- School Education - 2 min read CBSE mandates computational thinking and AI integration for Class 3 to 8 The notification, issued by CBSE's training unit, introduced a structured curriculum on CT and AI aligned with the National Education Policy (NEP) 2020 and the National Curriculum Framework for School Education 2023. The curriculum aims to develop logical thinking, systematic problem-solving, pattern recognition and an understanding of the ethical use of AI among students. Nagpur: The Central Board of Secondary Education (CBSE) has set computational thinking (CT) and artificial intelligence (AI) as the focus for training in the 2026-27 academic year, instructing all affiliated schools to integrate these topics into the curriculum for Classes 3 to 8 starting this session. The notification, issued by CBSE's training unit, introduced a structured curriculum on CT and AI aligned with the National Education Policy (NEP) 2020 and the National Curriculum Framework for School Education 2023. The curriculum aims to develop logical thinking, systematic problem-solving, pattern recognition and an understanding of the ethical use of AI among students. Schools are to conduct three types of activities during the session. The first is district-level deliberations (DLDs), which are offline one-day workshops where groups of schools or Sahodaya School Complexes collaborate to share and discuss innovative classroom practices on CT and AI for Classes 3 to 8. Each workshop is equivalent to six hours of school-based continuing professional development. The second activity consists of expert-led talks, either online or offline, lasting half a day and counting as three CPD hours. The third involves regional workshops organized by CBSE's Centres of Excellence, with a registration fee of Rs700 per teacher. During the DLD workshops, up to 16 schools can present case studies on best practices, with each presentation lasting 25 minutes. An appreciation committee, including an external CT
Apr 12, 2026 · via education.economictimes.indiatimes.com
The future of beauty: Can AI replace your dermatologist? While the broader narrative surrounding Artificial Intelligence often leans toward dystopian concerns of environmental impact and job security, a more optimistic frontier is emerging at the intersection of beauty and technology. AI-powered skincare tools are poised to revolutionize the DIY beauty industry, promising a shift from generalized routines to high-precision, clinic-grade personal care News.Az reports, citing Vogue. According to industry experts like Tim Roberts of Therabody, the "next frontier" will allow users to leverage computer vision for trusted skin analysis and optimized product application, effectively democratizing access to dermatological expertise. RECOMMENDED STORIES However, current experts urge a degree of caution regarding the technology's present capabilities. Consultant dermatologist Dr. Emma Craythorne notes that we are currently in an "infant stage" where AI often functions more as a user-friendly interface for generalized advice rather than a truly diagnostic medical tool. At present, AI cannot legally or reliably diagnose specific conditions such as acne or deep-seated pigmentation, as such capabilities would categorize these devices as medical hardware subject to rigorous regulation. Most current tools use image recognition to make assumptions based on demographic models, which Dr. Craythorne suggests can still feel "slightly gimmicky" compared to the nuanced evaluation of a human practitioner. The real transformation is expected to unfold over the next five to ten years as large language models begin to mirror the diagnostic reasoning of dermatologists. Future breakthroughs will likely integrate "exposome" data—factors such as sleep, diet, and environment—to understand how lifestyle affects gene expression and skin health. As the industry moves toward this 2030s vision, the ultimate goal is to bridge the gap between over-the-counter beauty and clinical treatment, ensuring that the "patriotic alternative" to traditional skincare is one rooted in data-driven, accessible, and highly effective medical legitimacy. By Leyla Şirinova
Apr 12, 2026 · via news.az
Nationwide 'no set timescale' update for members The building society recently issued an update Nationwide Building Society has shed light on a rule that affects customers accessing services online. The update after a query was raised by a member on social media. The customer explained that they had switched to a new phone several weeks prior and were unable to activate biometrics on their new device. They asked: "How long is the waiting period to get these back?" Biometric authentication is a security feature that uses a unique personal identifier to verify account access. This can include fingerprint scanning or facial recognition to confirm a user's identity. In response to the question, Nationwide stated: "If you get a new phone, you'll need to wait to re-qualify for biometric authentication on that device." Regarding how long this can take, the group said: "There's no set timescale, and we'll usually notify you by text message when it becomes available." The building society also pointed the customer towards an information page on the Nationwide website detailing how to set up biometric authentication. The feature can be set up for everyday banking purposes, allowing customers to log into the app and authorise both small and recurring payments through either the app or internet banking portal. Biometrics can also be used to verify your identity when logging into internet banking. Customers also have the option to set up biometrics within the app, to provide an extra layer of security for more sensitive transactions. This includes larger payments or resetting your passnumber. With account biometrics enabled, there will be no need to use your card reader or debit card to log in or make payments. Nationwide recently issued guidance on how to identify counterfeit currency, following reports of fake notes appearing at one of its branches.
