Artificial intelligence in screening mammography: a population survey of women’s preferences. J Am Coll Radiol. 2021;18(1 Pt A):79-86. doi:10.1016/j.jacr.2020.09.042

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  • Google’s Pixel 10 phones raises the ante on artificial intelligence

    Google’s Pixel 10 phones raises the ante on artificial intelligence

    Google on Wednesday unveiled a new line-up of Pixel smartphones injected with another dose of artificial intelligence that’s designed to do everything from fetch vital information stored on the devices to help improve photos as they’re being taken.

    The AI expansion on the four Pixel 10 models amplifies Google’s efforts to broaden the use of a technology that is already starting to reshape society. At the same time, Google is taking a swipe at Apple’s Achilles’ heel on the iPhone.

    Apple so far has only been able to introduce a few basic AI features on the iPhone while failing to deliver on last year’s promise to deliver a more conversational and versatile version of its often-blundering virtual assistant Siri.

    Without mentioning the iPhone by name, Google has already been mocking Apple’s missteps in online ads promoting the four new Pixel models as smartphones loaded with AI technology that consumers won’t have to wait for more than a year to arrive.

    Google, in contrast, has been steadily increasing the amount of AI that it began to implant on its Pixels since 2023, with this year’s models taking it to another level.

    Taking advantage of a more advanced processor, Google is introducing a new AI feature on the Pixel 10 phones called “Magic Cue” that’s designed to serve as a digital mind reader that automatically fetches information stored on the devices and displays the data at the time it’s needed. For instance, if a Pixel 10 user is calling up an airline, Magic Cue is supposed to instantaneously recognize the phone number and display the flight information if it’s in Gmail or a Google Calendar.

    The Pixel 10 phones will also come with a preview feature of a new AI tool called “Camera Coach” that will automatically suggest the best framing and lighting angle as the lens is being aimed at a subject. Camera Coach will also recommend the best lens mode to use for an optimal picture.

    The premium models — Pixel 10 Pro and Pixel 10 Pro XL — will also include a “Super Res” option that deploys a grab bag of software and AI tricks to zoom up to 100 times the resolution to capture the details of objects located miles away from the camera. The AI wizardry could happen without users even realizing it’s happening, making it even more difficult to know whether an image captured in a photo reflects how things really looked at the time a picture was taken or was modified by technology.

    Google is also offering a free one-year subscription to its AI Pro plan to anyone who buys the more expensive Pixel 10 Pro or Pixel 10 Pro XL models in hopes of hooking more people on the Gemini toolkit it has assembled to compete against OpenAI’s ChatGPT.

    The prices on all four Pixel 10 models will remain unchanged from last year’s Pixel 9 generation, with the basic starting at $800 and the Pro selling for $1,000, the Pro XL at $1,200 and a foldable version at $1,800. All the Pixel 10s expect the foldable model will be in stores on August 28. The Pixel 10 Pro Fold will be available starting October 9.

    Although the Pixel smartphone remains a Lilliputian next to the Gulliverian stature of the iPhone and Samsung’s Galaxy models, Google’s ongoing advances in AI while holding the line on its marquee devices raise the competitive stakes.

    “In the age of AI, it is a true laboratory of innovation,” Forrester Research analyst Thomas Husson said of the Pixel.

    Apple, in particular, will be facing more pressure than usual when it introduces the next-generation iPhone next month. Although the company has already said the smarter Siri won’t be ready until next year at the earliest, Apple will still be expected to show some progress in AI to demonstrate the iPhone is adapting to technology’s AI evolution rather than tilting toward gradual obsolescence. Clinging to a once-successful formula eventually sank the BlackBerry and its physical keyboard when the iPhone and its touch screen came along nearly 20 years ago.

    Apple’s pricing of the next iPhone will also be under the spotlight, given that the devices are made in China and India — two of the prime targets in President Donald Trump’s trade war.

    But Apple appeared to gain a reprieve from Trump’s most onerous threats earlier this month by adding another $100 billion on top of an earlier $500 billion investment pledge to the U.S. The tariff relief may enable Apple to minimize or even avoid price increases for the iPhone, just as Google has done with the Pixel 10 models.

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