WASHINGTON — Following a successful blast off from Earth, the Artemis II crew shared the first image of Earth from the Orion spacecraft. NASA released the image early Thursday, the second day of the 10-day trip around the moon before making their way back to Earth. Artemis II 1st image of Earth from Orion spacecraft: Artemis II launched on Wednesday from the same Florida launch site that sent Apollo’s explorers to the moon so long ago. The handful still alive cheered this next generation’s grand adventure as the Space Launch System rocket thundered into the early evening sky, a nearly full moon beckoning some 248,000 miles away. Artemis II commander Reid Wiseman led the charge into space with “Let’s go to the moon!” accompanied by pilot Victor Glover, Christina Koch and Canada’s Jeremy Hansen. It was the most diverse lunar crew ever with the first woman, person of color and non-U.S. citizen riding in NASA’s new Orion capsule. The 32-story rocket rose from NASA’s Kennedy Space Center where tens of thousands gathered to witness the dawn of this new era. Crowds also jammed the surrounding roads and beaches, reminiscent of the Apollo moonshots in the 1960s and ’70s. It is NASA’s biggest step yet toward establishing a permanent lunar presence. 'A beautiful moonrise,' Commander Reid Wiseman said. Five minutes into humanity’s first flight to the moon in 53 years, Commander Reid Wiseman saw the team’s target: “We have a beautiful moonrise, we’re headed right at it,” he said from the capsule. When will Artemis II reach the moon? On flight day six, Orion will reach its farthermost point from Earth as it sails 4,000 miles (6,400 kilometers) beyond the moon. That will surpass Apollo 13’s distance record, which would make Artemis astronauts the most remote travelers. Apollo 13 set the
Apr 3, 2026 · via 13wmaz.com
By MELISSA GOLDIN and BARBARA WHITAKER Artificial intelligence-generated content is everywhere these days, making it increasingly difficult to separate fact from fiction, particularly when it comes to breaking news. Look no further than the Iran war. Since the U.S. and Israel attacked Iran on Feb. 28, researchers have identified an unprecedented number of false and misleading images that were generated using artificial intelligence and have reached countless people around the world. Among them, fake footage of bombings that never happened, images of soldiers who were supposedly captured and propaganda videos created by Iran that depict President Donald Trump and others as blocky, Lego-like miniatures. Thursday, the 10th annual International Fact-Checking Day, provides a good opportunity to look at these evolving challenges. Misinformation created with AI is being shared with unprecedented speed from an endless number of sources. From the outset of the Iran war, accounts from all sides of the conflict promoted such content. The Institute for Strategic Dialogue, which tracks disinformation and online extremism, has been examining social media posts around the Iran war. Among their findings was a group of X accounts that regularly post AI-generated content and collectively gained more than 1 billion views since the conflict began. This was done by roughly two dozen accounts, many of which had blue check verification. Here are some tips for distinguishing AI-generated content from reality in an online world where that continues to get harder. Look for visual cues When AI-generated images first began spreading widely online, there were often obvious tells that could identify them as fabricated. Perhaps a person had too few — or too many — fingers or their voice was out of sync with their mouth. Text may have been nonsensical. Objects were frequently distorted or missing key components. As the technology continues to evolve,
Apr 2, 2026 · via orlandosentinel.com
Patricia M. Sullivan, Senior Executive Service (SES), receives a standing ovation from the U.S. Army Engineer Research and Development Center (ERDC) team in recognition of her more than 41 years of dedicated service. (U.S. Army Corps of Engineers photo by Jared Eastman)
| Date Taken: | 03.31.2026 |
| Date Posted: | 04.02.2026 11:27 |
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This work, Sullivan honored at ERDC retirement ceremony [Image 2 of 2], by Jared Eastman, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Apr 2, 2026 · via dvidshub.net