Apr 12, 2026 · via cambridge-news.co.uk
Abstract Brain tumors (BTs) arise due to abnormal cell growth, which has a high mortality rate globally. Millions of lives can be saved through the timely identification of BT. Precise identification and segmentation of BTs are essential to enhance the precision of analysis and the efficiency of therapeutic strategies. Magnetic resonance imaging (MRI) is a broadly utilized analytical tool. Furthermore, deep learning (DL) has recently shown efficiency in addressing several computer vision tasks. Several DL-driven methods are implemented for BT segmentation and attained impressive outcomes. This study presents a Multimodal Deep Feature Fusion Framework for Automated Brain Tumor Detection and Segmentation (MDFF-ABTDS) model. This objective is to develop a multimodal DL that integrates feature fusion and transformer networks for the precise detection and segmentation of BTs from medical images. Initially, image pre-processing is performed using Contrast Limited Adaptive Histogram Equalization (CLAHE) and image normalization. Feature extraction is carried out through fusion models such as CapsNet, ResNet-50, and AlexNet. These extracted features are then passed to a bi-directional convolutional long short-term memory combined with transformer (TBConvL-Net) models to classify tumors and non-tumors effectively. Finally, the tumor is classified to identify its location using the nnUNet model for a precise segmentation process. A series of experimental analyses of the MDFF-ABTDS method portrayed a superior accuracy value of 98.91% over existing models under the BT MRI dataset. Similar content being viewed by others References Ahmed, I., Ahmad, M., Chehri, A. & Jeon, G. From data to diagnosis: AI-driven multimodal fusion and generative AI-enhanced GAN-based MRI for brain tumour detection. Information Fusion, 126, p.103527. (2026). Sajid, S., Hussain, S. & Sarwar, A. Brain tumor detection and segmentation in MR images using deep learning. Arab. J. Sci. Eng. 44 (11), 9249–9261 (2019). Hossain, T., Shishir, F. S., Ashraf, M., Nasim, A. & Shah, F. M.
Apr 11, 2026 · via nature.com
Sharp's Poketomo launch in Taiwan illustrates how edge computing, combined with private cloud storage, is reshaping consumer AI devices, promising lower latency, enhanced privacy, and personalized, long-term interactions that could influence device...
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Apr 11, 2026 · via digitimes.com
Google's Gemma 4 puts free agentic AI on your phone and no data ever leaves the device Key Points - Google's open-source model Gemma 4 can process text, images, and audio entirely on-device and autonomously use tools like Wikipedia, interactive maps, or QR code generators through built-in agent skills. - The smaller smartphone variants E2B and E4B run on devices with just 6 and 8 GB of RAM respectively, deliver up to four times the speed of the previous generation according to Google, and serve as the foundation for the upcoming Gemini Nano 4 on Android. - All models are released under the commercially friendly Apache 2.0 license, developers can create and share custom skills via GitHub, and the free "Google AI Edge Gallery" app is available for both Android and iOS. Google's new open-source model, Gemma 4, processes text, images, and audio completely on-device. Using agent skills, the AI can independently tap into tools like Wikipedia or interactive maps, no cloud required. The Google AI Edge Gallery app needed to run the model is free on Android and iOS. Since Gemma 4 dropped, the app has shot up to fourth place among the most-downloaded free productivity apps in the iOS App Store, sitting right behind Claude, Gemini, and ChatGPT. Gemma 4 is built on the same research as Google's proprietary Gemini 3 model but ships under the commercially friendly Apache 2.0 license. Google says the Gemma family has racked up over 400 million downloads since the first generation launched. All models handle text, images, and audio across more than 140 languages. Four model sizes cover everything from phones to servers The latest release comes in four variants. E2B and E4B are built specifically for smartphones. The "E" stands for "effective parameters," meaning the number of parameters actually active during
Apr 11, 2026 · via the-decoder.com
