Abstract Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Early and accurate detection is critical for improving survival rates and enabling effective treatment. This research proposes a fine-tuned Multi-Deep Neural Network model with Multiple Datasets (FT-MDNNMDs). The proposed system employs a hierarchical classification strategy, first distinguishing cancer from normal cases, and subsequently classifying cancer-positive cases into Stage II and Stage III categories. The model integrates data from The Cancer Genome Atlas (TCGA) and a private clinical image dataset collected from hospitals in Pakistan. Preprocessing techniques, including image normalization, filtering, and Principal Component Analysis (PCA), are applied to enhance feature quality and reduce redundancy. Transfer learning and fine-tuning strategies are incorporated to further improve classification performance. The proposed model effectively distinguishes between benign and malignant tumors and accurately identifies stage II and stage III cases. Experimental results demonstrate that the fine-tuned MDNNMDs model achieves an accuracy of 99.57%, outperforming conventional machine learning algorithms such as Support Vector Machine (94.46%), Decision Tree (93.54%), and Naïve Bayes (91.22%). The model also achieved superior MCC (99.46%), F-score (99.57%), and recall (99.63%). In addition to algorithmic comparison, the performance of the proposed model is compared with existing breast cancer detection models, and it is revealed that the proposed model provides more accurate results than existing ones, with 1.5% to 3.0% better accuracy. Similar content being viewed by others Data availability The private clinical dataset used in this study cannot be publicly shared due to ethical restrictions. Access to de-identified data may be considered upon reasonable request and subject to approval by the Institutional Review Board. Publicly available datasets used in the transfer-learning stage (e.g., BreakHis and INbreast) are accessible through their respective repositories. References Chlebowski, R. T., Collyar, D. E., Somerfield, M. R. & Pfister, D. G. American society
Apr 15, 2026 · via nature.com
Allbirds, the eco-friendly shoe brand co-founded by an ex-All White which found its way onto the feet of tech CEOs and movie stars before falling on hard times, is pivoting to artificial intelligence. The San Francisco-based company said it had signed a definitive agreement with an unnamed institutional investor for US$50 million (NZ$84.5 million) in financing to shift its business to AI infrastructure. It will also have a new name: NewBird AI. It plans to use the proceeds to purchase graphics processing units, known as GPUs. The transaction is expected to close during the second quarter of this year. The announcement comes more than two weeks after Allbirds sold its intellectual property and certain other assets and liabilities to American Exchange Group, a leader in accessories design, licensing and manufacturing, for US$39 million (NZ$67.8 million). The company owns such retail brands as Aerosoles, White Mountain, Jonathan Adler and Ed Hardy. That's a dramatic fall from the Allbirds' peak in valuation at US$4 billion in late 2021. The company had said that it would not be issuing its quarterly earnings report that was set for March 31. “The rise of AI development and adoption has created unprecedented structural demand for specialised, high-performance compute that the market is struggling to meet,” the company said in the release. “NewBird AI is being built to help close that gap.” The sustainable footwear brand was founded by ex-All White Tim Brown, and its products – marketed as easy-to-wear wool shoes – were worn by the likes of former US President Barack Obama, Hollywood star Leonardo DiCaprio, and Silicon Valley executives. The drastic change of direction has some industry watchers scratching their heads. “On the surface, it’s a strange pivot,” said AI infrastructure expert Bill Kleyman. “I’ve been in this industry a while, and a company
Apr 15, 2026 · via 1news.co.nz
Santa Fe County puts AI facial recognition plan on hold
SANTA FE, N.M. – Santa Fe County commissioners tabled a $17,000 plan for the sheriff’s office to test Clearview AI facial recognition technology for one year.
The Santa Fe County Sheriff’s Office brought the proposal to the Board of County Commissioners on March 31. The agency asked for $17,000 for a one-year pilot program using Clearview AI facial recognition.
4 Investigates previously reported on the use of Clearview AI by local law enforcement agencies, including Albuquerque Police Department (APD).
Advocates have expressed concerns about people being misidentified and about privacy. County commissioners shared those concerns during the meeting.
Commissioners tabled the proposal so the sheriff’s office could look into more vendors and review their policies.