Abstract Inter-camera person re-identification (re-ID), is the process of identifying people in a surveillance system from various camera perspectives. It involves confirming person identification throughout several cameras and navigating limitations like transferring lighting, converting views, and occlusions all important for safety and monitoring applications. Managing differences in camera angles, occlusions, and illumination may be difficult. These elements may cause mismatches among people, which could decrease the re-ID system’s basic efficacy. This research proposed a novel technique to enhance Single Shot Unsupervised Domain Adaptation for Inter-camera Person Re-ID to address this problem, proposed work consists of Preprocessing, and Classification. Initially the preprocessing is applied via Augmentation the use of Cycle GAN, Noise reduction the use of Median Filter, and Enhance Image contrast using Histogram Equalization (HE). Using those preprocessed data, the Siamese Network is trained under the Classification stage. To further enhance the procedure inside the Siamese Network, utilize Conv50 and Conv152. The Python platform is used to develop the suggested model, and performance metrices are used to evaluate the model’s effectiveness. Similar content being viewed by others Introduction Inter-camera person re-ID is a computer vision issue, that refers to the processes of re-identifying humans across different cameras used in surveillance systems1. Overcoming adjustments in point of view, lighting, image resolution, and occlusions is vital. In this regard, the purpose is to suit one particular character identified in a given surveillance community camera frame to the equal individual performing in any other camera frame with utmost accuracy2,3. Hence, state-of-the-art techniques like deep neural networks, metric learning, and feature extraction are usually used to solve this problem. Inter-camera person re-ID allows people to be accompanied in several locations and makes surveillance systems powerful and efficient inside the surveillance of public places and public safety4. It has vast programs, from protection and public
Apr 2, 2026 · via nature.com
By MELISSA GOLDIN and BARBARA WHITAKER Artificial intelligence-generated content is everywhere these days, making it increasingly difficult to separate fact from fiction, particularly when it comes to breaking news. Look no further than the Iran war. Since the U.S. and Israel attacked Iran on Feb. 28, researchers have identified an unprecedented number of false and misleading images that were generated using artificial intelligence and have reached countless people around the world. Among them, fake footage of bombings that never happened, images of soldiers who were supposedly captured and propaganda videos created by Iran that depict President Donald Trump and others as blocky, Lego-like miniatures. Thursday, the 10th annual International Fact-Checking Day, provides a good opportunity to look at these evolving challenges. Misinformation created with AI is being shared with unprecedented speed from an endless number of sources. From the outset of the Iran war, accounts from all sides of the conflict promoted such content. The Institute for Strategic Dialogue, which tracks disinformation and online extremism, has been examining social media posts around the Iran war. Among their findings was a group of X accounts that regularly post AI-generated content and collectively gained more than 1 billion views since the conflict began. This was done by roughly two dozen accounts, many of which had blue check verification. Here are some tips for distinguishing AI-generated content from reality in an online world where that continues to get harder. Look for visual cues When AI-generated images first began spreading widely online, there were often obvious tells that could identify them as fabricated. Perhaps a person had too few — or too many — fingers or their voice was out of sync with their mouth. Text may have been nonsensical. Objects were frequently distorted or missing key components. As the technology continues to evolve,
Apr 2, 2026 · via bostonherald.com
02 Apr AI INSURANCE KEYNOTE SPEAKER: INSURTECH FUTURIST & ARTIFICIAL INTELLIGENCE EXPERT Celebrity AI insurance keynote speakers and Insurtech futurist consultants focus on the major trends transforming how insurers assess risk, serve customers, and operate in an increasingly digital ecosystem. Pros’ general aim as the best AI insurance keynote speakers is to help carriers, brokers, and insurtech leaders understand how artificial intelligence is remaking the industry and what steps are needed to stay competitive. Topping the most important trends they cover is smart underwriting and risk assessment. Machine learning models can analyze vast datasets—from historical claims to real-time behavioral data—allowing insurers to price policies more accurately and reduce exposure. Leading firms that top AI insurance keynote speakers cover like Allianz and AXA are highlighted for adopting advanced analytics to improve underwriting precision. Also a leading area is claims automation and fraud detection. Automation enables faster claims processing through image recognition, natural language processing, and predictive analytics. This not only reduces operational costs futurist AI insurance keynote speakers argue but also enhances customer satisfaction by speeding up payouts. At the same time, AI helps detect suspicious patterns, minimizing fraudulent claims. Personalization and customer