Abstract Current graphic design style transfer technology mainly focuses on geometric or texture features, while ignoring overall beauty and artistic expression, resulting in a mismatch between style and content, poor detail processing, and a lack of artistic appeal and true style presentation in the generated design. To this end, this article proposes a graphic design style transfer and aesthetic optimization algorithm based on a generative adversarial network (GAN). First, a graphic design image database with diverse styles is constructed; the GAN architecture is improved through generators, discriminators, and pre-trained VGG (visual geometry group) networks; an efficient channel attention mechanism and optimized inversion residual blocks are applied to enhance the model’s ability to capture aesthetic features; an aesthetic scoring model is designed by combining the loss functions of content, style, and generated images to ensure the visual appeal of generated images; VGG-19 (Visual geometry group-19) networks are used for pre-training, and the neural network parameters are optimized through the Adam algorithm to achieve efficient model training. The results show that the average values of SSIM and MSE (mean square error) for the improved GAN in this article are 0.93 and 0.027, respectively, in terms of content retention; the average value of MSE is 0.020 in terms of style similarity; the average values of PSNR (Peak Signal to Noise Ratio) and SSIM are 34.33 and 0.91 respectively in terms of image clarity. The study shows that the proposed method can not only improve the aesthetic quality and diversity of style transfer but also ensure the stability of image content, providing new theoretical and technical support for the field of graphic design style transfer. Data Availability The data in the manuscript can be obtained by contacting the corresponding author upon reasonable request. References Zhang, H., Sindagi, V. & Patel, V. M. Image de-raining
Apr 11, 2026 · via nature.com
Following IPO, ROC is investing in homegrown security for US market In February, Colorado-based biometrics and vision AI provider ROC closed the first big biometrics IPO of 2026, raising just over $24 million at $6 per share. ROC CEO Scott Swann says it would have been faster to look to private markets for capital that could help it meet some of its objectives, as it expands the scope of its business . But the company “saw the IPO as infrastructure.” “We saw it as a way that we could scale in a really disciplined way. A big part of this was so that we could maintain our culture and our independence.” That same culture is part of what makes ROC appealing to shareholders. “I think that our growth story resonated with people as we described what we were trying to achieve,” Swann says. ROC has always positioned itself front and center as an American-made company. As global political and economic relationships take new shapes, it stands positioned to provide homegrown defense and security capabilities to the U.S. market. “The timing is right,” Swann says. “I think people understand supply chain more now than they ever have. And as we think about artificial intelligence, I think we’ve seen examples where bias can be built into these models. So, you have to have a lot of trust in the entity that builds these models out for you.” “And so, for us understanding the whole geopolitical environment today and being able to really be at the forefront of putting the United States as a leader in this position, that’s something we’re completely committed to doing.” Moving further afield from its origin as a components provider, ROC also recently launched biometric physical access control software, reflecting significant growth forecasted in the biometric physical access
Apr 11, 2026 · via biometricupdate.com
Abstract Concrete structures are a vital component of urban infrastructure, requiring regular maintenance to ensure public safety and structural integrity. A crucial element of this maintenance is the identification of surface cracks, which have traditionally relied on manual inspection methods that were frequently work-intensive, subjective, and sometimes dangerous. This work presents a hybrid methodology that integrates deep feature extraction with machine learning classification for identifying structural deterioration in concrete components. A publicly accessible dataset comprising photos of both cracked and uncracked concrete surfaces was used. Deep features were extracted using VGG16, a convolutional neural network widely recognized for its success in visual pattern recognition. Several machine learning algorithms were used for classification of these features, including Artificial Neural Network, Decision Tree, Random Forest, Support Vector Machines and k-Nearest Neighbors. The experimental results indicate that, the highest accuracy was achieved by SVM (99.883%), followed closely by ANN (99.873%), k-NN (99.598%), and DT (99.580%), while RF performed the lowest (98.050%). Although not limited to seismic applications, the proposed method has the potential to be integrated into