Apr 15, 2026 · via kob.com
Executive summary Three consecutive administrations have made adoption of artificial intelligence (AI) across the U.S. federal government a priority. Most recently, the Trump administration’s AI Action Plan highlighted AI’s potential to “help deliver the highly responsive government the American people expect and deserve.” To assess the current state of AI adoption across the federal government, this report draws on AI use case inventories from 2023 to 2025, federal jobs data, OMB memoranda, request for information submissions, and interviews with current and former federal technologists across eight agencies. While the scope and pace of AI adoption accelerated significantly over the past three years, AI use across the federal government remains concentrated among a handful of large agencies. Workforce capacity constraints, a risk-averse culture, procurement and funding challenges, and low public trust in AI systems slow adoption efforts. To bolster responsible AI adoption, the federal government could expand support for technical talent and AI literacy across agencies; continue to address the structural barriers in procurement, regulation, and budgeting that hinder technology modernization more broadly; and foster public trust through stronger transparency practices, improved use case inventories, and a focus on high-impact, positive applications that demonstrably improve how government serves the American people. AI adoption within the federal government has been a bipartisan priority, but the scale and pace of its use varies significantly by agency The Trump and Biden administrations both emphasized the importance of the federal government adopting AI to improve service delivery, foster data-driven decisionmaking, promote national competitiveness, and bolster national security. The first Trump administration elevated such adoption as a focus in 2020 through an executive order that required agencies to inventory their use cases, set governance processes, and experiment with AI adoption. The Biden administration continued these efforts in a 2023 executive order, introducing expanded requirements for risk
Apr 15, 2026 · via brookings.edu
Abstract The primary driver or cause of cognitive decline and stroke is Cerebral Small Vessel Disease (CSVD), which currently requires neuroimaging tests, which are expensive to obtain and inaccessible in standard clinical settings. Low-cost retinal imaging techniques offer non-invasive assessments that mirror the condition of the brain’s small blood vessels (cerebral microvasculature). State-of-the-art diagnostic methods currently have no accessible, non-invasive, or cost-effective solution to identify CSVD at its earliest stages through visual assessment of retinal biomarkers. This study presents the Retino-Neuro Vision Transformer (RNV-T) framework as a proposed method to detect CSVD utilizing multimodality retinal imaging. The model system comprises five fundamental phases, beginning with Local Vascular Extraction (LVE), followed by Global Transformer-based Encoding (GTE), then proceeding to Graph-Based Relational Learning through Graph-based Convolutional Attention Network (G-CAN) before implementing Local-Global Attention Fusion (LGAF) as well as Optimized training procedures to obtain precise micro-vascular abnormality detection. The diagnostic performance of this model reaches 98.8% accuracy and shows 97.4% sensitivity along with 98.1% specificity, surpassing previous detection approaches. This diagnostic system represents a major leap forward in neuro-ophthalmic care because it enables early prediction of CSVD while expanding medical accessibility through retinal scans that are easy to conduct. Similar content being viewed by others Data availability The data that support the findings of this study are available from the corresponding author upon reasonable request. Code availability The custom code used for the implementation and empirical validation of the proposed method is publicly available at https://github.com/Nandhiniphd07/RNVT.git. The version corresponding to this study is archived and can be accessed for reproducibility purposes. The code is provided for research and academic purposes and is compatible with standard Python-based deep learning environments. References Litak, J., Mazurek, M., Kulesza, B., Szmygin, P. & Litak, J., Kamieniak, P. & Grochowski, C. Cerebral small vessel disease. Int. J. Mol.