experience is also a major theme. IT allows insurers to tailor policies, pricing, and communication based on individual behavior and preferences. This shift toward hyper-personalization global AI insurance keynote speakers adviseis helping companies move from reactive service models to proactive engagement, offering customers more relevant and timely solutions. Consulting experts frequently explore the rise of insurtech and ecosystem partnerships. Startups and technology providers are introducing innovative models, from usage-based insurance to embedded insurance products. Traditional insurers are increasingly collaborating with these disruptors international AI insurance keynote speakers posit to accelerate innovation and expand their capabilities. Ethics, regulation, and data privacy are critical considerations as well. Advisors address the
Apr 2, 2026 · via futuristsspeakers.com
GoSpotCheck by FORM Earns Global Recognition for Results-Driven Artificial Intelligence AI awards recognize companies that have evolved from reactive intelligence to autonomous execution BOSTON, April 2, 2026 /PRNewswire/ -- FORM, a leading provider of mobile task management and AI-powered retail execution solutions, earned a 2026 Artificial Intelligence Excellence Award today for its flagship solution, GoSpotCheck. The award was created by The Business Intelligence Group, a global recognition program honoring the companies, products, and teams defining what responsible, results-driven artificial intelligence looks like in practice. GoSpotCheck was honored in the 'computer vision' category. "The 2026 AI Excellence Award winners are not talking about AI. They are building with it," said Russ Fordyce, Chief Recognition Officer at the Business Intelligence Group. "What stood out this year was the sheer accountability of the work. These are organizations and individuals who can point to measurable outcomes - lives protected, fraud prevented, patients helped, workflows transformed. Agentic AI emerged as the dominant theme, which tells you something important: the industry has moved past prompts and pilots. The winners are now orchestrating AI systems that act, adapt, and deliver at scale." GoSpotCheck by FORM is a leading AI-powered operational intelligence platform designed for Retail and Consumer Goods, specifically engineered to bridge the data gap between planned programs and in-store execution. By combining enterprise-grade mobile task management with computer vision, GoSpotCheck transforms how the world's largest field execution teams monitor and improve "shelf health" in real-time. "2026 has already been a landmark year for FORM, especially with our new merger with Trax, and this recognition reflects the momentum we're building across every dimension of our business," said Ali Moosani, CEO of FORM. "From AI innovation to our expanding global footprint, we remain committed to redefining what's possible in our industry, and to the exceptional team making it
Apr 2, 2026 · via prnewswire.com
Cybersecurity pro demonstrates IAD importance for facial recognition at RSAC 2026 Jake Moore believes the identity stack is broken. But instead of just willing his belief into reality, the global cybersecurity advisor for ESET demonstrated why his assertion has truth. At the RSAC 2026 Conference in San Francisco, Moore delivered an entertaining and enlightening session titled “Facing Reality: Hacking Facial Recognition” that illuminated how AI tools are affecting security. His demonstration clearly illustrated the importance of biometric Presentation Attack Detection (PAD) and Injection Attack Detection (IAD). He did this by conducting tests and experiments. Opening a bank account using an AI-enabled false identity, for example, or tricking a facial recognition system into believing that he is Tom Cruise. He conducted these tests — with the aid of a lawyer friend to avoid legal trouble – on institutions that the general public interacts with. In Moore’s opinion, the market has adopted facial recognition technology “a little bit too early.” He wanted to make a point about how exposed people have become in an era of affordable facial recognition and off‑the‑shelf AI tools. Prior to ESET, Moore worked for 14 years in the UK police’s Digital Forensics and Cyber Crime Unit. Experimenting with bank accounts, live CCTV feeds, with Amy’s legal help So, with the blessing of a lawyer friend named “Amy,” he ran a simple experiment. He uploaded Amy’s face into PimEyes — a public facial‑search engine — to see where her image appeared online. The results, he told the audience, were a reminder of how easily a stranger could gather material for social engineering attacks without technical know-how. From there, Moore escalated the demonstration. He bought a pair of Meta Ray‑Ban smart glasses, the kind with a built-in camera and real‑time information features. Then he paired them with a colleague
Apr 2, 2026 · via biometricupdate.com