post-earthquake structural assessment workflows as part of structural health monitoring systems. Using deep learning and machine learning methodologies to detect damage in concrete infrastructure may enhance efficiency and precision, enhancing urban resilience and risk mitigation. Data availability The dataset can be reached from this link in the public repository “Mendeley data” website https://doi.org/10.17632/5y9wdsg2zt.2, under the title “Concrete Crack Images for Classification”. References Tang, S. W., Yao, Y., Andrade, C. & Li, Z. Recent durability studies on concrete structure. Cem. Concr. Res. 78, 143–154. https://doi.org/10.1016/j.cemconres.2015.05.021 (2015). Zar, A. et al. Towards vibration-based damage detection of civil engineering structures: Overview, challenges, and future prospects. Int. J. Mech. Mater. Des. 20 (3), 591–662. https://doi.org/10.1007/s10999-023-09692-3 (2024). Kabir, S. Imaging-based detection of AAR induced map-crack damage in concrete structure. NDT E
Apr 11, 2026 · via nature.com
SUMMARY This is AI generated summarization, which may have errors. For context, always refer to the full article. Albert, a 68-year-old retiree, received a call noon on August 14, 2025. The call came at a perfect time because Albert needed a payment reference number (PRN) from his SSS (social security service) but he was having a challenging time logging on to his app. The caller knew his full name, his SSS number, and his address, and offered to assist him in downloading a supposed updated SSS app. The assistance came in the form of him clicking a link provided over Viber, followed by a very long installation process. In one-and-a-half hours, his three bank accounts and two cash wallets — all connected to his Android phone — were swiped. More than one million pesos in life savings gone. Albert never provided any personal detail like OTPs (one time passwords) or security codes. “My dad was depressed for the first few months,” Albert’s daughter Jobelle Garcia told Rappler. The scam is a banking trojan deployed through malware on Android which can control your device from a remote location, and it has been traced to scam compounds in Cambodia, according to a first-of-its-kind report by US-based cybersecurity firm InfoBlox, and Vietnamese cyber safety non-profit Chong Lua Dao. “We uncovered an Android banking trojan that is likely operated from multiple locations, including the K99 Triumph City compound in Cambodia,” said the report. This is the first time that strong evidence has been found to connect a specific type of malware to a physical location of a scam compound, and it was made possible by trafficked workers who escaped from the compound and took damning evidence with them. The malware The team found a “sophisticated malware-as-a-service (MaaS),” which is a high-end malicious tool sold
Apr 11, 2026 · via rappler.com
The Federal Government has approved the deployment of a contactless biometric passenger verification system, known as VPASS, across Nigeria’s domestic airports as part of efforts to strengthen aviation security, enhance data integrity, and improve revenue generation. The Honourable Minister of Aviation and Aerospace Development, Festus Keyamo, disclosed this during the signing of the concession agreement today 9th April, 2026 at the Ministry’s Conference Room in Abuja. He explained that the initiative is designed to eliminate discrepancies in passenger data arising from inconsistent airline records, while also addressing unauthorized boarding practices. Keyamo said the system will ensure that all passengers on domestic flights are properly identified, thereby closing existing gaps that allow individuals to bypass Standard Identification Procedures. Keyamo noted that while strict identity verification measures are already in place for international travel, the VPASS system extends similar standards to domestic operations. ADVERTISEMENT He added that the system will subsequently be expanded to cover private aviation, to further strengthening security oversight across the sector. Keyamo described the project as a comprehensive reform, emphasizing that it will promote transparency, accountability, and safety in Nigeria’s aviation industry. He added that implementation will begin with infrastructure deployment by the concessionaire, followed by a nationwide sensitization campaign to ensure public awareness and compliance. Keyamo commended key stakeholders, particularly the Infrastructure Concession Regulatory Commission (ICRC) and the Federal Airports Authority of Nigeria (FAAN), for their roles in advancing the initiative. In his remarks, the Permanent Secretary, of the Ministry , Mahmud Adamu Kambari, FCNA, FICA, reaffirmed the Ministry’s commitment to modernizing the aviation sector through innovative, technology driven solutions aimed at improving operational efficiency, strengthening security, and enhancing passenger experience. ADVERTISEMENT Earlier, the Director of Commercial and Business Development at FAAN, Mrs. Adebola Agunbiade, described the VPASS system as a strategic step towards eliminating reliance on