Apr 15, 2026 · via nature.com
In Response to the Minister of Agriculture’s Recognition, IPB University Strengthens Its Contribution to National Seed Production Through New High Yielding Rice Varieties Recently, the IPB 9G rice seed variety received recognition from the Minister of Agriculture. As a tangible show of support, the Ministry of Agriculture purchased IPB 9G rice seeds worth Rp250 billion. In response, IPB University reaffirmed its readiness to meet the challenge set by the Minister by continuing to develop high-yielding rice varieties. A “Rice Seed Production Field Meeting” was held at the IPB Experimental Rice Field, Kp Sawah Baru, Babakan, Dramaga, Bogor (4/13). Rector Dr Alim Setiawan Slamet stated that IPB University continues to encourage breeders to produce innovative, high-yielding rice varieties that are adaptive and productive. “We strongly support exceptional breeders like Prof Hajrial to continue developing high-yielding varieties, particularly rice seeds. Alhamdulillah, IPB has produced 15 high-yielding varieties, ranging from IPB 1R to IPB 15S, whose seeds we are harvesting today,” he said. He added that IPB University’s high-yielding varieties are now widely accepted by the public and used on nearly 110.000 hectares of land in Indonesia. In fact, he noted, IPB University has been challenged by the government to develop varieties with yields of up to 15 tons per hectare. “We will strengthen collaboration, both domestically and internationally, to address these challenges in order to support national food security,” he added. Meanwhile, Prof. Hajrial Aswidinnoor, a professor at the Faculty of Agriculture at IPB University, explained that the development of IPB’s high-yielding varieties focuses not only on productivity but also on nutritional value and environmental sustainability. “We continue to strive to produce varieties that not only yield high harvests but also contain nutrients such as zinc (Zn) and folic acid (FA), and are efficient in fertilizer and water use,” he explained. He
Apr 15, 2026 · via ipb.ac.id
A 92-year-old woman says she was left with just $2 to her name after a scammer posing as a tradie drained her of her life savings. Last February, Cecily said a man claiming to be a tradesman doing odd jobs knocked on her door offering his services to "fill his fridge". "He offered to clean my gutterings out and just check the roof for some growing moss," she told Seven Sharp's Hilary Barry. "I said, 'Oh yes, go ahead. No problem'." She agreed to pay him $200 for his work. The pensioner said she was then told the scammer's car had broken down and he needed $800 to fix it. "It was all a big lie." Woman, 92, taken for all but $2 by scammer posing as tradie - watch on TVNZ+ She said the lies "kept going until I had $2 left". In total, Cecily lost $10,000 – her entire life savings. "That’s it – he’s drained me dry. He’s gone." Cecily said she had wanted to help him because he appeared to be down on his luck but "was so nice, sounded so caring and that – all promises, he’d pay me back”. When she realised the money was gone, Cecily said she felt "so ashamed of myself”. "I just felt… I got sucked in." The scammer was sent to prison over the incident. After her ordeal, Cecily’s daughter Wendy was put in charge of her bank account. "That’s been really tough, you know? Just emotionally – knowing that somebody just took that money," Wendy said. "Why does he think he’s so entitled that he can just come and more or less groom [victims], get their trust, and then take all their life savings?" How to keep you and your loved ones safe Age Concern’s Karen Billings-Jensen said
Apr 15, 2026 · via 1news.co.nz
When Kimberlee Williams accompanied her daughter to an Oklahoma military base in 2021, security officers learned that she was wanted for bank fraud in Maryland. Facial-recognition software had concluded Williams was the person responsible for impersonating individuals in Maryland and withdrawing thousands of dollars from their bank accounts. So she was taken into custody and held in an Oklahoma jail for 23 days — and then spent months more behind bars in Maryland. Download the SAN app today to stay up-to-date with Unbiased. Straight Facts™. Point phone camera here But Williams had never been to Maryland before her arrest. And she wasn’t the person the facial-recognition program thought she was. Now Williams is demanding an apology from police, as well as reforms to prevent others from being wrongly identified in criminal cases. Williams’ ordeal illustrates the flaws in commonly used facial-recognition technology — and, according to the American Civil Liberties Union, the mistaken belief by many law enforcement agencies that a match in the technology indisputably verifies a person is a wanted criminal. “But this kind of ‘verification’ is worthless,” the ACLU and its Maryland chapter said in letters sent Tuesday to three Maryland police departments on Williams’ behalf. “It merely confirms that the technology did what it is designed to do: find someone who looks similar to the suspect, but is often innocent.” Mistaken identity Williams was riding along with her daughter, a DoorDash driver, for a delivery to Fort Sill in Lawton, Oklahoma, when security officers performed a routine ID check before allowing the women onto the base. The check revealed a warrant for Williams’ arrest, based on an image of a suspect that a bank investigator had uploaded to an electronic mailing list tool used by law enforcement and private investigators. An individual who saw the image