Abstract Every day, we encounter numerous photographs of faces, whether on social media, television, or smartphones. From an evolutionary perspective, faces are particularly salient and tend to be remembered, likely due to their relevance for survival and social interaction. However, not all face photographs have the same likelihood of being remembered. While some research has explored the features that contribute to face memorability, this area remains largely uncharted. Here, we propose a fast approach to control the memorability of face images. Our approach begins by identifying a hyperplane in the latent space of StyleGAN that separates high and low memorable images. We then adjust the memorability of an image by shifting it along the positive or negative direction of this hyperplane’s normal vector. Analyzing the StyleGAN augmented latent space reveals the impact of individual face attributes on an image’s memorability. A unique aspect of our work is that it is successful on both real and synthesized face images. Furthermore, our method is not restricted to face photographs; we show its success in modifying the memorability of images of various categories. Finally, we propose a new multi-level memorability modification technique, which assists in modifying the memorability scores while maintaining the identity of the face images. Similar content being viewed by others Data availability The codes and models trained and/or analyzed during the current study are publicly available in https://github.com/mamyou96/FaceMem.git. References Isola, P., Xiao, J., Torralba, A. & Oliva, A. What makes an image memorable? In CVPR 2011 145–152 (IEEE, 2011). Bainbridge, W. A., Isola, P. & Oliva, A. The intrinsic memorability of face photographs. J. Exp. Psychol. Gen. 142(4), 1323–34 (2013). Isola, P., Xiao, J., Parikh, D., Torralba, A. & Oliva, A. What makes a photograph memorable?. Pattern Anal. Mach. Intell. IEEE Trans. 36, 1469–1482 (2014). Newman, A. et al. Multimodal
Apr 2, 2026 · via nature.com
Abstract 3D digital image correlation (3D-DIC) is a pivotal non-contact full-field measurement method in experimental mechanics. Traditional 3D-DIC systems rely on multi-camera setups, which face challenges such as high hardware costs, complex synchronization, and limited stereo matching accuracy. Single-camera stereo vision mitigates synchronization issues but introduces inherent resolution loss, compromising measurement accuracy. To address this, we propose LaESR-Diff, a super-resolution diffusion model integrating an optimized enhanced super-resolution generative adversarial network (ESRGAN) with Laplacian noise scheduling. The LaESR-Diff model employs an optimized ESRGAN to generate conditional inputs, enhancing residual-in-residual dense blocks (RRDBs) and incorporating a zero-mean normalized cross-correlation (ZNCC) loss term for speckle image fidelity. A Laplacian noise schedule replaces traditional linear/cosine schedules to preserve high-frequency textures. A dual evaluation system combines general image metrics and 3D-DIC-specific accuracy metrics. Experiments on the “Stereo-DIC Challenge 1.0” dataset show LaESR-Diff achieves PSNR = 26.13 and SSIM = 0.7423 at × 8 scale, reducing surface height and displacement errors by 58.6% and 67.2%, respectively, compared to bicubic interpolation. Laboratory tensile tests confirm LaESR-Diff reduces full-field displacement error in a quadrangular-prism-based virtual stereo system (QVSS) from 4.25% to 1.71%, nearing the basic stereo system (BSS) accuracy. The results demonstrate that the proposed method effectively compensates for the accuracy degradation caused by resolution loss in single-camera systems. This study provides an effective solution for single-camera 3D-DIC accuracy enhancement, with potential applications in other image-based non-contact measurement fields. Data availability The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request. References Strungar, E. M., Yankin, A. S., Zubova, E. M., Babushkin, A. V. & Dushko, A. N. Experimental study of shear properties of 3D woven composite using digital image correlation and acoustic emission. Acta Mech. Sin. 36, 448–459. https://doi.org/10.1007/s10409-019-00921-7 (2020). Luo, H., Yu, L. & Pan, B. Design and
Apr 2, 2026 · via nature.com