Apr 10, 2026 · via tvcnews.tv
Dating App OkCupid: US Authority Criticizes Secret User Data Transfer Sensitive data from millions of users allegedly ended up with a biometrics startup. The FTC lets those responsible get away with mild conditions. Match Group is said to have shared extensive user data from its dating app OkCupid, including almost three million photos, with the biometrics company Clarifai. According to the US Federal Trade Commission (FTC), the photos were sent to the then-startup in 2014 along with location data and other personal information. There, they were used to train image recognition software. The operators are also said to have concealed the data transfer for almost twelve years and deliberately denied it to the public and concerned users. Possible consequences for those affected would be that their biometric data remains permanently in facial recognition systems and they become identifiable in other contexts. Furthermore, conclusions could be drawn about other intimate details, especially if the information is linked with other data sources or resold to other companies. Settlement without penalty The majority of OkCupid users are from the United States. The FTC documents do not specify which other countries may be affected. Match Group, which claims to be the world leader in online dating, is active in Germany primarily with apps such as Tinder or Hinge. Following a lawsuit by the FTC, the supervisory authority has now reached a settlement with the operating companies Match Group and Humor Rainbow. The operators do not admit the allegations of unlawful data transfer but commit to stricter data protection regulations, for which a fine is to be waived. Clarifai, in which the OkCupid founders were personally involved as investors, is said to have requested the data and received it without consideration and with no restrictions on its use. The affected users of the dating app
Apr 10, 2026 · via heise.de
Americans traveling to Europe are now encountering major changes at border crossings as the European Union’s long‑planned Entry/Exit System (EES) has officially come into force. The new system replaces traditional passport stamps with biometric checks, including fingerprints and facial scans, and is now fully operational across participating countries. The EES, which began limited rollout in late 2025, became fully active at airports and other external border points on April 10, 2026, according to the European Commission. Millions of U.S. travelers heading to Europe for vacations, business trips, cruises, and short stays are now subject to the updated procedures. What Has Changed As of April 10, border authorities across 29 Schengen Area countries—including France, Germany, Spain, Italy, Portugal, and Greece—are enforcing the new digital system. These countries, which allow passport‑free movement within their borders, now record all non‑EU entries and exits in a centralized database. The EES logs travelers’ biometric data and movement history, replacing the manual passport stamps used for decades. Who Must Use the New System The system applies to all non‑EU nationals entering participating countries for short stays of up to 90 days within any 180‑day period. This includes Americans traveling visa‑free for tourism, business, or family visits. EU officials say the system is designed to curb identity fraud, track overstays more effectively, and identify individuals who may pose security risks. Travelers entering the EU from the UK on routes where EU border checks occur on British soil—such as Eurostar services from London St Pancras, the Port of Dover, and the Eurotunnel terminal in Folkestone—now complete EES registration before departure. No biometric collection occurs in the United States. Passport Stamps Are Gone For U.S. travelers, one of the most noticeable changes is the elimination of passport stamping. Instead, border officers now collect: - Fingerprints - Facial scans -
Apr 10, 2026 · via newsweek.com
Trying to guess who someone is from their childhood photo is weirdly addictive. We’ve already done it with the world leaders, and it’s wild how much some of them still look exactly the same. That got me thinking: can you recognize former and current actors just from pictures of them as kids? Let’s see how good your guessing skills really are.