Apr 15, 2026 · via san.com
In Komsomolsk-on-Amur, Russia, the roof collapsed in one of the workshops at the Gagarin Aviation Plant (KnAAP), which manufactures the Su-35 and Su-57 fighter jets. Satellite images of the aftermath were published by the OSINT resource Exilenova+. The collapse occurred as a result of a fire that broke out on the night of April 11-12, as Militarnyi previously reported. The published images show damage to one of the plant’s production buildings — several sections of the roof have collapsed. The collapse occurred in the area of production workshops responsible for manufacturing key aircraft components. This refers to Plant No. 46, which is a crucial link in the production process and specializes in manufacturing parts from polymer composite materials (PCM) for the Su-57. In particular, the plant produces the following: Plant No. 46 is also the important part for the serial production of the Su-35S, however, its damage has a significantly greater impact on the production of the former, since the number of composite parts in the Su-57’s structure is many times greater than in the Su-30MK2 and Su-35S. Russian sources have reported that the labor intensity of manufacturing a complete set of composite parts for the Su-57 in this shop has increased eightfold compared to the Su-35S. According to analysts’ estimates, damage to or destruction of the workshop would directly halt or significantly slow down the assembly of Su-57 airframes, and cooperation with ONPP “Tekhnologiya” would only be able to partially compensate for this, and with a significant time lag. Підтримати нас можна через: Приват: 5169 3351 0164 7408 PayPal - [email protected] Стати нашим патроном за лінком ⬇ Subscribe to our newsletter or on ours Telegram Thank you!! You are subscribed to our newsletter
Apr 15, 2026 · via militarnyi.com
A Timaru café's phone has been ringing off the hook, but unfortunately, many aren't seeking a top-notch toastie - instead, they're after a doctor. By Rachel Graham of RNZ Google's Gemini Artificial Intelligence (AI) tool had been offering up the phone number for Sopheze Coffee Lounge when people searched for Timaru Hospital. Sopheze Coffee Lounge manager Vanessa Keen said the problem started about six weeks ago. Café staff noticed a big increase in hang-ups and wrong numbers. "People would say 'sorry, wrong number' and hang up or people ringing... asking for radiology. I had one yesterday who wanted to confirm his appointment with me," Keen said. "We get about 15 to 20 phone calls a day." It took a couple of weeks to figure out the problem, she said. "Then it clicked ... I said to this lady on this phone 'where did you find this number?' and she said 'Google, I googled Timaru Hospital and this is what came up'. I asked her to send the screenshots through to me and I sent them through last week to the local health board." It appeared the correct number came up if people searched for "Timaru Hospital", but those searching "Timaru Hospital phone number" got a direct line to Sopheze. The frequent calls were a unneeded disruption but Keen said she also worried getting the wrong number would add to people's stress when they needed to contact the hospital. Health New Zealand - South Canterbury posted on social media on Monday alerting people to the problem and asked Google to fix the issue. Andrew Lensen, a senior lecturer in AI at Victoria University said it was common for AI summaries to contain errors. "Sometimes it's because when Google has gone through and scrapped these website their algorithms - their AI models
Apr 15, 2026 · via 1news.co.nz
Santa Fe County commissioners have hit the brakes on a sheriff’s office request for a subscription to powerful software that can identify people from snapshots of their faces. They expressed concerns about the proposed initiative — not just about how the artificial intelligence technology might be used by county deputies, but also how the contractor might use the agency’s data. The proposed contract would make the software available to the sheriff’s office for a yearlong “pilot program” at a cost of $17,100. Commissioners asked the sheriff’s office at a recent meeting to provide more information about its plans for a facial recognition program, including its internal policy on such a program and the terms of use from the vendor, New York-based Clearview AI — which bills itself as having the “world’s largest known database” of facial images and the most