FTC Says OkCupid Shared Three Million User Photos with Facial Recognition Firm Dating app OkCupid shared nearly three million user photos with a facial recognition company without informing users, according to a settlement with the U.S. Federal Trade Commission (FTC). Match Group, which owns platforms including Tinder, OkCupid, and Match.com, agreed to resolve an FTC lawsuit alleging that it improperly shared millions of users’ personal data — including photos used to train facial recognition technology — without consent. According to a report by The Verge, OkCupid and its parent company did not admit wrongdoing as part of the settlement, but agreed not to make similar alleged misrepresentations in the future. The FTC’s complaint states that after facial recognition company Clarifai contacted one of OkCupid’s founders in 2014, the app provided access to nearly three million user photos, along with demographic and location data. At the time, Clarifai was developing image recognition systems that rely on large datasets to train algorithms, a practice that has become widespread but has also raised concerns about consent and transparency in the AI industry. The FTC alleged that sharing the data violated OkCupid’s own privacy policy because users were not given an option to opt out. It also claimed that OkCupid and Match later attempted to obscure their relationship with Clarifai when The New York Times inquired about the arrangement for a story. OkCupid’s settlement does not include financial penalties and does not directly address the data allegedly shared with Clarifai. However, the companies agreed not to misrepresent how they collect or share user data and will be subject to compliance monitoring, which could lead to further action if violations occur once the order is approved by a court. FTC Consumer Protection Bureau Director Christopher Mufarrige says in a statement that the settlement shows the
Apr 2, 2026 · via petapixel.com
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Apr 1, 2026 · via youtube.com
In an era defined by rapid technological advancement, facial recognition search is emerging as a powerful tool that is reshaping how individuals and organizations identify, verify, and interact with digital information. By leveraging advanced algorithms and artificial intelligence, facial recognition search enables systems to analyze facial features and match them against vast image databases with remarkable speed and accuracy. Facial recognition search works by mapping key facial landmarks—such as the distance between the eyes, nose shape, and jawline—to create a unique digital signature. This data is then compared with stored images to identify or verify a person’s identity. The facial recognition search technology has seen significant improvements in recent years, driven by innovations in machine learning and neural networks, making it more reliable and scalable across industries. One of the most impactful applications of facial recognition search is in security and law enforcement. Authorities can use the technology to locate missing persons, identify suspects, and enhance public safety measures. Airports, transportation hubs, and large public venues are increasingly adopting facial recognition systems to streamline identity verification and reduce wait times, while also improving overall security. Beyond security, facial recognition search is gaining traction in the commercial sector. Businesses are integrating the technology into customer experience strategies, enabling personalized services, seamless check-ins, and secure transactions. For example, some financial institutions and mobile applications now use facial recognition as a form of biometric authentication, offering users a convenient and secure alternative to passwords. The technology is also proving valuable in digital content management. Facial recognition search allows users to locate specific individuals within large photo libraries or video archives quickly. This capability is particularly useful for media companies, law firms, and organizations that manage extensive visual data. It enhances efficiency and reduces the time required to organize and retrieve information. Healthcare is
Apr 1, 2026 · via markets.financialcontent.com
By: Ethan Kramer FARGO, N.D. (Valley News Live) – A Tennessee grandmother spent months behind bars after facial recognition technology wrongly identified her in a bank fraud case, and now one of her attorneys is speaking out about a potential lawsuit. Angela Lipps was jailed in Tennessee, then transferred to North Dakota before the charges were ultimately dismissed. Fargo Police have not apologized and say their investigation is still ongoing. Eric Rice, one of Lippsâ attorneys, said they are gathering records from multiple agencies as they consider legal action. âWeâve requested a number of records, some agencies have provided them, others have not but weâre trying to have the best look before we move forward,â Rice said. An email obtained by Valley News Live showed six Fargo detectives were notified of Lippsâ arrest in July â nearly five months before Fargo Police say they knew she was in custody. âItâs my understanding that the fugitive task force in the Fargo area was notified that Angela was arrested. So at least some local enforcement appeared to have been notified that Angela was arrested around the time she was,â Rice said. Charges against Lipps were dismissed on Christmas Eve after her attorney produced bank records proving she was in Tennessee at the time of the alleged crimes. Rice said dismissal is not the same as being cleared. âItâs not like the department issued a letter of apology or said Angela youâre clear we wish you well â instead the department appears to say it was dismissed without prejudice and that Angela remains a person they are investigating. I havenât seen any evidence in the file that Angela is connected to this in any way,â Rice said. Rice said they are pursuing potential civil rights claims, though no lawsuit has been filed. He