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Apr 10, 2026 · via buzzfeed.com
Yamaha upgrades DXR/DXS and CXR/CXS mk3 series Yamaha upgrades DXR/DXS and CXR/CXS mk3 series The DXR mk3 powered loudspeakers and DXS mk3 powered subwoofers – along with their CXR/CXS mk3 unpowered counterparts – have been designed for live music, DJ sets, speeches and corporate events. The DXR mk3 range is available in three models: the DXR15, DXR12 and DXR10. Respectively featuring high durability 15-, 12- and 10-inch low-frequency drivers with 1.75-inch high-frequency units, all models are housed in a lightweight, injection-moulded enclosure. As well as weight reduction, this attenuates cabinet resonance, with optimised port positions to reduce standing wave effects. The DXS mk3 subwoofers share the same 96kHz DSP, power supply and rear LCD panel design, with a 2,500W Class-D amplifier and long-excursion 18-, 15- or 12- bass cones, plus 4-inch (DXS18 mk3) or 3-inch voice coil. The DXS18, DXS15 and DXS12 are housed in durable, acoustically optimised plywood cabinets with a scratch-resistant polyurea coating. All feature switchable D-XSUB processing for extended low-frequency reproduction down to 32–38Hz. The CXR mk3 and CXS mk3 series are unpowered versions of the DXR/DXS range, primarily intended for installation, fixed system and corporate event applications, such as situations where nearby power sources may be limited. The SWX3220-30TCs and SWX2322P-30MC switches comes with support for 100/25 Gigabit and Multi-Gigabit Ethernet. The SWX3220-30TCs 100G/25G standard L3 switch ensures stable, low-latency transmission of audio and video signals. Fibre connections provide noise resistance and long-distance coverage. An IEEE 1588 PTPv2 Boundary Clock (BC) enables the construction of highly accurate media synchronisation environments. The SWX2322P-30MC 100G/25G intelligent L2 PoE switch can be used to distribute between FOH and stage-side locations, allowing flexible signal routing and high-density encoder/decoder connections with PoE++. In corporate facilities, it supports AV systems spanning multiple floors or departments. The manufacturer has also expanded ProVisionaire Cloud,
Apr 10, 2026 · via proavl-asia.com
Drug dealer busted after sending picture of new 'Turkey teeth' to friend A drug dealer who was caught after sending a photo of his "Turkey teeth" to a friend has been jailed for four years. Coran Davies, 23, sent the picture to his friend, whose phone had been confiscated due to a separate police investigation, from a dentist's chair in Turkey after getting new teeth, alongside messages about supplying cocaine and cannabis. He was identified using facial recognition and arrested in March from his car, alongside passenger Dale Howell, 25, both from Porth, Rhondda Cynon Taf. Officers discovered drugs and thousands of pounds in cash in their possession. Both pleaded guilty to multiple offences and were sentenced on Thursday at Merthyr Crown Court. When Davies sent the picture to his friend, he did not know that their phone was under police analysis. Then on 7 March, officers stopped Davies driving in Tonypandy and arrested him and passenger Howell. At Merthyr Magistrates Court on 9 March, Davies pleaded guilty to multiple offences, including cannabis supply, driving without insurance or a licence, possessing criminal property, and intent to supply cocaine. Howell pleaded guilty to two offences, including possessing criminal property and intent to supply cocaine. Davies was jailed for 48 months and Howell was jailed for 36 months.
Apr 10, 2026 · via bbc.com
Facial recognition has quietly moved from science fiction into everyday life. Whether you’re unlocking your phone, verifying identity in a banking app, or running a reverse face search online, this technology is working behind the scenes—fast, precise, and increasingly intelligent. But here’s the thing: not all facial recognition tools are built the same. Some are designed for enterprise-grade security, others for developers, and a growing number focus on face search and online identity tracking. What is Facial Recognition Technology? Facial recognition is a form of biometric authentication that identifies a person by analyzing their facial features. It works by capturing an image, extracting key facial points (like eyes, nose, and jaw structure), and converting them into a unique digital signature—often called a faceprint. Top 7 Face Search Tools in 2026 (Tested & Compared) Face search technology has evolved rapidly. What started as simple reverse image lookup has now become AI-powered facial recognition capable of identifying individuals across billions of web pages. FaceCheck.ID – Best for Accuracy & Identity Verification FaceCheck.ID consistently ranks as one of the most accurate face search tools available today. Key Features - Detects faces from low-quality, blurred, or masked images - Finds matches across news, social media, and public records - Provides direct source links - Flags suspicious matches (scams, fake identities) Why It Stands Out - Scored 79/80 in real-world testing, outperforming competitors - Excellent for catfish detection and OSINT investigations Best For - Journalists, investigators, and identity verification 2. PimEyes – Best for Large Image Database PimEyes is one of the most well-known facial recognition tools, powered by a massive index of publicly available images. Key Features - Searches billions of web images - Fast results (often under 10 seconds) - Reverse face search with similarity scoring Pros - Strong performance on clear, front-facing
Apr 10, 2026 · via mexc.co
According to multiple reports, University of South Florida assistant coach Oliver Antigua has resigned. ESPN reported earlier today that the NCAA investigating the USF men’s basketball team for possible academic fraud issues. Shortly after that story broke, the news of Antigua’s resignation was confirmed by school officials. South Florida also released the following statement:
“The University of South Florida and the NCAA enforcement staff are working together to investigate and resolve an inquiry into potential violations of NCAA bylaws and university standards by one of our intercollegiate athletic programs.”