advanced facial recognition algorithm. The company, whose controversial software identifies people from photos using an AI-trained algorithm, has faced fines and litigation over its collection of photos, even as it has secured contracts with government agencies large and small around the world. Civil rights advocates, including in New Mexico, have urged lawmakers to ban such technology due to the potential for wrongful arrests and threats to privacy. Santa Fe County Sheriff Adan Mendoza described the software as a tool that would “put the sheriff’s office on the leading edge for technology.” “I do acknowledge and realize the concerns that the public has, but we want to use it efficiently and respectfully and for public safety,” Mendoza said in a recent interview. “I think it will be a good tool.” Mendoza said the software would be available for use by “a few tenured detectives” as well as “select supervisors.” Clearview AI’s interface allows users to upload an image — such as
Apr 15, 2026 · via santafenewmexican.com
View of Ozu Castle from Nipponia’s Ozu castletown hotel. Music The Fanfare Around the Band Geese Actually Was a Psyop The Brooklyn band Geese was labeled an “industry plant” by those who questioned its sudden ubiquity. Maybe it was. By John Semley Space Artemis II’s Breathtaking View of the Far Side of the Moon The first images from Artemis II reveal what the moon looks like just 7,000 km from the surface—and confirm that NASA is ready to return to Earth’s satellite. By Jorge Garay Artificial Intelligence Meta Is Warned That Facial Recognition Glasses Will Arm Sexual Predators More than 70 organizations, including the ACLU, EPIC, and Fight for the Future, say the AI smart glasses feature would endanger abuse victims, immigrants, and LGBTQ+ people. By Dell Cameron Politics Government Workers Say They’re Getting Inundated With Religion “This has never happened before,” one government employee tells WIRED. “I have never gotten a message like this from anyone.” By Vittoria Elliott Politics Staunch Trump Supporters Are Now Asking if He’s the Antichrist The Iran war and a series of social media posts, including one depicting Trump as Jesus Christ, have some conservative commentators and fans suspecting the president may be the antichrist. By Makena Kelly Artificial Intelligence The Internet's Most Powerful Archiving Tool Is in Peril As major news outlets cut off the Wayback Machine, journalists and advocacy groups are rallying to protect the Internet Archive’s vast collection of web pages. By Kate Knibbs Politics Silicon Valley Is Spending Millions to Stop One of Its Own Alex Bores, a former Palantir employee, helped pass one of the country’s toughest AI laws. Now Silicon Valley’s biggest names are trying to stop his rise to Congress. By Katie Drummond The Big Story The Gamblers Behind One of the Weirdest Cheating Mysteries in Chess
Apr 15, 2026 · via wired.com
Your Meta Ray-Ban smart glasses don’t have facial recognition yet, and over 70 privacy advocacy organizations want it to stay that way Is Name Tag dead on arrival? Sign up for breaking news, reviews, opinion, top tech deals, and more. You are now subscribed Your newsletter sign-up was successful Join the club Get full access to premium articles, exclusive features and a growing list of member rewards. - Meta has been urged to scrap its rumored Name Tag feature - In an open letter, privacy advocates have said the facial recognition tech is dangerous - Meta hasn't announced Name Tag yet, but a statement suggests the feature may still be coming to Ray-Ban glasses Over 70 organizations are asking Meta to cancel its controversial Name Tag AI glasses feature plans — out of fear it could supercharge the threat of stalkers and abusers. While not yet officially announced, a report came out last year suggesting that the company wants to develop an always-on AI system with the ability to recognize people’s faces and other details from your life, like where you left your keys. The story was amplified earlier this year when The New York Times reaffirmed Meta’s rumored plans. What’s more, the NYT report included a leaked Reality Labs memo that suggests Meta knows the tool is controversial, as it apparently plans to launch Name Tag “during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns.” Article continues belowThe document also highlighted possible plans to launch the tool at a conference for the blind to help promote it as an accessibility tool. Despite some possible advantages to Name Tag, various organizations, including the ACLU (American Civil Liberties Union) and Electronic Privacy Information Center, have
Apr 15, 2026 · via techradar.com
The morning's headlines in 90 seconds, including a surprise run from a former All Blacks captain, and Air NZ reveals the cost of its latest sleep innovation.
Diplomats worked through back channels to try to arrange a new round of talks between the United States and Iran, while separate talks between Israel and Lebanon take place in Washington DC.