Apr 1, 2026 · via wdayradionow.com
H&M’s image recognition tool is coming to more markets, as the retailer seeks to elevate consumers’ shopping experiences worldwide. On Oct. 26, H&M announced plans to expand its Image Search tool—a digital asset that helps consumers locate clothes they find on social media or other online platforms and buy similar items in the H&M mobile app. The tool, which first launched in May and is currently available in 13 markets, will become more available to global consumers in the coming months. [Read more on H&M’s latest moves: H&M Bets on These Sustainability Innovators to Help it Dial Back Fast Fashion’s Impacts] Powered by self-learning algorithms, Image Search lets consumers move directly from online style inspiration—including social media posts and digital screenshots—to making purchases via the H&M mobile app. To use the tool, consumers can feed a picture of a style they like to the app and the app will instantly present similar products available on H&M’s website. Consumers can access the special feature by clicking the camera icon in the top right corner of the H&M mobile app. Joining H&M’s other digital features, including #HM Gallery and My Style, Image Search takes a consumers’ accessory, apparel or footwear search to the next level by providing them with convenient, personal product choices on H&M’s site. With the tool, consumers can ramp up their wardrobes while having unlimited access to H&M’s other digital resources on their phones—including the retailers’ 23 million Instagram followers.
Apr 1, 2026 · via wwd.com
EXCLUSIVE: Exposing the FBI’s Human Experimentation Studies "Who has my saliva from ten years ago?" On the FBI studies involving serial killers, twins, facial recognition, and genetics “You’re only going to create a real problem for an FBI employee if you call ‘em direct this way.” Senior FBI official Thomas Gregory Motta was upset that I dared to call him to talk about the bureau’s hidden experiments on humans. He joined the bureau in 1998 and was promoted to the FBI’s senior ranks nearly 20 years ago. During his tenure, the bureau has grown proficient at snooping on journalists — as documented in a secret government report published by Racket — without having to face their questions. Motta is a decorated FBI veteran, credited with an intelligence community award in 2007 for modernizing the American government’s most important foreign espionage tool and having worked on the secretive “going dark” national surveillance program. After internal criticism surfaced more than a decade ago involving the bureau’s experiments on humans, the FBI put Motta in charge of an internal team revamping its approach to human subjects research. In 2023, Motta delivered a presentation detailing the government’s work on secret human experiments, going all the way back to a catastrophic project that saw a CIA scientist drugged with LSD plunging to his death from a hotel room window 70 years earlier. The government labeled his presentation, “NOT AUTHORIZED FOR POSTING ON THE INTERNET.” Here is Motta’s presentation to the Public Responsibility in Medicine and Research conference, posted on Racket in full, with only Motta’s personal information removed: Among the types of human experiments undertaken by the FBI, as detailed by Motta, are research involving facial recognition studies and algorithm testing, genetics, violent extremism, interrogation science, and more. What is the bureau’s “oldest, continuous human
Apr 1, 2026 · via racket.news
Figures Abstract Aiming at the imbalance between accuracy and real-time of existing fatigue driving detection models, and the accuracy is lower in low illumination, an LDIE-FDNet (Lightweight Dynamic Image Enhancement-Enabled Real-time Fatigue Driving Detection Network) is designed. Enhance the image by MSR-LIENET (Multi-Scale Retinex-Based Low-Light Image Enhancement Network); Through GSConv_C3k2 module, lightweight design, efficient capture of remote context information, reduction of parameters and calculation, and variable convolution kernel design and feature segmentation and mosaic are adopted to enhance feature extraction ability; Through DHFAR-Net (Dynamic Hierarchical Feature Aggregation and Reconstruction Network), combined with DySample and SDI (Semantic and Detail Infusion), the semantic information and detail information are enhanced. Through multi-level feature fusion, the model can better capture the information of various targets, reduce the situation of missing detection and false detection, thus improving