“Because the University of South Florida is committed to protecting the integrity of the investigation and ensuring those involved receive fair treatment, we cannot provide any details about the investigation at this time.”
Antigua, the brother of USF head coach Orlando Antigua, had been on the Bulls staff for the past two seasons. He has also worked as an assistant at Seton Hall and Manhattan.
More on this story as it develops.
Apr 10, 2026 · via hoopdirt.com
Killjoys and scatterbrains might have propelled the evolution of the human species. This is, essentially, the theory proposed by linguist Ljiljana Progovac in a new paper published in PNAS Nexus. Progovac argues that clever verb-noun compounds like killjoy—which has a bit more punch than joy killer—were the earliest forms of verbal wit and helped the species survive. They enabled our ancestors to both soothe tempers with humor and compete with words rather than with fists. The wittier the human, the more likely that human would survive. One point of evidence: In brain scans, Progovac and colleagues have found that these compound words produce a stronger effect in a part of the brain called the fusiform gyrus than when the words are separated—particularly a part of the brain thought to be responsible for visual processing and metaphor as well as facial recognition. I spoke with Progovac about so-called spin-buts and burst-cows, about why she calls these compound words living fossils, and how she arrived at her theory. We also talked about how verbal cleverness relates to intelligence and the election of leaders, and whether she thinks of herself as witty. What’s the wittiest thing anyone has ever said to you? I can’t answer that question. These things, they’re in the moment, they happen and they come and they go, and you don’t necessarily even remember them. But there are certain compound words that I find especially witty. There are hundreds, thousands of them, actually. They’re also transient. They were created, used for a while, and then they disappeared. They go out of use. One of the reasons is that many of them are obscene. They refer to body parts and body functions. What were the origins of these compounds? One thing that I noticed, which I find really compelling, is compounds
Apr 10, 2026 · via nautil.us
A new (8 April 2026) rapid response report from the Parliamentary Office of Science and Technology examines the issue of facial recognition technology in policing. UK police forces have used facial recognition technology for around a decade now and the report asks the key questions: - How does it work? - How is it used? and - What are the opportunities and concerns? What is facial recognition? While we might all think we know the answer to this question; it is very helpful to be walked through the process with clarity. Facial recognition technology (FRT) is a biometric technology that estimates the degree of similarity between two faces. UK police forces use FRT to help identify people. FRT identifies people by checking an image of a person against a list of known individuals to find matches. FRT uses artificial intelligence (AI) and machine learning to train systems to recognise faces. FRT speeds up identification and frees up police time. FRT can be broadly organised into three steps: - Input and facial detection: an image of a face is captured and uploaded. - Features extraction: facial features are extracted and translated into a numerical template. - Classification: the numerical template is used to create a ‘similarity score’ with other numerical templates in a database to verify or identify a person. Similarity scores indicate the similarity between someone’s numerical template and a numerical template in a database. Types of numerical templates in databases include ID records or people wanted by the police. The infographic below shows the process. Three types of facial recognition technology used by the police UK police forces primarily use FRT software from private sector companies including NEC, Cognitec and Idemia. Police use three types of FRT: - Retrospective Facial Recognition (RFR): RFR is used across UK police forces
Apr 10, 2026 · via russellwebster.com