The death of a person on a Qantas flight from New York is being investigated.
Former All Blacks captain Taine Randell is expected to be announced as New Zealand First's candidate for Tukituki.
Slashed tyres on 6 Auckland ambulances are being investigated by police.
Air New Zealand's revealed how much its Skynest bed will cost.
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Apr 15, 2026 · via 1news.co.nz
Valley Mills man asked female Waco High student to get in his car, offered money: arrest warrant Surveillance footage, facial recognition software led investigator to suspect, document states WACO, Texas (KWTX) - A man accused of trying to get a 15-year-old Waco High School student to get in his car was arrested on April 13 and charged with enticing a child away from custody of parents, online jail records and court documents show. Shaun David Law, 39, of Valley Mills, Texas, was booked into the McLennan County Jail on a $5,000 bond. The incident happened April 7 at the Circle K at New Road and Bosque Avenue near Waco High School, police said. On that date, Waco ISD Police Department officers stationed outside the high school were approached by a 15-year-old girl who told them she had just been approached by a man in the parking lot of the Circle K. The girl provided a written statement alleging the man asked her if she needed a ride, and she told him, “no.” According to the girl, the man followed her in his car, asked her if she liked older men, told her to get in his car and said he had money for her. The girl once again rejected his offers and told him to get away, the arrest warrant states. The man then allegedly asked the girl if she had friends who would like to go with him and she once again told him, “no.” “He asked her one more time to get in the car and that he had money to go have fun with,” the arrest warrant states, “She said, ‘no,’ and turned around and took a picture of his car.” At that point, the man drove away from the girl. A detective assigned the case obtained
Apr 15, 2026 · via kwtx.com
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Apr 15, 2026 · via facebook.com
An improved YOLOv11-based model with attention modules accurately detects unsafe miner behaviors in complex environments. It achieves high precision and enables real-time monitoring, enhancing safety and reducing accident risks in underground coal mining. A paper recently published in Scientific Reports proposed an effective and rapid method for detecting unsafe behaviors among underground coal mine personnel in complex coal mine environments. Coal Mining Safety Challenges Coal miners execute complex tasks in confined underground spaces, which require continuous vigilance to prevent unsafe behaviors and ensure miner safety. Yet, unique coal mine conditions and significant job pressures can occasionally lead to unsafe behaviors, resulting in serious injuries, accidents, or fatalities. Currently, personnel unsafe behavior identification in coal mines primarily relies on surveillance footage analysis and manual inspections, which pose challenges such as limited coverage of the operational area, high costs, low accuracy, significant subjectivity, and inefficiency. Thus, developing effective methods to prevent and detect unsafe behaviors among miners and improving coal mining operation safety standards are critical for the coal mining sector. Advances in Behavior Detection Constant advances in computer technology and machine vision have led to an increased application of machine vision in studies to detect unsafe behavior. Recent advances in unsafe behavior recognition approaches have relied on sensor fusion, deep learning (DL), machine learning (ML), and video analysis. Among ML techniques, random forest (RF) and support vector machine (SVM) are commonly employed in detecting unsafe behavior. However, high recognition accuracy cannot be realized using these methods in complex environments. DL methods, particularly Long Short-Term Memory Networks (LSTMs) and Convolutional Neural Networks (CNNs), have shown exceptional performance in time-series data and video analysis. For instance, unsafe behaviors by warehouse personnel were identified using CNN-based image classification methods that effectively handled issues such as changes in lighting conditions and occlusions. Recent research trends
Apr 14, 2026 · via azomining.com