the overall detection effect, and does not need high-resolution boot features as input. It has lower reasoning delay, memory occupation, floating-point operation times, and parameter number; Through the PIoU (Powerfull-IoU) loss function, IoU is calculated pixel by pixel, which can better optimize the positioning of rotating rectangular frames and deal with high aspect ratio targets, reduce the overlap of background areas and improve the detection effect. Finally, a fatigue driving detection model including maximum closing time (MCT) and maximum yawn duration (MYD) is proposed. Experiments show that mAP increases by 0.6% to 99.2, Params reduce by 24%, GFLOPs increase by 14.3% and FPS increases by 23.1% on the YawDD data set. On the DMS data set, mAP increased by 0.7% to 92.9, Params reduce by 24%, GFLOPs increased by 14.3%, and FPS increased by 20.5%. The proposed method enhances both accuracy and efficiency in fatigue detection while effectively balancing precision with real-time performance. Citation: Dong C, Zhang T, Liu J (2026) LDIE-FDNet: Lightweight dynamic image enhancement-enabled real-time fatigue
Apr 1, 2026 · via journals.plos.org
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Apr 1, 2026 · via youtube.com
Axis Bank Introduces Aadhaar Face Authentication for Mobile Number Updates on App The move aligns with a broader shift toward digital identity verification in India, where Aadhaar-based authentication, including facial recognition, is increasingly being used for secure and remote validation. Axis Bank has launched a new digital feature that allows customers to update their registered mobile number using Aadhaar-based face authentication, removing the need to visit a branch. The service is available through the bank’s mobile banking app and is being positioned as a self-service, do-it-yourself (DIY) journey. With this, Axis Bank becomes one of the first major banks in India to integrate UIDAI’s face authentication system for such a critical customer update process. The move aligns with a broader shift toward digital identity verification in India, where Aadhaar-based authentication, including facial recognition, is increasingly being used for secure and remote validation. How the process works The update process is designed as a three-step flow within the app. Users first enter the new mobile number they want to register. They are then required to complete Aadhaar Face Authentication, which involves capturing a live image using the front camera. This image is matched with the photograph stored in the Aadhaar database to verify identity. Advertisement Once authentication is successful, an OTP is sent to the new mobile number, which needs to be validated to complete the update. This combination of biometric verification and OTP ensures compliance with two-factor authentication requirements, which are increasingly being adopted across digital financial services. Advertisement Why Aadhaar face authentication matters Face authentication is emerging as a key alternative to traditional verification methods such as OTPs and physical KYC. Unlike SMS-based authentication, which can be vulnerable to SIM swap and phishing attacks, biometric verification is tied directly to the user’s identity. The system works by matching a
Apr 1, 2026 · via republicworld.com
UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 FORM 6-K REPORT OF FOREIGN PRIVATE ISSUER PURSUANT TO RULE 13a-16 OR 15d-16 OF THE SECURITIES EXCHANGE ACT OF 1934 For the month of April 2026 Commission File Number 001-41631 Xiao-I Corporation (Translation of registrant’s name into English) 5/F, Building 2, No. 2570 Hechuan Road, Minhang District Shanghai, China 201101 (Address of principal executive offices) Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F: Form 20-F ☒ Form 40-F ☐ INFORMATION CONTAINED IN THIS FORM 6-K REPORT Xiao-I Corporation (the “Company”) is furnishing this Report on Form 6-K to report the issuance of a press release providing an update on the final ruling by the Supreme People’s Court of the People’s Republic of China rejecting Apple’s appeal to invalidate certain patents of the Company’s variable interest entity involved in its patent infringement lawsuit against Apple. A copy of the press release is attached hereto as Exhibit 99.1. EXHIBIT INDEX | Exhibit No. | | Description | | 99.1 | | Press Release | SIGNATURES Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized. | Date: April 1, 2026 | Xiao-I Corporation | | | | | | By: | /s/ Hui Yuan | | | | Name: | Hui Yuan | | | | Title: | Chief Executive Officer | Exhibit 99.1 Xiao-I Corporation Provides Further Update on Shanghai Xiao-I’s Patent Infringement Lawsuit Against Apple Shanghai, China, March 31, 2026 Xiao-I Corporation (NASDAQ: AIXI), a leading developer of AI solutions, today provides an additional material update on its variable interest entity (VIE)’s ongoing patent infringement lawsuit against Apple
Apr 1, 2026 · via stocktitan.net