UK police plan to expand live facial recognition technology In London, privacy advocates are raising concerns about how facial recognition technology is being utilized to track suspects in real time. ABC News' Patrick Reevell reports. April 14, 2026 Additional Live Streams Top Stories Top Stories Strait of Hormuz blockade holds as Trump signals second round of talks with Iran Apr 14, 2026Camp Mystic directors' emotional testimony on deadly Texas flooding Apr 14, 2026Eric Swalwell officially resigns from Congress amid new accusations Apr 14, 2026Husband of missing American in the Bahamas breaks his silence amid police questioning Apr 14, 2026Severe weather puts over 50 million on alert for tornadoes and damaging winds Apr 14, 2026Baby Jessica' arrested in Texas for domestic disturbance Apr 14, 2026Doctor charged with manslaughter after removing wrong organ from patient Apr 14, 2026Video captures moment hero principal takes down gunman at Oklahoma high school Apr 14, 2026Rock & Roll Hall of Fame's class of 2026 includes Phil Collins, Wu-Tang Clan and more Apr 14, 2026UK police plan to expand live facial recognition technology Apr 14, 2026New pill could help pancreatic cancer patients live longer, study shows Apr 14, 2026WrestleMania 42 hits Las Vegas with marquee matchups set Apr 14, 2026President Trump deletes post depicting him as Jesus Christ Apr 14, 2026No ships have made it through Iran blockade on day 1: CENTCOM Apr 14, 2026The challenges of enforcing a US blockade on Iranian ports Apr 14, 2026Possible United, American Airlines merger, report says Apr 14, 2026Southwest CEO on future of air travel Apr 14, 2026What happens if you miss the tax deadline and what is the penalty? Apr 14, 2026Pilot speaks out after crash landing Apr 14, 2026No link between fluoride in water and lower IQ, study finds Apr 14, 2026Latest on alleged attack at OpenAI CEO's
Apr 14, 2026 · via abcnews.com
Metro Atlanta hairstylist wins NAACP Image Award and shines spotlight on local talent A hairstylist with deep roots in College Park is receiving national recognition, but she says the moment is about much more than her own success. After more than three decades in the beauty industry, Deaundra Metzger is celebrating one of the biggest achievements of her career. She accepted an NAACP Image Award for her work on the Hulu series "Reasonable Doubt" in February. "I was so shocked," Metzger said. "I was excited that my team and I were recognized for our hard work." Metzger's journey began in a local salon, where she first discovered her passion for hairstyling, eventually attending the now-defunct Dimples Beauty College in College Park. She said many women in the community served as mentors and taught her a lot of what she knows about cosmetology. That passion eventually led her into television and film, where she found her niche, falling in love with character creation through hairstyling. "I was invited to come on set to assist, and I have been hooked ever since," she explained. Her work now involves collaborating with production teams and creating hairstyles that reflect each character's story from their background to their lifestyle. Despite her success, Metzger says awards were never the goal. "That's not the ultimate goal. We just want to do good work," she said. Still, she said the recognition carries weight, especially given the competition, which included major productions like "Bel-Air" and "Sinners." "Sometimes that's not enough," she said, referring to talent alone. "But if we are recognized for our work, then it's great." Her colleague, stylist Jerome Demonte, said the win came as a complete surprise. "We were really blown away. We had no idea," he said. "Everybody wants to be recognized for the work
Apr 14, 2026 · via cbsnews.com
New age-progression image released of teenager who disappeared in 1980 Investigators with the cold case unit at the New Hampshire Attorney General's Office are hoping that someone comes forward with new information about a decades-old disappearance. Rachael Garden was 15 years old when she was last seen in 1980. Investigators have released a new image of Garden to show what she might look like today. "The original investigation into Rachael Garden's disappearance was extensive and spanned years," said Senior Assistant Attorney General Chris Knowles. >> Download the free WMUR app to get updates on the go << On March 22, 1980, Garden was walking home from Rowe's Corner Store on Pond Street in Newton, but she never made it home. "She was 15 when she disappeared," Knowles said. "And for a family with other young siblings, that creates a hole in the family, not knowing what happened." Her family has never given up hope and continues searching for her. Officials said that because she has never been seen, there has been no proof of life, and they believe foul play might have been involved. "Our job is to search for answers, search for the truth of what happened, and we do that by using every resource available to us," Knowles said. Over the 46 years that Garden has been missing, new technology has emerged, such as age progression and facial recognition software, as well as radar and drone technology. Investigators said they believe that the latest advancements, paired with tips from the community, could be the key to solving the decades-long mystery. "So, that's our plea," Knowles said. "We ask anyone who may have any information, no matter how small, to come forward and provide that to the cold case unit." Anyone with information about the case can contact the
Apr 14, 2026 · via wmur.com